Hacker News (sometimes abbreviated as HN) is a social news website https://news.ycombinator.com/ focusing on computer science and entrepreneurship.
It is run by Paul Graham's investment fund and startup incubator, Y Combinator. In general, content that can be submitted is defined as "anything that gratifies one's intellectual curiosity."
The word hacker in "Hacker News" is used in its original meaning and refers to the hacker culture which consists of people who enjoy tinkering with technology.
The intention was to recreate a community similar to the early days of Reddit.
However, unlike Reddit where new users can immediately both upvote and downvote content, Hacker News does not allow users to downvote content until they have accumulated 501 "karma" points...
https://en.wikipedia.org/wiki/Hacker_News
We're specifically interested in posts with titles that begin with either Ask HN
or Show HN
.
Users submit Ask HN
posts to ask the Hacker News community a specific question and users also submit Show HN
posts to show the Hacker News community a project, product, or just something interesting.
We'll compare these two types of posts to determine the following:
Do Ask HN
or Show HN
receive more comments on average?
Do posts created at a certain time receive more comments on average?
We will compare the most common types of posts (Ask HN
or Show HN
) in this site to know:
What type of comments on average are the most abundant.
Analyze the relationship ( whether or not ) between the time
which posts are created and the number of comments they receive.
id
: the unique identifier from Hacker News for the post
title
: the title of the post
url
: the URL that the posts links to, if the post has a URL
num_points
: the number of points the post acquired, calculated as the total number of upvotes minus the total number of downvotes
num_comments
: the number of comments on the post
author
: the username of the person who submitted the post
created_at
: the date and time of the post's submission
from csv import reader
pathfolder = '/home/ion/Documentos/Formacion/Dataquest/Data Scientist in Python/Step-1/Python_for_Data_Science_Intermediate/13- Hacker_News'
hn = open(pathfolder + '/' + 'HN_posts_year_to_Sep_26_2016.csv')
hn = reader(hn)
hn = list(hn)
header = hn[0]
This is the header we are going to work with, which corresponds to row 0.
header
['id', 'title', 'url', 'num_points', 'num_comments', 'author', 'created_at']
These are the first 5 rows of our dataset with which we are going to work, so we can get an idea of the data content and what it looks like.
for filas in hn[0:5]:
print(filas)
['id', 'title', 'url', 'num_points', 'num_comments', 'author', 'created_at'] ['12579008', 'You have two days to comment if you want stem cells to be classified as your own', 'http://www.regulations.gov/document?D=FDA-2015-D-3719-0018', '1', '0', 'altstar', '9/26/2016 3:26'] ['12579005', 'SQLAR the SQLite Archiver', 'https://www.sqlite.org/sqlar/doc/trunk/README.md', '1', '0', 'blacksqr', '9/26/2016 3:24'] ['12578997', 'What if we just printed a flatscreen television on the side of our boxes?', 'https://medium.com/vanmoof/our-secrets-out-f21c1f03fdc8#.ietxmez43', '1', '0', 'pavel_lishin', '9/26/2016 3:19'] ['12578989', 'algorithmic music', 'http://cacm.acm.org/magazines/2011/7/109891-algorithmic-composition/fulltext', '1', '0', 'poindontcare', '9/26/2016 3:16']
headers = hn[0]
del hn[0]
print(headers)
['id', 'title', 'url', 'num_points', 'num_comments', 'author', 'created_at']
print(hn[0:4])
[['12579008', 'You have two days to comment if you want stem cells to be classified as your own', 'http://www.regulations.gov/document?D=FDA-2015-D-3719-0018', '1', '0', 'altstar', '9/26/2016 3:26'], ['12579005', 'SQLAR the SQLite Archiver', 'https://www.sqlite.org/sqlar/doc/trunk/README.md', '1', '0', 'blacksqr', '9/26/2016 3:24'], ['12578997', 'What if we just printed a flatscreen television on the side of our boxes?', 'https://medium.com/vanmoof/our-secrets-out-f21c1f03fdc8#.ietxmez43', '1', '0', 'pavel_lishin', '9/26/2016 3:19'], ['12578989', 'algorithmic music', 'http://cacm.acm.org/magazines/2011/7/109891-algorithmic-composition/fulltext', '1', '0', 'poindontcare', '9/26/2016 3:16']]
Now that we have removed the hn
headers, we are ready to filter our data.
Since we are only interested in the titles of entries that begin with:
Ask HN
or Show HN
we will create new lists of lists containing only the data for those two titles.To find posts starting with Ask HN
or Show HN
, we will use the string method startswith
.
example:
Given an object of type string, say string1
, we can check if it starts with *'whatever_it_is'*, just by inspecting the output of the object as follows:
string1.startswith('dq')
.If string1
starts with *'data*, it will return True, otherwise it will return False.
print('dataquest'.startswith('Data'))
`False`
print('dataquest'.startswith('data'))
`True`
In the above example we get False because dataquest does not start with 'what_it_is', however the second printout prints True because dataquest does start with 'what_it_is'.
Case is important, so if we want to control case, we can use the lower method which returns a lowercase version of the initial string. Here is an example:
print('DataQuest'.lower())
dataquest
The method object.startswith('string')
we have introduced makes it easier for us to filter the content in our list.
The strategy we will follow next to filter the information we will create three empty lists called: ask_posts, show_posts and other_posts.
We will loop through hn
and assign the title of each row to a variable called title
.
If the lowercase version of the title starts with ask hn, add the row to ask_posts.
Check the number of posts in ask_posts, show_posts, and other_posts.
Empty lists called:
ask_posts
other_posts
ask_posts = []
show_posts = []
other_posts = []
hn
.title
.for fila in hn:
title = fila[1]
#print(title)
If the lowercase version of title starts with ask hn
, append the row to ask_posts
.
Else if the lowercase version of title starts with show hn
, append the row to show_posts
.
Else append to other_posts
.
for fila in hn:
title = fila[1]
title = title.lower() # all in lower_case
if title.startswith('ask hn'):
ask_posts.append(fila)
elif title.startswith('show hn'):
show_posts.append(fila)
else:
other_posts.append(fila)
ask_posts
, show_posts
and other_posts
len(ask_posts)
9139
len(show_posts)
10158
len(other_posts)
273822
Samples of listing contents ask_posts
and show_posts
print(ask_posts[0:3])
[['12578908', 'Ask HN: What TLD do you use for local development?', '', '4', '7', 'Sevrene', '9/26/2016 2:53'], ['12578522', 'Ask HN: How do you pass on your work when you die?', '', '6', '3', 'PascLeRasc', '9/26/2016 1:17'], ['12577908', 'Ask HN: How a DNS problem can be limited to a geographic region?', '', '1', '0', 'kuon', '9/25/2016 22:57']]
print(show_posts[0:3])
[['12578335', 'Show HN: Finding puns computationally', 'http://puns.samueltaylor.org/', '2', '0', 'saamm', '9/26/2016 0:36'], ['12578182', 'Show HN: A simple library for complicated animations', 'https://christinecha.github.io/choreographer-js/', '1', '0', 'christinecha', '9/26/2016 0:01'], ['12578098', 'Show HN: WebGL visualization of DNA sequences', 'http://grondilu.github.io/dna.html', '1', '0', 'grondilu', '9/25/2016 23:44']]
The total number of comments on ask entries must be assigned to total_ask_comments.
Remenber Initialize total_ask_comments
= 0.
total_ask_comments = 0
Using a for loop to iterate over the ask_posts
entries.
The num_comments
column is the fifth column of ask_posts
, you will need to get the index element 4 in each row.
Also need to convert the value to an integer in order to calculate the sum of all comments.
total_ask_comments
.avg_ask_comments
.Header looks like:
['id', 'title', 'url', 'num_points', 'num_comments', 'author', 'created_at']
maxi = 0
for comment in ask_posts:
total_ask_comments += int(comment[4]) # convert string to int
if maxi <= int(comment[4]):
maxi = int(comment[4])
avg_ask_comments = total_ask_comments / len(ask_posts)
print('avg number of "Ask_posts" comments:', round(avg_ask_comments,2))
print('max number of "Ask_posts" comment:', maxi)
avg number of "Ask_posts" comments: 10.39 max number of "Ask_posts" comment: 1007
lista = []
most_important_questions = {}
maxi = 0
for comment in ask_posts:
if maxi < int(comment[4]):
maxi = int(comment[4])
most_important_questions[int(comment[4])] = comment[1]
most_voted = list(reversed(sorted(most_important_questions.keys())))
print("-- Score -- -- Tittle -- ")
for score in most_voted:
texto = " {points} {relevance}".format(points = score,relevance = most_important_questions[score])
print(texto)
-- Score -- -- Tittle -- 1007 Ask HN: Who is hiring? (June 2016) 947 Ask HN: Who is hiring? (August 2016) 910 Ask HN: Who is hiring? (September 2016) 660 Ask HN: Is web programming a series of hacks on hacks? 477 Ask HN: What do you wish someone would build? 97 Ask HN: What are the best practises for using SSH keys? 22 Ask HN: What is that one deciding factor that makes a website successful? 7 Ask HN: What TLD do you use for local development?
max_show = 0
total_show_comments = 0
for row in show_posts:
total_show_comments += int(row[4])
if max_show <= int(row[4]):
max_show = int(row[4])
avg_show_comments = total_show_comments / len(show_posts)
print('avg number of comments: "Show posts" ', round(avg_show_comments,2))
print('max number of "Show posts" comments:', max_show)
avg number of comments: "Show posts" 4.89 max number of "Show posts" comments: 306
most_important_show = {}
max_show = 0
for comment in show_posts:
if max_show < int(comment[4]):
max_show = int(comment[4])
most_important_show[int(comment[4])] = comment[1]
most_voted_show = list(reversed(sorted(most_important_show.keys())))
print("-- Score -- -- Tittle -- ")
for score in most_voted_show:
texto = " {points} {relevance}".format(points = score,relevance = most_important_show[score])
print(texto)
-- Score -- -- Tittle -- 306 Show HN: BitKeeper Enterprise-ready version control, now open-source 280 Show HN: I invented a caffeinated toothpaste 169 Show HN: Primitive Pictures 167 Show HN: Lemonade the world's first P2P insurance company 102 Show HN: InstaPart Build circuit boards faster with instant parts 26 Show HN: G9.js Automatically Interactive Differentiable Graphics 3 Show HN: Cursor that Screenshot 1 Show HN: Jumble Essays on the go #PaulInYourPocket
%%html
<style>
table {float:left}
</style>
-- Score -- | -- Tittle -- |
---|---|
1007 | Ask HN: Who is hiring? (June 2016) |
947 | Ask HN: Who is hiring? (August 2016) |
910 | Ask HN: Who is hiring? (September 2016) |
660 | Ask HN: Is web programming a series of hacks on hacks? |
477 | Ask HN: What do you wish someone would build? |
97 | Ask HN: What are the best practises for using SSH keys? |
22 | Ask HN: What is that one deciding factor that makes a website successful? |
7 | Ask HN: What TLD do you use for local development? |
-- Score -- | -- Tittle -- |
---|---|
306 | Show HN: BitKeeper Enterprise-ready version control, now open-source |
280 | Show HN: I invented a caffeinated toothpaste |
169 | Show HN: Primitive Pictures |
167 | Show HN: Lemonade the world's first P2P insurance company |
102 | Show HN: InstaPart Build circuit boards faster with instant parts |
26 | Show HN: G9.js Automatically Interactive Differentiable Graphics |
3 | Show HN: Cursor that Screenshot |
1 | Show HN: Jumble Essays on the go #PaulInYourPocke |
Clearly there is a higher average value in the creation of questions we also see that the scores that have received the questions are much higher than the posts with a show content.
The highest score in show post is almost close to the fifth position of the posts in which questions are asked.
We can observe is that what matters most to the users of this forum (always taking into account the value of the scores) and that it is in the first three positions is to know who or what company is hiring, so this is a place to know about this.
Another thing that we can deduce is that in June 2016 the importance of that question occupies the first position while as time passes in August and September the importance (according to the score) is reduced.
In another hand the relation to the content of the show post the most voted is related to know that BitKeeper is a fast, enterprise-ready, available as Open Source under the Apache 2.0 License distributed SCM that scales up to very large projects and down to tiny ones.
Ask posted
and Comments posted
by Hour Created¶On the previous screen, we determined that, on average, ask posts receive more comments than show posts.
Since ask posts are more likely to receive comments, we'll focus our remaining analysis just on these posts.
Next, we'll determine if ask posts created at a certain time are more likely to attract comments. We'll use the following steps to perform this analysis:
Calculate the number of ask posts created in each hour of the day, along with the number of comments received.
Calculate the average number of comments ask posts receive by hour created.
NOTE: we can use the datetime.strptime()
constructor to parse dates stored as strings and return datetime objects, example:
date_1_str = "December 24, 1984"
date_1_dt = dt.datetime.strptime(date_1_str, "%B %d, %Y")
Let's use this technique to calculate the number of ask posts created per hour, along with the total number of comments.
import datetime as dt
Create an empty list, and assign it to result_list
. This will be a list of lists.
result_list = []
This will be a list of lists.
Iterate over ask_posts
, and append to result_list
a list with two elements:
created_at
.Because the `created_at` column is the seventh column in `ask_posts`, you'll need to get the element at index 6 in each row.
tupla_list = []
for row in ask_posts:
time_stamp = row[6]
num_comment = row[4]
tupla = (time_stamp, num_comment)
result_list.append(tupla)
result_list
[('9/26/2016 2:53', '7'), ('9/26/2016 1:17', '3'), ('9/25/2016 22:57', '0'), ('9/25/2016 22:48', '3'), ('9/25/2016 21:50', '2'), ('9/25/2016 19:30', '1'), ('9/25/2016 19:22', '22'), ('9/25/2016 17:55', '3'), ('9/25/2016 15:48', '0'), ('9/25/2016 15:35', '13'), ('9/25/2016 15:28', '0'), ('9/25/2016 14:43', '0'), ('9/25/2016 14:17', '3'), ('9/25/2016 13:08', '2'), ('9/25/2016 11:27', '2'), ('9/25/2016 10:51', '0'), ('9/25/2016 10:47', '6'), ('9/25/2016 9:04', '97'), ('9/25/2016 7:09', '4'), ('9/25/2016 3:00', '1'), ('9/24/2016 23:04', '0'), ('9/24/2016 22:02', '7'), ('9/24/2016 21:18', '2'), ('9/24/2016 20:58', '0'), ('9/24/2016 19:57', '1'), ('9/24/2016 19:02', '0'), ('9/24/2016 17:55', '0'), ('9/24/2016 17:27', '1'), ('9/24/2016 16:50', '0'), ('9/24/2016 16:03', '5'), ('9/24/2016 15:29', '66'), ('9/24/2016 14:03', '1'), ('9/24/2016 10:10', '11'), ('9/24/2016 8:46', '7'), ('9/24/2016 8:39', '1'), ('9/24/2016 8:38', '1'), ('9/24/2016 8:28', '1'), ('9/24/2016 3:36', '3'), ('9/24/2016 0:21', '2'), ('9/23/2016 23:38', '6'), ('9/23/2016 23:35', '6'), ('9/23/2016 22:13', '4'), ('9/23/2016 20:58', '2'), ('9/23/2016 20:42', '0'), ('9/23/2016 20:23', '1'), ('9/23/2016 20:18', '477'), ('9/23/2016 19:33', '3'), ('9/23/2016 19:32', '10'), ('9/23/2016 18:56', '12'), ('9/23/2016 18:53', '4'), ('9/23/2016 17:45', '1'), ('9/23/2016 17:35', '1'), ('9/23/2016 17:28', '25'), ('9/23/2016 16:56', '2'), ('9/23/2016 16:14', '3'), ('9/23/2016 12:39', '6'), ('9/23/2016 9:58', '1'), ('9/23/2016 4:47', '2'), ('9/23/2016 2:28', '3'), ('9/23/2016 1:56', '8'), ('9/23/2016 1:24', '2'), ('9/23/2016 1:23', '1'), ('9/23/2016 0:58', '0'), ('9/23/2016 0:11', '5'), ('9/22/2016 21:45', '3'), ('9/22/2016 21:19', '5'), ('9/22/2016 19:58', '19'), ('9/22/2016 19:42', '6'), ('9/22/2016 19:40', '23'), ('9/22/2016 19:18', '2'), ('9/22/2016 18:16', '1'), ('9/22/2016 17:43', '0'), ('9/22/2016 17:38', '0'), ('9/22/2016 17:27', '0'), ('9/22/2016 17:27', '26'), ('9/22/2016 17:05', '0'), ('9/22/2016 16:34', '0'), ('9/22/2016 15:44', '1'), ('9/22/2016 15:18', '10'), ('9/22/2016 15:18', '1'), ('9/22/2016 14:49', '62'), ('9/22/2016 13:11', '0'), ('9/22/2016 12:58', '0'), ('9/22/2016 12:55', '0'), ('9/22/2016 12:50', '3'), ('9/22/2016 11:52', '266'), ('9/22/2016 6:25', '1'), ('9/22/2016 6:19', '2'), ('9/22/2016 5:03', '0'), ('9/22/2016 4:55', '0'), ('9/22/2016 0:47', '0'), ('9/21/2016 23:37', '0'), ('9/21/2016 23:03', '22'), ('9/21/2016 21:14', '1'), ('9/21/2016 20:53', '6'), ('9/21/2016 20:35', '1'), ('9/21/2016 20:33', '1'), ('9/21/2016 19:30', '1'), ('9/21/2016 19:18', '46'), ('9/21/2016 18:39', '0'), ('9/21/2016 18:11', '2'), ('9/21/2016 17:56', '5'), ('9/21/2016 17:46', '23'), ('9/21/2016 17:36', '0'), ('9/21/2016 17:24', '0'), ('9/21/2016 14:50', '62'), ('9/21/2016 14:35', '2'), ('9/21/2016 13:49', '2'), ('9/21/2016 13:42', '61'), ('9/21/2016 12:24', '1'), ('9/21/2016 12:17', '4'), ('9/21/2016 12:00', '2'), ('9/21/2016 11:28', '0'), ('9/21/2016 10:41', '0'), ('9/21/2016 9:49', '1'), ('9/21/2016 8:26', '1'), ('9/21/2016 8:16', '2'), ('9/21/2016 7:12', '10'), ('9/21/2016 5:27', '0'), ('9/21/2016 4:58', '2'), ('9/21/2016 4:02', '1'), ('9/21/2016 2:45', '94'), ('9/21/2016 2:36', '30'), ('9/21/2016 0:38', '1'), ('9/21/2016 0:31', '1'), ('9/20/2016 23:20', '3'), ('9/20/2016 22:48', '20'), ('9/20/2016 21:41', '14'), ('9/20/2016 21:07', '12'), ('9/20/2016 21:00', '30'), ('9/20/2016 20:37', '2'), ('9/20/2016 19:39', '7'), ('9/20/2016 19:20', '1'), ('9/20/2016 18:45', '7'), ('9/20/2016 18:37', '1'), ('9/20/2016 18:30', '0'), ('9/20/2016 18:20', '3'), ('9/20/2016 17:41', '11'), ('9/20/2016 17:32', '3'), ('9/20/2016 16:35', '1'), ('9/20/2016 16:17', '20'), ('9/20/2016 16:08', '8'), ('9/20/2016 15:30', '3'), ('9/20/2016 14:54', '0'), ('9/20/2016 14:42', '4'), ('9/20/2016 14:22', '2'), ('9/20/2016 14:21', '0'), ('9/20/2016 12:11', '1'), ('9/20/2016 12:09', '2'), ('9/20/2016 11:29', '4'), ('9/20/2016 11:23', '7'), ('9/20/2016 11:02', '2'), ('9/20/2016 8:32', '0'), ('9/20/2016 8:03', '2'), ('9/20/2016 7:20', '0'), ('9/20/2016 6:43', '3'), ('9/20/2016 6:04', '4'), ('9/20/2016 5:13', '3'), ('9/20/2016 5:07', '0'), ('9/19/2016 23:55', '10'), ('9/19/2016 23:31', '59'), ('9/19/2016 22:50', '5'), ('9/19/2016 21:48', '1'), ('9/19/2016 21:42', '3'), ('9/19/2016 21:19', '1'), ('9/19/2016 19:57', '0'), ('9/19/2016 19:40', '1'), ('9/19/2016 19:21', '28'), ('9/19/2016 19:04', '2'), ('9/19/2016 18:55', '0'), ('9/19/2016 18:51', '14'), ('9/19/2016 18:28', '2'), ('9/19/2016 18:23', '0'), ('9/19/2016 18:16', '0'), ('9/19/2016 16:40', '0'), ('9/19/2016 16:04', '2'), ('9/19/2016 15:57', '1'), ('9/19/2016 15:54', '0'), ('9/19/2016 15:51', '7'), ('9/19/2016 15:31', '2'), ('9/19/2016 15:15', '0'), ('9/19/2016 14:43', '6'), ('9/19/2016 14:36', '10'), ('9/19/2016 14:21', '1'), ('9/19/2016 13:40', '11'), ('9/19/2016 12:54', '2'), ('9/19/2016 9:45', '7'), ('9/19/2016 9:42', '1'), ('9/19/2016 8:31', '2'), ('9/19/2016 7:44', '22'), ('9/19/2016 6:06', '73'), ('9/19/2016 2:07', '14'), 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'1'), ('8/28/2016 23:46', '57'), ('8/28/2016 23:40', '0'), ('8/28/2016 21:24', '2'), ('8/28/2016 20:38', '4'), ('8/28/2016 20:16', '2'), ('8/28/2016 20:05', '0'), ('8/28/2016 18:58', '3'), ('8/28/2016 18:24', '6'), ('8/28/2016 18:06', '2'), ('8/28/2016 17:42', '1'), ('8/28/2016 16:58', '5'), ('8/28/2016 15:40', '2'), ('8/28/2016 14:41', '3'), ('8/28/2016 14:34', '7'), ('8/28/2016 14:16', '106'), ('8/28/2016 12:33', '221'), ('8/28/2016 11:07', '2'), ('8/28/2016 10:13', '3'), ('8/28/2016 7:11', '0'), ('8/28/2016 6:18', '1'), ('8/28/2016 5:24', '1'), ('8/28/2016 5:19', '5'), ('8/28/2016 4:22', '8'), ('8/28/2016 2:00', '4'), ('8/28/2016 1:00', '9'), ('8/28/2016 0:03', '1'), ('8/27/2016 23:52', '10'), ('8/27/2016 22:29', '88'), ('8/27/2016 21:36', '6'), ('8/27/2016 20:09', '3'), ('8/27/2016 19:42', '3'), ('8/27/2016 19:38', '5'), ('8/27/2016 19:31', '93'), ('8/27/2016 19:03', '2'), ('8/27/2016 18:05', '11'), ('8/27/2016 17:07', '1'), ('8/27/2016 15:21', '3'), ('8/27/2016 13:20', '1'), ('8/27/2016 13:15', '5'), ('8/27/2016 12:09', '5'), ('8/27/2016 11:44', '4'), ('8/27/2016 11:33', '21'), ('8/27/2016 10:25', '3'), ('8/27/2016 8:42', '0'), ('8/27/2016 6:19', '7'), ('8/27/2016 5:56', '2'), ('8/27/2016 2:53', '0'), ('8/27/2016 1:47', '2'), ('8/27/2016 0:57', '2'), ('8/26/2016 22:56', '1'), ('8/26/2016 22:38', '0'), ('8/26/2016 20:54', '3'), ('8/26/2016 20:22', '5'), ('8/26/2016 19:25', '15'), ('8/26/2016 16:10', '2'), ('8/26/2016 15:39', '1'), ('8/26/2016 15:36', '0'), ('8/26/2016 15:23', '15'), ('8/26/2016 15:08', '0'), ('8/26/2016 15:07', '0'), ('8/26/2016 14:28', '1'), ('8/26/2016 14:12', '3'), ('8/26/2016 10:01', '1'), ('8/26/2016 9:44', '2'), ('8/26/2016 8:39', '24'), ('8/26/2016 6:57', '1'), ('8/26/2016 6:35', '0'), ('8/26/2016 3:48', '0'), ('8/26/2016 2:19', '6'), ('8/26/2016 1:54', '10'), ('8/26/2016 1:39', '7'), ('8/26/2016 0:49', '1'), ('8/25/2016 21:49', '5'), ('8/25/2016 21:16', '0'), ('8/25/2016 21:11', '8'), ('8/25/2016 20:04', '0'), ('8/25/2016 18:53', '0'), ('8/25/2016 17:43', '12'), ('8/25/2016 17:37', '5'), ('8/25/2016 16:00', '3'), ('8/25/2016 15:31', '10'), ('8/25/2016 15:18', '1'), ('8/25/2016 15:07', '59'), ('8/25/2016 14:51', '1'), ('8/25/2016 14:36', '0'), ('8/25/2016 13:58', '0'), ('8/25/2016 12:47', '2'), ('8/25/2016 12:22', '8'), ('8/25/2016 11:20', '6'), ('8/25/2016 10:49', '2'), ('8/25/2016 10:03', '2'), ('8/25/2016 9:59', '1'), ('8/25/2016 7:33', '5'), ('8/25/2016 7:12', '2'), ('8/25/2016 6:59', '7'), ('8/25/2016 5:35', '7'), ('8/25/2016 4:48', '0'), ('8/25/2016 3:35', '2'), ('8/25/2016 1:54', '2'), ('8/25/2016 1:17', '42'), ('8/24/2016 23:54', '1'), ('8/24/2016 22:41', '10'), ('8/24/2016 22:34', '2'), ('8/24/2016 22:04', '6'), ('8/24/2016 21:52', '6'), ('8/24/2016 21:16', '0'), ('8/24/2016 21:02', '9'), ('8/24/2016 20:27', '1'), ('8/24/2016 19:50', '0'), ('8/24/2016 18:41', '1'), ('8/24/2016 17:38', '1'), ('8/24/2016 16:31', '0'), ('8/24/2016 16:11', '0'), ('8/24/2016 16:03', '2'), ('8/24/2016 15:23', '2'), ('8/24/2016 14:48', '2'), ('8/24/2016 14:10', '0'), ('8/24/2016 13:54', '0'), ('8/24/2016 12:09', '1'), ('8/24/2016 12:07', '2'), ('8/24/2016 11:54', '26'), ('8/24/2016 10:50', '10'), ('8/24/2016 9:57', '83'), ('8/24/2016 8:11', '0'), ('8/24/2016 6:48', '0'), ('8/24/2016 6:17', '1'), ('8/24/2016 5:56', '0'), ('8/24/2016 3:41', '5'), ('8/24/2016 2:35', '1'), ('8/24/2016 2:15', '23'), ('8/24/2016 2:03', '2'), ('8/24/2016 0:05', '234'), ('8/23/2016 23:22', '6'), ('8/23/2016 21:56', '1'), ('8/23/2016 21:02', '3'), ('8/23/2016 20:46', '0'), ('8/23/2016 20:00', '2'), ('8/23/2016 19:11', '2'), ('8/23/2016 19:05', '1'), ('8/23/2016 18:35', '22'), ('8/23/2016 17:58', '5'), ('8/23/2016 17:01', '0'), ('8/23/2016 16:51', '3'), ('8/23/2016 15:01', '5'), ('8/23/2016 14:36', '2'), ('8/23/2016 14:23', '1'), ('8/23/2016 13:49', '10'), ('8/23/2016 13:48', '4'), ('8/23/2016 13:23', '26'), ('8/23/2016 13:13', '2'), ('8/23/2016 12:59', '6'), ('8/23/2016 12:43', '1'), ('8/23/2016 12:43', '4'), ('8/23/2016 12:35', '26'), ('8/23/2016 12:34', '0'), ('8/23/2016 11:50', '8'), ('8/23/2016 8:52', '3'), ('8/23/2016 7:29', '2'), ('8/23/2016 4:32', '3'), ('8/23/2016 3:50', '12'), ('8/23/2016 1:47', '0'), ('8/23/2016 1:17', '0'), ('8/23/2016 0:57', '0'), ('8/23/2016 0:53', '15'), ('8/22/2016 22:28', '0'), ('8/22/2016 20:56', '1'), ('8/22/2016 19:55', '0'), ('8/22/2016 19:28', '9'), ('8/22/2016 18:23', '3'), ('8/22/2016 18:01', '6'), ('8/22/2016 17:17', '8'), ('8/22/2016 17:05', '3'), ('8/22/2016 17:04', '0'), ('8/22/2016 16:56', '0'), ('8/22/2016 16:46', '0'), ('8/22/2016 16:41', '44'), ('8/22/2016 15:14', '0'), ('8/22/2016 15:06', '1'), ('8/22/2016 14:46', '126'), ('8/22/2016 14:45', '1'), ('8/22/2016 14:38', '1'), ('8/22/2016 13:52', '1'), ...]
Create two empty dictionaries called counts_by_hour
and comments_by_hour
.
Loop through each row of result_list
.
Extract the hour from the date, which is the first element of the row.
Use the datetime.strptime() method to parse the date and create a datetime object.
Use the string we want to parse as the first argument and a string that specifies the format as the second argument.
Use the datetime.strftime() method to select just the hour from the datetime object.
If the hour isn't a key in counts_by_hour
:
counts_by_hour
, and set it equal to 1.comments_by_hour
, and set it equal to the comment number
.If the hour is already a key in counts_by_hour
:
counts_by_hour
by 1.comments_by_hour
by the comment number
.counts_by_hour = {}
comments_by_hour = {}
for row in result_list:
time_stamp = row[0]
time_obj = dt.datetime.strptime(time_stamp, "%m/%d/%Y %H:%M")
num_comments = int(row[1])
hour = time_obj.hour
if hour not in counts_by_hour:
counts_by_hour[hour] = 1
comments_by_hour[hour] = num_comments
elif hour in counts_by_hour:
counts_by_hour[hour] += 1
comments_by_hour[hour] += num_comments
print(counts_by_hour)
print("---")
print(comments_by_hour)
{2: 269, 1: 282, 22: 383, 21: 518, 19: 552, 17: 587, 15: 646, 14: 513, 13: 444, 11: 312, 10: 282, 9: 222, 7: 226, 3: 271, 23: 343, 20: 510, 16: 579, 8: 257, 0: 301, 18: 614, 12: 342, 4: 243, 6: 234, 5: 209} --- {2: 2996, 1: 2089, 22: 3372, 21: 4500, 19: 3954, 17: 5547, 15: 18525, 14: 4972, 13: 7245, 11: 2797, 10: 3013, 9: 1477, 7: 1585, 3: 2154, 23: 2297, 20: 4462, 16: 4466, 8: 2362, 0: 2277, 18: 4877, 12: 4234, 4: 2360, 6: 1587, 5: 1838}
counts_by_hour
: contains the number of ask posts
created during each hour of the day.
comments_by_hour
: contains the corresponding number of comments ask posts
created at each hour received.
Next, we'll use these two dictionaries to calculate the average number of comments for posts created during each hour of the day.
example:
*To illustrate the technique, let's work with the following dictionary:
sample_dict = {
'apple': 2,
'banana': 4,
'orange': 6
}
*Suppose we wanted to multiply each of the values by ten and return the results as a list of lists. We can use the following code:
fruits = []
for fruit in sample_dict:
fruits.append([fruit, 10*sample_dict[fruit]])
Below are the results:
[['apple', 20], ['banana', 40], ['orange', 60]]
Calculate the average number of comments per post, for posts created during each hour of the day.
avg_by_hour = []
for horas in counts_by_hour:
avg_by_hour.append([horas, comments_by_hour[horas] / counts_by_hour[horas]])
#avg_by_hour.append([horas / comments_by_hour[horas]])
#print(horas)
avg_by_hour
[[2, 11.137546468401487], [1, 7.407801418439717], [22, 8.804177545691905], [21, 8.687258687258687], [19, 7.163043478260869], [17, 9.449744463373083], [15, 28.676470588235293], [14, 9.692007797270955], [13, 16.31756756756757], [11, 8.96474358974359], [10, 10.684397163120567], [9, 6.653153153153153], [7, 7.013274336283186], [3, 7.948339483394834], [23, 6.696793002915452], [20, 8.749019607843136], [16, 7.713298791018998], [8, 9.190661478599221], [0, 7.5647840531561465], [18, 7.94299674267101], [12, 12.380116959064328], [4, 9.7119341563786], [6, 6.782051282051282], [5, 8.794258373205741]]
avg_by_hour: Average number of comments for posts created during each hour of the day, and stored the results in a list of lists named.
Although we now have the results we need, this format makes it difficult to identify the hours with the highest values. Let's finish by sorting the list of lists and printing the five highest values in a format that's easier to read.
swap_avg_by_hour = []
for row in avg_by_hour:
a = row[0]
b = row[1]
tupla = (a,b)
swap_avg_by_hour.append(tupla)
swap_avg_by_hour
[(2, 11.137546468401487), (1, 7.407801418439717), (22, 8.804177545691905), (21, 8.687258687258687), (19, 7.163043478260869), (17, 9.449744463373083), (15, 28.676470588235293), (14, 9.692007797270955), (13, 16.31756756756757), (11, 8.96474358974359), (10, 10.684397163120567), (9, 6.653153153153153), (7, 7.013274336283186), (3, 7.948339483394834), (23, 6.696793002915452), (20, 8.749019607843136), (16, 7.713298791018998), (8, 9.190661478599221), (0, 7.5647840531561465), (18, 7.94299674267101), (12, 12.380116959064328), (4, 9.7119341563786), (6, 6.782051282051282), (5, 8.794258373205741)]
sorted_swap = sorted(avg_by_hour, reverse=True)
sorted_swap
[[23, 6.696793002915452], [22, 8.804177545691905], [21, 8.687258687258687], [20, 8.749019607843136], [19, 7.163043478260869], [18, 7.94299674267101], [17, 9.449744463373083], [16, 7.713298791018998], [15, 28.676470588235293], [14, 9.692007797270955], [13, 16.31756756756757], [12, 12.380116959064328], [11, 8.96474358974359], [10, 10.684397163120567], [9, 6.653153153153153], [8, 9.190661478599221], [7, 7.013274336283186], [6, 6.782051282051282], [5, 8.794258373205741], [4, 9.7119341563786], [3, 7.948339483394834], [2, 11.137546468401487], [1, 7.407801418439717], [0, 7.5647840531561465]]
print("Top 5 Hours for Ask Posts Comments")
Top 5 Hours for Ask Posts Comments
sorted_swap
[[23, 6.696793002915452], [22, 8.804177545691905], [21, 8.687258687258687], [20, 8.749019607843136], [19, 7.163043478260869], [18, 7.94299674267101], [17, 9.449744463373083], [16, 7.713298791018998], [15, 28.676470588235293], [14, 9.692007797270955], [13, 16.31756756756757], [12, 12.380116959064328], [11, 8.96474358974359], [10, 10.684397163120567], [9, 6.653153153153153], [8, 9.190661478599221], [7, 7.013274336283186], [6, 6.782051282051282], [5, 8.794258373205741], [4, 9.7119341563786], [3, 7.948339483394834], [2, 11.137546468401487], [1, 7.407801418439717], [0, 7.5647840531561465]]
date_format = "%H"
#15:00: 38.59 average comments per post.
for row in sorted_swap:
horas = row[0]
hora = str(horas)
objeto_datetime = dt.datetime.strptime(hora, date_format)
hora = objeto_datetime.hour
avg_comment = row[1]
plantilla = "{h}:00 {c:.2f} average comments per post".format(h = horas, c = avg_comment )
print(plantilla)
23:00 6.70 average comments per post 22:00 8.80 average comments per post 21:00 8.69 average comments per post 20:00 8.75 average comments per post 19:00 7.16 average comments per post 18:00 7.94 average comments per post 17:00 9.45 average comments per post 16:00 7.71 average comments per post 15:00 28.68 average comments per post 14:00 9.69 average comments per post 13:00 16.32 average comments per post 12:00 12.38 average comments per post 11:00 8.96 average comments per post 10:00 10.68 average comments per post 9:00 6.65 average comments per post 8:00 9.19 average comments per post 7:00 7.01 average comments per post 6:00 6.78 average comments per post 5:00 8.79 average comments per post 4:00 9.71 average comments per post 3:00 7.95 average comments per post 2:00 11.14 average comments per post 1:00 7.41 average comments per post 0:00 7.56 average comments per post
swap_avg_by_hour = []
for row in avg_by_hour:
a = row[1]
b = row[0]
tupla = (a,b)
swap_avg_by_hour.append(tupla)
swap_avg_by_hour
[(11.137546468401487, 2), (7.407801418439717, 1), (8.804177545691905, 22), (8.687258687258687, 21), (7.163043478260869, 19), (9.449744463373083, 17), (28.676470588235293, 15), (9.692007797270955, 14), (16.31756756756757, 13), (8.96474358974359, 11), (10.684397163120567, 10), (6.653153153153153, 9), (7.013274336283186, 7), (7.948339483394834, 3), (6.696793002915452, 23), (8.749019607843136, 20), (7.713298791018998, 16), (9.190661478599221, 8), (7.5647840531561465, 0), (7.94299674267101, 18), (12.380116959064328, 12), (9.7119341563786, 4), (6.782051282051282, 6), (8.794258373205741, 5)]
sorted_swap = sorted(swap_avg_by_hour, reverse=True)
sorted_swap
[(28.676470588235293, 15), (16.31756756756757, 13), (12.380116959064328, 12), (11.137546468401487, 2), (10.684397163120567, 10), (9.7119341563786, 4), (9.692007797270955, 14), (9.449744463373083, 17), (9.190661478599221, 8), (8.96474358974359, 11), (8.804177545691905, 22), (8.794258373205741, 5), (8.749019607843136, 20), (8.687258687258687, 21), (7.948339483394834, 3), (7.94299674267101, 18), (7.713298791018998, 16), (7.5647840531561465, 0), (7.407801418439717, 1), (7.163043478260869, 19), (7.013274336283186, 7), (6.782051282051282, 6), (6.696793002915452, 23), (6.653153153153153, 9)]
date_format = "%H"
#15:00: 38.59 average comments per post.
for row in sorted_swap[0:4]:
horas = row[1]
hora = str(horas)
objeto_datetime = dt.datetime.strptime(hora, date_format)
hora = objeto_datetime.hour
avg_comment = row[0]
#dt_string = format(horas)+":00: ",avg_comment,"average comments per post." <- no format way
plantilla = "{h}:00 {c:.2f} average comments per post".format(h = horas, c = avg_comment )
print(plantilla)
15:00 28.68 average comments per post 13:00 16.32 average comments per post 12:00 12.38 average comments per post 2:00 11.14 average comments per post
Header looks like:
['id', 'title', 'url', 'num_points', 'num_comments', 'author', 'created_at']
import datetime as dt
for row in ask_posts:
print(row[6])
#print(type(row[6]))
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10/4/2015 15:59 10/4/2015 15:50 10/4/2015 14:49 10/4/2015 13:49 10/4/2015 11:44 10/4/2015 11:42 10/4/2015 10:09 10/4/2015 5:10 10/4/2015 4:12 10/4/2015 3:32 10/4/2015 2:19 10/3/2015 23:51 10/3/2015 23:25 10/3/2015 23:03 10/3/2015 23:02 10/3/2015 21:01 10/3/2015 20:30 10/3/2015 19:46 10/3/2015 19:20 10/3/2015 18:03 10/3/2015 17:54 10/3/2015 15:55 10/3/2015 14:56 10/3/2015 11:37 10/3/2015 8:59 10/3/2015 6:44 10/3/2015 5:09 10/3/2015 1:39 10/2/2015 22:37 10/2/2015 22:26 10/2/2015 19:52 10/2/2015 18:14 10/2/2015 17:48 10/2/2015 17:07 10/2/2015 16:55 10/2/2015 16:48 10/2/2015 16:18 10/2/2015 15:30 10/2/2015 15:27 10/2/2015 15:08 10/2/2015 14:26 10/2/2015 14:09 10/2/2015 13:59 10/2/2015 13:19 10/2/2015 12:30 10/2/2015 10:02 10/2/2015 8:37 10/2/2015 5:26 10/2/2015 3:42 10/2/2015 2:04 10/2/2015 1:13 10/1/2015 23:05 10/1/2015 19:49 10/1/2015 19:27 10/1/2015 19:26 10/1/2015 19:22 10/1/2015 19:15 10/1/2015 18:03 10/1/2015 15:50 10/1/2015 15:38 10/1/2015 15:26 10/1/2015 15:00 10/1/2015 15:00 10/1/2015 15:00 10/1/2015 14:58 10/1/2015 12:31 10/1/2015 12:15 10/1/2015 11:38 10/1/2015 10:40 10/1/2015 6:24 10/1/2015 6:01 10/1/2015 5:54 10/1/2015 3:46 10/1/2015 3:44 10/1/2015 2:02 10/1/2015 1:03 10/1/2015 0:27 9/30/2015 23:59 9/30/2015 19:55 9/30/2015 17:46 9/30/2015 17:01 9/30/2015 14:41 9/30/2015 14:05 9/30/2015 13:36 9/30/2015 10:26 9/30/2015 8:50 9/30/2015 8:35 9/30/2015 5:18 9/30/2015 5:08 9/30/2015 3:39 9/30/2015 1:51 9/29/2015 22:51 9/29/2015 21:43 9/29/2015 20:47 9/29/2015 20:46 9/29/2015 17:32 9/29/2015 17:16 9/29/2015 16:37 9/29/2015 16:04 9/29/2015 15:58 9/29/2015 9:14 9/29/2015 8:07 9/29/2015 6:56 9/29/2015 4:22 9/29/2015 3:21 9/28/2015 22:42 9/28/2015 20:08 9/28/2015 19:24 9/28/2015 18:54 9/28/2015 16:51 9/28/2015 16:21 9/28/2015 16:21 9/28/2015 16:08 9/28/2015 15:22 9/28/2015 14:52 9/28/2015 14:34 9/28/2015 14:28 9/28/2015 13:54 9/28/2015 11:43 9/28/2015 10:56 9/28/2015 7:05 9/28/2015 4:25 9/28/2015 3:52 9/28/2015 2:42 9/28/2015 1:17 9/28/2015 0:35 9/28/2015 0:33 9/28/2015 0:17 9/27/2015 22:44 9/27/2015 22:07 9/27/2015 21:20 9/27/2015 20:20 9/27/2015 18:27 9/27/2015 15:36 9/27/2015 15:36 9/27/2015 14:27 9/27/2015 13:12 9/27/2015 12:27 9/27/2015 10:16 9/27/2015 3:53 9/27/2015 1:40 9/26/2015 23:23 9/26/2015 21:48 9/26/2015 21:28 9/26/2015 21:16 9/26/2015 20:47 9/26/2015 20:33 9/26/2015 20:06 9/26/2015 19:50 9/26/2015 17:49 9/26/2015 10:37 9/26/2015 10:24 9/26/2015 7:54 9/26/2015 6:58 9/26/2015 4:09 9/26/2015 0:48 9/25/2015 22:11 9/25/2015 20:56 9/25/2015 19:31 9/25/2015 18:32 9/25/2015 18:13 9/25/2015 18:12 9/25/2015 17:28 9/25/2015 16:44 9/25/2015 16:15 9/25/2015 15:57 9/25/2015 15:44 9/25/2015 14:23 9/25/2015 13:52 9/25/2015 10:52 9/25/2015 10:31 9/25/2015 10:12 9/25/2015 10:10 9/25/2015 9:12 9/25/2015 8:34 9/25/2015 5:58 9/25/2015 5:14 9/25/2015 3:34 9/25/2015 1:44 9/25/2015 0:03 9/24/2015 22:38 9/24/2015 21:30 9/24/2015 20:34 9/24/2015 20:03 9/24/2015 20:02 9/24/2015 18:58 9/24/2015 18:33 9/24/2015 18:10 9/24/2015 17:30 9/24/2015 16:44 9/24/2015 16:24 9/24/2015 15:59 9/24/2015 15:54 9/24/2015 15:50 9/24/2015 15:10 9/24/2015 14:57 9/24/2015 13:38 9/24/2015 11:19 9/24/2015 9:51 9/24/2015 9:11 9/24/2015 8:09 9/24/2015 4:03 9/23/2015 22:16 9/23/2015 22:16 9/23/2015 20:56 9/23/2015 20:23 9/23/2015 20:16 9/23/2015 19:38 9/23/2015 19:00 9/23/2015 17:51 9/23/2015 17:33 9/23/2015 15:36 9/23/2015 15:36 9/23/2015 15:25 9/23/2015 15:03 9/23/2015 14:57 9/23/2015 14:29 9/23/2015 14:04 9/23/2015 13:26 9/23/2015 12:42 9/23/2015 11:13 9/23/2015 10:31 9/23/2015 7:15 9/23/2015 6:18 9/23/2015 3:58 9/23/2015 3:46 9/23/2015 3:17 9/23/2015 3:00 9/23/2015 0:37 9/23/2015 0:31 9/23/2015 0:17 9/22/2015 21:55 9/22/2015 20:08 9/22/2015 19:47 9/22/2015 19:33 9/22/2015 18:23 9/22/2015 18:23 9/22/2015 18:21 9/22/2015 17:25 9/22/2015 16:35 9/22/2015 16:30 9/22/2015 16:08 9/22/2015 16:08 9/22/2015 15:45 9/22/2015 15:21 9/22/2015 13:48 9/22/2015 13:16 9/22/2015 12:59 9/22/2015 12:19 9/22/2015 12:09 9/22/2015 11:37 9/22/2015 11:35 9/22/2015 10:52 9/22/2015 10:30 9/22/2015 7:20 9/22/2015 7:15 9/22/2015 6:09 9/22/2015 6:05 9/22/2015 5:24 9/22/2015 4:56 9/22/2015 4:41 9/21/2015 23:02 9/21/2015 22:28 9/21/2015 21:42 9/21/2015 21:05 9/21/2015 20:55 9/21/2015 20:51 9/21/2015 19:40 9/21/2015 19:36 9/21/2015 19:26 9/21/2015 18:23 9/21/2015 17:45 9/21/2015 16:59 9/21/2015 16:36 9/21/2015 16:34 9/21/2015 16:27 9/21/2015 16:00 9/21/2015 15:05 9/21/2015 14:57 9/21/2015 14:33 9/21/2015 14:28 9/21/2015 13:55 9/21/2015 12:45 9/21/2015 9:02 9/21/2015 6:31 9/21/2015 3:55 9/21/2015 1:01 9/21/2015 0:57 9/21/2015 0:44 9/20/2015 22:22 9/20/2015 22:08 9/20/2015 20:52 9/20/2015 20:35 9/20/2015 19:56 9/20/2015 19:28 9/20/2015 18:05 9/20/2015 17:27 9/20/2015 16:52 9/20/2015 16:46 9/20/2015 16:45 9/20/2015 16:27 9/20/2015 16:14 9/20/2015 15:56 9/20/2015 15:10 9/20/2015 14:45 9/20/2015 14:13 9/20/2015 13:43 9/20/2015 13:23 9/20/2015 12:41 9/20/2015 12:41 9/20/2015 12:32 9/20/2015 11:27 9/20/2015 9:56 9/20/2015 9:06 9/20/2015 2:08 9/20/2015 1:14 9/20/2015 1:07 9/20/2015 0:41 9/19/2015 22:39 9/19/2015 20:10 9/19/2015 19:54 9/19/2015 19:49 9/19/2015 18:22 9/19/2015 17:04 9/19/2015 15:50 9/19/2015 15:38 9/19/2015 12:54 9/19/2015 11:41 9/19/2015 6:39 9/19/2015 2:20 9/19/2015 0:17 9/18/2015 23:36 9/18/2015 22:18 9/18/2015 19:56 9/18/2015 19:28 9/18/2015 19:07 9/18/2015 19:06 9/18/2015 17:28 9/18/2015 17:09 9/18/2015 14:35 9/18/2015 14:11 9/18/2015 13:20 9/18/2015 13:01 9/18/2015 9:18 9/18/2015 2:02 9/18/2015 2:01 9/18/2015 1:32 9/18/2015 1:02 9/17/2015 23:45 9/17/2015 23:34 9/17/2015 21:54 9/17/2015 21:09 9/17/2015 21:07 9/17/2015 19:26 9/17/2015 19:03 9/17/2015 18:55 9/17/2015 18:30 9/17/2015 18:25 9/17/2015 18:05 9/17/2015 17:52 9/17/2015 17:48 9/17/2015 17:02 9/17/2015 16:50 9/17/2015 16:48 9/17/2015 15:24 9/17/2015 14:45 9/17/2015 14:19 9/17/2015 13:58 9/17/2015 13:16 9/17/2015 5:51 9/17/2015 5:15 9/17/2015 3:28 9/17/2015 1:39 9/17/2015 1:30 9/16/2015 23:02 9/16/2015 21:28 9/16/2015 21:27 9/16/2015 17:53 9/16/2015 17:33 9/16/2015 17:16 9/16/2015 17:15 9/16/2015 15:49 9/16/2015 15:40 9/16/2015 15:00 9/16/2015 14:06 9/16/2015 13:20 9/16/2015 12:48 9/16/2015 12:30 9/16/2015 9:53 9/16/2015 9:06 9/16/2015 8:20 9/16/2015 7:36 9/16/2015 7:33 9/16/2015 6:06 9/16/2015 5:38 9/15/2015 23:29 9/15/2015 23:01 9/15/2015 22:42 9/15/2015 22:01 9/15/2015 21:47 9/15/2015 19:04 9/15/2015 18:34 9/15/2015 17:52 9/15/2015 17:52 9/15/2015 17:48 9/15/2015 17:23 9/15/2015 17:23 9/15/2015 16:52 9/15/2015 16:31 9/15/2015 16:21 9/15/2015 15:31 9/15/2015 15:24 9/15/2015 12:34 9/15/2015 11:13 9/15/2015 10:51 9/15/2015 5:29 9/15/2015 4:30 9/15/2015 3:23 9/15/2015 2:41 9/15/2015 1:11 9/14/2015 22:17 9/14/2015 22:15 9/14/2015 22:15 9/14/2015 21:18 9/14/2015 21:08 9/14/2015 20:31 9/14/2015 19:38 9/14/2015 19:07 9/14/2015 18:01 9/14/2015 17:00 9/14/2015 14:34 9/14/2015 6:42 9/14/2015 4:31 9/14/2015 4:09 9/14/2015 2:09 9/14/2015 1:42 9/14/2015 0:06 9/13/2015 21:06 9/13/2015 20:23 9/13/2015 19:28 9/13/2015 19:08 9/13/2015 17:46 9/13/2015 17:44 9/13/2015 14:51 9/13/2015 13:31 9/13/2015 12:16 9/13/2015 11:25 9/13/2015 10:21 9/13/2015 8:12 9/13/2015 6:38 9/13/2015 6:08 9/13/2015 6:05 9/13/2015 4:38 9/13/2015 0:33 9/12/2015 22:26 9/12/2015 20:16 9/12/2015 19:27 9/12/2015 18:44 9/12/2015 17:21 9/12/2015 15:22 9/12/2015 15:07 9/12/2015 15:02 9/12/2015 13:40 9/12/2015 13:24 9/12/2015 13:22 9/12/2015 13:20 9/12/2015 12:10 9/12/2015 6:49 9/12/2015 5:50 9/12/2015 5:38 9/12/2015 3:44 9/12/2015 3:21 9/12/2015 3:18 9/12/2015 1:43 9/12/2015 1:21 9/11/2015 23:01 9/11/2015 22:39 9/11/2015 22:26 9/11/2015 21:47 9/11/2015 21:37 9/11/2015 20:31 9/11/2015 19:13 9/11/2015 17:31 9/11/2015 16:56 9/11/2015 16:54 9/11/2015 16:50 9/11/2015 15:25 9/11/2015 15:03 9/11/2015 14:42 9/11/2015 12:42 9/11/2015 12:17 9/11/2015 11:41 9/11/2015 10:42 9/11/2015 9:54 9/11/2015 8:46 9/11/2015 7:27 9/11/2015 6:45 9/11/2015 4:44 9/11/2015 4:10 9/11/2015 3:52 9/11/2015 3:51 9/11/2015 1:39 9/11/2015 0:49 9/11/2015 0:07 9/10/2015 19:37 9/10/2015 19:00 9/10/2015 18:17 9/10/2015 16:31 9/10/2015 15:36 9/10/2015 14:51 9/10/2015 14:23 9/10/2015 14:22 9/10/2015 14:20 9/10/2015 14:09 9/10/2015 11:25 9/10/2015 8:32 9/10/2015 8:29 9/10/2015 7:32 9/10/2015 7:07 9/10/2015 6:42 9/10/2015 1:17 9/9/2015 22:05 9/9/2015 20:59 9/9/2015 20:54 9/9/2015 19:30 9/9/2015 18:53 9/9/2015 18:12 9/9/2015 17:56 9/9/2015 17:30 9/9/2015 16:51 9/9/2015 15:17 9/9/2015 15:16 9/9/2015 15:08 9/9/2015 12:52 9/9/2015 12:32 9/9/2015 12:27 9/9/2015 12:11 9/9/2015 12:05 9/9/2015 11:26 9/9/2015 7:39 9/9/2015 6:40 9/9/2015 6:39 9/9/2015 6:29 9/9/2015 6:24 9/9/2015 5:44 9/9/2015 5:39 9/9/2015 2:19 9/9/2015 1:21 9/8/2015 21:39 9/8/2015 21:36 9/8/2015 20:35 9/8/2015 20:19 9/8/2015 20:12 9/8/2015 19:33 9/8/2015 19:21 9/8/2015 18:21 9/8/2015 17:30 9/8/2015 17:15 9/8/2015 17:10 9/8/2015 14:04 9/8/2015 13:35 9/8/2015 7:58 9/8/2015 6:38 9/8/2015 6:09 9/8/2015 4:41 9/8/2015 4:07 9/8/2015 3:24 9/7/2015 21:08 9/7/2015 20:32 9/7/2015 19:56 9/7/2015 19:54 9/7/2015 19:31 9/7/2015 18:20 9/7/2015 16:16 9/7/2015 16:06 9/7/2015 14:54 9/7/2015 13:37 9/7/2015 13:12 9/7/2015 10:42 9/7/2015 9:32 9/7/2015 8:42 9/7/2015 4:21 9/7/2015 3:21 9/7/2015 2:50 9/7/2015 1:20 9/6/2015 20:55 9/6/2015 17:35 9/6/2015 17:30 9/6/2015 17:22 9/6/2015 16:39 9/6/2015 15:24 9/6/2015 15:09 9/6/2015 14:53 9/6/2015 13:01 9/6/2015 12:17 9/6/2015 11:27 9/6/2015 10:52 9/6/2015 10:46 9/6/2015 9:36 9/6/2015 6:02
date_format = "%m/%d/%Y %H:%M"
for row in ask_posts:
ask_date = row[6]
ask_date = dt.datetime.strptime(ask_date, date_format)
print(ask_date)
2016-09-26 02:53:00 2016-09-26 01:17:00 2016-09-25 22:57:00 2016-09-25 22:48:00 2016-09-25 21:50:00 2016-09-25 19:30:00 2016-09-25 19:22:00 2016-09-25 17:55:00 2016-09-25 15:48:00 2016-09-25 15:35:00 2016-09-25 15:28:00 2016-09-25 14:43:00 2016-09-25 14:17:00 2016-09-25 13:08:00 2016-09-25 11:27:00 2016-09-25 10:51:00 2016-09-25 10:47:00 2016-09-25 09:04:00 2016-09-25 07:09:00 2016-09-25 03:00:00 2016-09-24 23:04:00 2016-09-24 22:02:00 2016-09-24 21:18:00 2016-09-24 20:58:00 2016-09-24 19:57:00 2016-09-24 19:02:00 2016-09-24 17:55:00 2016-09-24 17:27:00 2016-09-24 16:50:00 2016-09-24 16:03:00 2016-09-24 15:29:00 2016-09-24 14:03:00 2016-09-24 10:10:00 2016-09-24 08:46:00 2016-09-24 08:39:00 2016-09-24 08:38:00 2016-09-24 08:28:00 2016-09-24 03:36:00 2016-09-24 00:21:00 2016-09-23 23:38:00 2016-09-23 23:35:00 2016-09-23 22:13:00 2016-09-23 20:58:00 2016-09-23 20:42:00 2016-09-23 20:23:00 2016-09-23 20:18:00 2016-09-23 19:33:00 2016-09-23 19:32:00 2016-09-23 18:56:00 2016-09-23 18:53:00 2016-09-23 17:45:00 2016-09-23 17:35:00 2016-09-23 17:28:00 2016-09-23 16:56:00 2016-09-23 16:14:00 2016-09-23 12:39:00 2016-09-23 09:58:00 2016-09-23 04:47:00 2016-09-23 02:28:00 2016-09-23 01:56:00 2016-09-23 01:24:00 2016-09-23 01:23:00 2016-09-23 00:58:00 2016-09-23 00:11:00 2016-09-22 21:45:00 2016-09-22 21:19:00 2016-09-22 19:58:00 2016-09-22 19:42:00 2016-09-22 19:40:00 2016-09-22 19:18:00 2016-09-22 18:16:00 2016-09-22 17:43:00 2016-09-22 17:38:00 2016-09-22 17:27:00 2016-09-22 17:27:00 2016-09-22 17:05:00 2016-09-22 16:34:00 2016-09-22 15:44:00 2016-09-22 15:18:00 2016-09-22 15:18:00 2016-09-22 14:49:00 2016-09-22 13:11:00 2016-09-22 12:58:00 2016-09-22 12:55:00 2016-09-22 12:50:00 2016-09-22 11:52:00 2016-09-22 06:25:00 2016-09-22 06:19:00 2016-09-22 05:03:00 2016-09-22 04:55:00 2016-09-22 00:47:00 2016-09-21 23:37:00 2016-09-21 23:03:00 2016-09-21 21:14:00 2016-09-21 20:53:00 2016-09-21 20:35:00 2016-09-21 20:33:00 2016-09-21 19:30:00 2016-09-21 19:18:00 2016-09-21 18:39:00 2016-09-21 18:11:00 2016-09-21 17:56:00 2016-09-21 17:46:00 2016-09-21 17:36:00 2016-09-21 17:24:00 2016-09-21 14:50:00 2016-09-21 14:35:00 2016-09-21 13:49:00 2016-09-21 13:42:00 2016-09-21 12:24:00 2016-09-21 12:17:00 2016-09-21 12:00:00 2016-09-21 11:28:00 2016-09-21 10:41:00 2016-09-21 09:49:00 2016-09-21 08:26:00 2016-09-21 08:16:00 2016-09-21 07:12:00 2016-09-21 05:27:00 2016-09-21 04:58:00 2016-09-21 04:02:00 2016-09-21 02:45:00 2016-09-21 02:36:00 2016-09-21 00:38:00 2016-09-21 00:31:00 2016-09-20 23:20:00 2016-09-20 22:48:00 2016-09-20 21:41:00 2016-09-20 21:07:00 2016-09-20 21:00:00 2016-09-20 20:37:00 2016-09-20 19:39:00 2016-09-20 19:20:00 2016-09-20 18:45:00 2016-09-20 18:37:00 2016-09-20 18:30:00 2016-09-20 18:20:00 2016-09-20 17:41:00 2016-09-20 17:32:00 2016-09-20 16:35:00 2016-09-20 16:17:00 2016-09-20 16:08:00 2016-09-20 15:30:00 2016-09-20 14:54:00 2016-09-20 14:42:00 2016-09-20 14:22:00 2016-09-20 14:21:00 2016-09-20 12:11:00 2016-09-20 12:09:00 2016-09-20 11:29:00 2016-09-20 11:23:00 2016-09-20 11:02:00 2016-09-20 08:32:00 2016-09-20 08:03:00 2016-09-20 07:20:00 2016-09-20 06:43:00 2016-09-20 06:04:00 2016-09-20 05:13:00 2016-09-20 05:07:00 2016-09-19 23:55:00 2016-09-19 23:31:00 2016-09-19 22:50:00 2016-09-19 21:48:00 2016-09-19 21:42:00 2016-09-19 21:19:00 2016-09-19 19:57:00 2016-09-19 19:40:00 2016-09-19 19:21:00 2016-09-19 19:04:00 2016-09-19 18:55:00 2016-09-19 18:51:00 2016-09-19 18:28:00 2016-09-19 18:23:00 2016-09-19 18:16:00 2016-09-19 16:40:00 2016-09-19 16:04:00 2016-09-19 15:57:00 2016-09-19 15:54:00 2016-09-19 15:51:00 2016-09-19 15:31:00 2016-09-19 15:15:00 2016-09-19 14:43:00 2016-09-19 14:36:00 2016-09-19 14:21:00 2016-09-19 13:40:00 2016-09-19 12:54:00 2016-09-19 09:45:00 2016-09-19 09:42:00 2016-09-19 08:31:00 2016-09-19 07:44:00 2016-09-19 06:06:00 2016-09-19 02:07:00 2016-09-19 00:16:00 2016-09-18 23:05:00 2016-09-18 18:35:00 2016-09-18 18:33:00 2016-09-18 17:30:00 2016-09-18 17:28:00 2016-09-18 16:24:00 2016-09-18 16:05:00 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2015-09-12 15:02:00 2015-09-12 13:40:00 2015-09-12 13:24:00 2015-09-12 13:22:00 2015-09-12 13:20:00 2015-09-12 12:10:00 2015-09-12 06:49:00 2015-09-12 05:50:00 2015-09-12 05:38:00 2015-09-12 03:44:00 2015-09-12 03:21:00 2015-09-12 03:18:00 2015-09-12 01:43:00 2015-09-12 01:21:00 2015-09-11 23:01:00 2015-09-11 22:39:00 2015-09-11 22:26:00 2015-09-11 21:47:00 2015-09-11 21:37:00 2015-09-11 20:31:00 2015-09-11 19:13:00 2015-09-11 17:31:00 2015-09-11 16:56:00 2015-09-11 16:54:00 2015-09-11 16:50:00 2015-09-11 15:25:00 2015-09-11 15:03:00 2015-09-11 14:42:00 2015-09-11 12:42:00 2015-09-11 12:17:00 2015-09-11 11:41:00 2015-09-11 10:42:00 2015-09-11 09:54:00 2015-09-11 08:46:00 2015-09-11 07:27:00 2015-09-11 06:45:00 2015-09-11 04:44:00 2015-09-11 04:10:00 2015-09-11 03:52:00 2015-09-11 03:51:00 2015-09-11 01:39:00 2015-09-11 00:49:00 2015-09-11 00:07:00 2015-09-10 19:37:00 2015-09-10 19:00:00 2015-09-10 18:17:00 2015-09-10 16:31:00 2015-09-10 15:36:00 2015-09-10 14:51:00 2015-09-10 14:23:00 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ask_posts
by number of times posted on the forum.¶Within a community there is always a group of people who Users who have written a larger number of posts. ( by Volume )
Let's see who are those who have written in Ask post
as those who have done it in Show post
def most_relevant_authors(kind_of_post):
author = {}
sort_dict = []
for row in kind_of_post:
who = row[5]
if who in author:
author[who] +=1
else:
author[who] = 1
for (key,value) in author.items():
sort_dict.append((value, key))
return sorted(sort_dict, reverse = True)
most_relevant_authors(ask_posts)
[(70, 'hoodoof'), (48, 'tmaly'), (41, 'tixocloud'), (37, 'a_lifters_life'), (36, 'whoishiring'), (31, 'sharemywin'), (31, 'philippnagel'), (27, 'chirau'), (26, 'rayalez'), (23, 'hanniabu'), (23, 'baccheion'), (22, 'kevindeasis'), (22, 'eecks'), (20, 'cdvonstinkpot'), (19, 'selmat'), (19, 'max_'), (19, 'karimdag'), (19, 'hellofunk'), (18, 'pedrodelfino'), (18, 'networked'), (18, 'codegeek'), (18, 'J-dawg'), (17, 'andrewfromx'), (16, 'prmph'), (16, 'avindroth'), (16, 'aryamaan'), (16, 'adzeds'), (15, 'vijayr'), (15, 'tuyguntn'), (15, 'tech_crawl_'), (15, 'soulbadguy'), (15, 'fratlas'), (15, 'alistproducer2'), (15, 'acidfreaks'), (14, 'wkoszek'), (14, 'nullundefined'), (14, 'jason_slack'), (14, 'Onixelen'), (13, 'user321'), (13, 'techaddict009'), (13, 'simonebrunozzi'), (13, 'christopherDam'), (12, 'kiloreux'), (12, 'holaboyperu'), (12, 'bikamonki'), (12, 'audace'), (11, 'vonklaus'), (11, 'samblr'), (11, 'ryanlm'), (11, 'forgottenacc56'), (11, 'ffggvv'), (11, 'conqrr'), (10, 'wsieroci'), 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show_posts
¶most_relevant_authors(show_posts)
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'thirtywatt'), (2, 'thewarrior'), (2, 'thesubroot'), (2, 'thepythonguy'), (2, 'theoneone'), (2, 'theocs'), (2, 'theflagbug'), (2, 'thedrooling'), (2, 'thecuriousone'), (2, 'thecoffeebean'), (2, 'thecaddy1'), (2, 'thabraze'), (2, 'tgoldberg'), (2, 'terhechte'), (2, 'teh_cmc'), (2, 'teer'), (2, 'tedkimble'), (2, 'technel'), (2, 'tdeck'), (2, 'tazer'), (2, 'tarikozket'), (2, 'tacticiankerala'), (2, 'syrusakbary'), (2, 'swamplander'), (2, 'svirelka'), (2, 'suyash93'), (2, 'sur04sep'), (2, 'stugrey'), (2, 'stormen'), (2, 'steven777400'), (2, 'stevelamont'), (2, 'steren'), (2, 'stenver'), (2, 'startlaunch'), (2, 'starlineventure'), (2, 'stared'), (2, 'stanislavb'), (2, 'stagename'), (2, 'ssanderson11235'), (2, 'srpeck'), (2, 'srikieonline'), (2, 'squiguy7'), (2, 'squidfunk'), (2, 'sperling75'), (2, 'spenceryang'), (2, 'spdustin'), (2, 'spartanik'), (2, 'soneca'), (2, 'someguy1233'), (2, 'some1else'), (2, 'solyaris'), (2, 'solusipse'), (2, 'solson'), (2, 'solkimicreb'), (2, 'solidsnack9000'), (2, 'softdev12'), (2, 'sofijka'), (2, 'sochix'), (2, 'snitko'), (2, 'smithgeek'), (2, 'smalchev'), (2, 'sleepychu'), (2, 'slakr'), (2, 'slaask'), (2, 'skyfantom'), (2, 'skilldrick'), (2, 'skewedlines'), (2, 'sixhobbits'), (2, 'siscia'), (2, 'simonhamp'), (2, 'simon_weber'), (2, 'sihaelov'), (2, 'siderly'), (2, 'sidcool'), (2, 'shutton'), (2, 'shpx'), (2, 'shiny'), (2, 'shenanigan'), (2, 'shakedown'), (2, 'seyz'), (2, 'sendos'), (2, 'selbyk'), (2, 'sebcode'), (2, 'sdybskiy'), (2, 'sdogruyol'), (2, 'sdaityari'), (2, 'scwoodal'), (2, 'scrollaway'), (2, 'scott_b'), (2, 'scolvin'), (2, 'schwag09'), (2, 'saturngirl'), (2, 'sarim'), (2, 'sarahhh'), (2, 'sandman83'), (2, 'samuelcouch'), (2, 'samsnelling'), (2, 'sameerpeace'), (2, 'saghm'), (2, 'sagatsnee'), (2, 's3nnyy'), (2, 'ryanfox'), (2, 'rwilinski'), (2, 'rusbus'), (2, 'runemadsen'), (2, 'rukshn'), (2, 'ruiramos'), (2, 'rudedogg'), (2, 'ruanyf'), (2, 'rsync'), (2, 'rossf7'), (2, 'roschdal'), (2, 'rook2pawn'), (2, 'rompic'), (2, 'romaincointepas'), (2, 'rohitpawar'), (2, 'robinwarren'), (2, 'risq'), (2, 'rickieangello'), (2, 'richardknop'), (2, 'richardkall'), (2, 'rhys91'), (2, 'rhardih'), (2, 'rgcr'), (2, 'rfjakob'), (2, 'rememberlenny'), (2, 'reimertz'), (2, 'reddytowns'), (2, 'redbluething'), (2, 'recmend'), (2, 'real-hacker'), (2, 'reach_kapil'), (2, 'rcorcs'), (2, 'rchodava'), (2, 'rbolte'), (2, 'rane'), (2, 'randall'), (2, 'raknair07'), (2, 'quanglam2807'), (2, 'qboxio'), (2, 'pw'), (2, 'pvtmert'), (2, 'purpleidea'), (2, 'prooxod'), (2, 'projproj'), (2, 'princejwesley'), (2, 'primitivesuave'), (2, 'primaryobjects'), (2, 'pravj'), (2, 'pprogrammer'), (2, 'ppati000'), (2, 'pneumaio'), (2, 'pmcpinto'), (2, 'pmalynin'), (2, 'plehoux'), (2, 'pjsullivan3'), (2, 'pjdorrell'), (2, 'pjbrow'), (2, 'pixelglow'), (2, 'pimterry'), (2, 'piercey4'), (2, 'piascikj'), (2, 'phmarques'), (2, 'pheelicks'), (2, 'phazelift'), (2, 'pharzan'), (2, 'pharkle'), (2, 'pgilad'), (2, 'petrosianii'), (2, 'petermolyneux'), (2, 'peterhartree'), (2, 'petejayhuang'), (2, 'pedrorijo91'), (2, 'pedro93'), (2, 'pcarleton'), (2, 'pavanb'), (2, 'paulstraw'), (2, 'paulo-tanaka'), (2, 'parro-it'), (2, 'parenteeno'), (2, 'paraschopra'), (2, 'palmdeezy'), (2, 'palidanx'), (2, 'palguay'), (2, 'p_red'), (2, 'p0larboy'), (2, 'own3r'), (2, 'owenfar'), (2, 'overcast'), (2, 'otymartin'), (2, 'osmode'), (2, 'orthecreedence'), (2, 'ola'), (2, 'ohsik'), (2, 'occupy_paul_st'), (2, 'nyddle'), (2, 'nucleic'), (2, 'nsgi'), ...]
In order not to extend too much we will stay with the first 3 in Ask_post
since the difference between the second and the third is not only 7 points.
- hoodoof
- tmaly
- tixocloud
And we will do the same in Show_post
however here the difference is not so much between one score and another, just 3 of difference.
- bdehaaff
- soheil
- brakmic
Ordered in such a way that the first one is the one who has made the most post.
Now that we know who are the people who write the most, let's see what score they gave them, when they wrote it and what the title is.
def all_activity_post(name, posts):
time = 0
num_points = 0
post_published = {}
print("Score Date Post ")
for row in posts:
if row[5] == name:
time +=1
num_points = int(row[3])
tittle = row[1]
time_format = '%Y/%m/%d'
ask_date = row[6]
ask_date = dt.datetime.strptime(ask_date, date_format)
date_object = ask_date.strftime(time_format)
post_published = "{points} -- " "{date} " " {tittle},".format(tittle = row[1],
date = date_object, points = row[3] )
print(post_published)
total_number_post = "Total number of post = {n_post}".format(n_post = time)
print("\n")
print(total_number_post)
Ask_posts
¶all_activity_post('hoodoof', ask_posts)
Score Date Post 1 -- 2016/09/13 Ask HN: Could war be avoided by nuclear scientists defecting from North Korea?, 9 -- 2016/09/07 Ask HN: Should being a conference speaker expose your reputation to destruction?, 1 -- 2016/09/07 Ask HN: What are the coolest remakes of retro computing devices?, 2 -- 2016/09/04 Ask HN: Why should open source support be free? I don't think it should., 1 -- 2016/08/31 Ask HN: Did you know that searching Facebook reveals your identity?, 2 -- 2016/08/30 Ask HN: How would you handle an E.T. signal with a 95 year latency?, 4 -- 2016/08/22 Ask HN: So you release your new site. How do you know it's not wide open?, 14 -- 2016/08/12 Ask HN: What amazing successes started with a Show HN?, 3 -- 2016/08/11 Ask HN: Why not put onus on AdBlocker to prevent terms of service violations?, 2 -- 2016/08/10 Ask HN: Software community requests your product be open source.. thoughts?, 3 -- 2016/08/10 Ask HN: Please help with my product naming funky or descriptive name?, 1 -- 2016/08/09 Ask HN: When you are programming, do you go the extra 10%?, 1 -- 2016/08/05 Ask HN: How can I get true information about snowfall for skiing?, 3 -- 2016/07/31 Ask HN: I got a ransom request threatening DOS attack. What to do?, 2 -- 2016/07/13 Ask HN: Presumably you are now cloning Pokemon Go with a twist?, 3 -- 2016/07/10 Ask HN: Imagine it's 1993 what would you put in an MVP web browser?, 2 -- 2016/07/08 Ask HN: $95,000 .cloud domain names has the world gone crazy?, 5 -- 2016/07/05 Ask HN: Do you have to write lots of complex code before you can simplify it?, 20 -- 2016/07/03 Ask HN: Would elite video gamers, given training, be the best military pilots?, 28 -- 2016/06/22 Ask HN: Given the cost of living, why would a developer live in Silicon Valley?, 11 -- 2016/06/03 Ask HN: Is there an up-to-date global index of conferences?, 9 -- 2016/06/02 Ask HN: Are you planning to be someone different in the future?, 10 -- 2016/05/29 Ask HN: What do you strive for when you are programming?, 3 -- 2016/05/24 Ask HN: Where can I find a list of hosts that implement OpenStack?, 1 -- 2016/05/20 Ask HN: Are you building something? How long for? How much longer to go?, 11 -- 2016/05/19 Ask HN: How are you feeling about your future as a senior developer?, 10 -- 2016/05/16 Ask HN: If you could restart your current project, what would you do different?, 1 -- 2016/05/04 Ask HN: Why does Etsy have so many items titled DO Not PURCHASE?, 2 -- 2016/04/23 Ask HN: What would TV cop drama be about if drugs were legal?, 1 -- 2016/04/22 Ask HN: Is it practical to be a programmer who cannot read/write English?, 5 -- 2016/04/19 Ask HN: Do all websites look the same these days?, 1 -- 2016/04/17 Ask HN: What is a wise and appropriate U.S. response to Russian provocations?, 1 -- 2016/04/16 Ask HN: Are big tech companies donating enough to politicians?, 9 -- 2016/04/12 Ask HN: What's it like working at a cannabis tech startup company?, 4 -- 2016/04/12 Ask HN: Startups, are you choosing to apply via Apply HN?, 7 -- 2016/04/11 Ask HN: Have you sat in on acquisition discussions? How to ask for a billion $?, 9 -- 2016/04/08 Ask HN: What are examples of great product intro videos?, 2 -- 2016/04/08 Ask HN: What is the most money a bootstrapped, one-person company has sold for?, 4 -- 2016/04/07 Ask HN: Why is it still not possible to search an S3 bucket?, 1 -- 2016/04/04 Ask HN: What is the state of the art in virtual doctors?, 1 -- 2016/03/29 Ask HN: Are software developers respected more than other jobs at your company?, 4 -- 2016/03/26 Ask HN: With all our software built on so many dependencies, is anything secure?, 1 -- 2016/03/24 Ask HN: Is Apple Sneering at Virtual Reality?, 4 -- 2016/03/22 Ask HN: Why do criminals rob banks and not millionaires?, 1 -- 2016/03/21 Ask HN: Is it possible Facebook might build a console to power the Oculus VR?, 1 -- 2016/03/08 Ask HN: Can programming languages unify at all?, 2 -- 2016/03/04 Ask HN: How practical would it be to steal the source code of a ReactJS app?, 2 -- 2016/03/02 Ask HN: New startup, what social account names should I secure early?, 2 -- 2016/02/28 Ask HN: Could voice commands make programming easier?, 5 -- 2016/02/27 Ask HN: Should I offer a security bug bounty for my SAAS app?, 3 -- 2016/02/26 Ask HN: Someone is stealing things from my car. What security camera would help?, 10 -- 2016/02/26 Ask HN: So Marissa failed to revive Yahoo what would YOU have done different?, 1 -- 2016/02/13 Ask HN: First to market or testing, which do you choose?, 1 -- 2016/02/12 Ask HN: When am I allowed to use other company logos in my product?, 2 -- 2016/02/04 Ask HN: Should YC provide marriage counsellors to its portfolio founders?, 2 -- 2016/01/13 Ask HN: Which SASS companies have publicly published their sales data?, 3 -- 2016/01/11 Ask HN: Can anyone suggest a good RSS newsreader with a set of tech news feeds?, 5 -- 2016/01/09 Ask HN: Does anyone else have the sense that the good bit is over?, 1 -- 2015/12/30 Ask HN: Have drones made infantry obsolete?, 3 -- 2015/12/30 Ask HN: What's the most interesting new startups from the past 12 months or so?, 22 -- 2015/12/28 Ask HN: Are you programming on your holidays?, 4 -- 2015/12/08 Ask HN: What business/tech inspires you? what excites you?, 3 -- 2015/12/03 Ask HN: Can anyone suggest great examples of continuation passing in JavaScript?, 2 -- 2015/11/23 Ask HN: Is there a UI / widget library purely built using Flexbox?, 1 -- 2015/11/22 Ask HN: Is there a case for UI / layout libraries that ditch the past?, 1 -- 2015/11/16 Ask HN: What happened to the old mainframes? Were many preserved?, 9 -- 2015/11/15 Ask HN: Should I charge the military more to use my SAAS?, 6 -- 2015/10/03 Ask HN: Are alternative search engines good enough for me to replace Google?, 12 -- 2015/09/28 Ask HN: Does becoming rich make you a target for criminals?, 1 -- 2015/09/13 Ask HN: What cloud companies offer free compute resources to startups?, Total number of post = 70
all_activity_post('tmaly', ask_posts)
Score Date Post 1 -- 2016/09/20 Ask HN: Suggestions for email provider separate from vps, 19 -- 2016/09/14 Ask HN: What are your favorite sayings?, 1 -- 2016/09/02 Ask HN: How do you optimize your time for side projects?, 2 -- 2016/08/31 Ask HN: Best trick for your side project?, 3 -- 2016/08/27 Ask HN: Accuracy of ip to geo location?, 1 -- 2016/08/25 Ask HN: Bandit algorithms and metrics?, 2 -- 2016/08/23 Ask HN: Your favorite email app, 2 -- 2016/08/05 Ask HN: What is your favorite audio book?, 2 -- 2016/08/03 Ask HN: Best audio books for road trips?, 1 -- 2016/07/12 Ask HN: How does Amazon choose prime deals?, 1 -- 2016/06/22 Ask HN: Operational complexity of micro services?, 3 -- 2016/06/07 Ask HN: How to teach a 20 yo Marine how to code?, 1 -- 2016/06/06 Ask HN: Collaborative RSS?, 2 -- 2016/05/17 Ask HN: What is your favorite podcast episode?, 1 -- 2016/05/02 Ask HN: What SASS framework do you use?, 1 -- 2016/04/27 Ask HN: Routines before coding in the morning?, 2 -- 2016/04/15 Ask HN: Is there an HN like site for designers?, 1 -- 2016/04/14 Ask HN: What is your favorite Go Hugo Theme?, 2 -- 2016/04/01 Ask HN: Best April Fools joke 2016, 2 -- 2016/03/29 Ask HN: Best use case writeups of SOA?, 1 -- 2016/03/23 Ask HN: Do any VPS at sub $5/month exist?, 1 -- 2016/03/21 Ask HN: Best example of a written guide on website?, 12 -- 2016/03/21 Ask HN: How do you find unused CSS?, 1 -- 2016/03/14 Ask HN: Content structure and BrainRank?, 1 -- 2016/03/11 Ask HN: Bootstrap without JQuery on CDN, 4 -- 2016/03/10 Ask HN: Converting Wordpress themes to Go templates?, 1 -- 2016/03/09 Ask HN: Movie trailer intro service?, 2 -- 2016/03/01 Ask HN: Fastest way to setup secure VPS instance?, 4 -- 2016/02/24 Ask HN: Best web framework for http2?, 1 -- 2016/02/18 Ask HN: Analyze web page appearence automatically?, 2 -- 2016/02/14 Ask HN: Weather site negative temps, 2 -- 2016/01/29 Ask HN: DOCX to Markdown and Markdown to DOCX, 2 -- 2016/01/15 Ask HN: Website Obesity Crisis, 1 -- 2016/01/13 Ask HN: Custom clothing from picture direct to consumer?, 6 -- 2016/01/13 Ask HN: How do you choose powerball numbers if you play?, 8 -- 2016/01/12 Ask HN: Online learning, 1 -- 2016/01/07 Ask HN: Life hacker ideas for learning for young children, 4 -- 2015/12/28 Ask HN: Manual daily task that takes = 5 minutes, 3 -- 2015/12/28 Ask HN: Arduino or Raspberry PI for teenager?, 2 -- 2015/10/30 Ask HN: Feedback on design?, 1 -- 2015/10/26 Ask HN: Algorithm for Scheduling appointments by location, 2 -- 2015/10/20 Ask HN: Wireless HDMI for Macbook to TV, 1 -- 2015/10/20 Ask HN: Super resolution from single image, 1 -- 2015/10/08 Ask HN: US Congress and machine learning, 1 -- 2015/10/06 Ask HN: Alternatives to RequireJS for client side, 3 -- 2015/09/23 Ask HN: Laptop bag for 15 Macbook Pro for inclement weather, 1 -- 2015/09/21 Ask HN: Small responsive css framework with scss/sass, 2 -- 2015/09/15 Ask HN: I own nextlesson.com what should I make with it?, Total number of post = 48
all_activity_post('tixocloud', ask_posts)
Score Date Post 3 -- 2016/06/23 Ask HN: Starting my own customer analytics consultancy?, 1 -- 2016/06/15 Ask HN: Protecting database information?, 55 -- 2016/06/15 Ask HN: How to learn machine learning on my own?, 8 -- 2016/06/08 Ask HN: Would you use an app to keep track of all your relationships?, 2 -- 2016/06/08 Ask HN: Consultants, how do you keep track of your clients?, 1 -- 2016/06/01 Ask HN: Looking for co-founder in Toronto, 2 -- 2016/05/27 Ask HN: Any financial advisors on HN?, 4 -- 2016/05/27 Ask HN: Would you use an automated contact management system?, 1 -- 2016/05/25 Ask HN: What are you struggling with the most at your job?, 1 -- 2016/05/25 Ask HN: Sales/BD folks, do you use any location analysis tools?, 1 -- 2016/05/12 Ask HN: Looking for beta testers for marketing software, 1 -- 2016/05/11 Ask HN: Beta testers wanted for marketing automation software, 1 -- 2016/04/14 Ask HN: Single or part-time entrepreneurs?, 2 -- 2016/04/11 Ask HN: Web analytics in MongoDB?, 4 -- 2016/03/01 Ask HN: Any startup bootstrappers on here?, 1 -- 2016/02/29 Ask HN: Feedback on our landing page Connectomo, 1 -- 2016/02/03 Ask HN: How do you find early adopters?, 3 -- 2016/02/03 Ask HN: Using Google Analytics to provide web analytics to customers?, 1 -- 2016/02/02 Ask HN: Anyone from Malaysia on HN?, 2 -- 2016/01/29 Ask HN: Anyone uses Shopify or any other e-commerce platform?, 2 -- 2016/01/28 Ask HN: Startups, what email marketing software do you use?, 2 -- 2016/01/27 Ask HN: Any Tech Events/meetups in Kuala Lumpur, Malaysia?, 2 -- 2016/01/25 Ask HN: How do you pre-sell Saas subscriptions?, 2 -- 2016/01/25 Ask HN: Do you organize conferences?, 1 -- 2016/01/22 Ask HN: As a startup, which email marketing software do you use and why?, 3 -- 2016/01/15 Ask HN: What's your favourite CRM/Marketing Automation system and why?, 1 -- 2016/01/14 Ask HN: Job that helps take startups to market?, 20 -- 2016/01/12 Ask HN: What software would you pay for right now?, 1 -- 2016/01/08 Ask HN: How do you organize your folders?, 5 -- 2016/01/07 Ask HN: Anyone interested in starting an IT consultancy?, 1 -- 2016/01/05 Ask HN: Have you extracted data from one Excel template to another?, 2 -- 2015/12/17 Ask HN: Anyone know a tool for shaping data in Excel?, 3 -- 2015/12/16 Ask HN: Demand for analytics consulting for startups, 1 -- 2015/12/11 Ask HN: Do you outsource your content marketing?, 2 -- 2015/11/25 Ask HN: How to get beta users/early adopters for online real estate marketplace?, 6 -- 2015/11/09 Ask HN: How do I start an analytics consulting company?, 3 -- 2015/10/30 Ask HN: Anyone has experience building a marketplace startup?, 1 -- 2015/10/26 Ask HN: What do you look for when searching for a house/condo?, 4 -- 2015/10/16 Ask HN: Which is better for SEO?, 3 -- 2015/09/16 Ask HN: How did you land your first B2B customer?, 2 -- 2015/09/16 Ask HN: Anyone interested in a mastermind group?, Total number of post = 41
all_activity_post('bdehaaff', show_posts)
Score Date Post 1 -- 2016/09/21 Show HN: Capacity Planning for Product Managers, 2 -- 2016/09/14 Show HN: Enhanced Google Drive and Dropbox Integrations, 4 -- 2016/09/08 Show HN: Visualize Your Product Hierarchy, 3 -- 2016/08/24 Show HN: Feature Request Tracking by Company Domain, 2 -- 2016/08/18 Show HN: Collaborative Product Strategy, 1 -- 2016/07/27 Show HN: Pivot Table Reporting Tool, 2 -- 2016/07/21 Show HN: Customizable Charts for Strategic Planning, 2 -- 2016/07/12 Show HN: Quickly Create Product Roadmaps with Searchable Filters, 1 -- 2016/07/06 Show HN: Aha.io Integrated with GitHub Enterprise, 1 -- 2016/06/15 Show HN: Send Features Ranked by Priority from Aha to JIRA, 1 -- 2016/05/18 Show HN: JIRA Integration Templates, 3 -- 2016/04/13 Show HN: Easily Track Your Competitors, 1 -- 2016/04/06 Show HN: Custom User Story Cards, 1 -- 2016/03/29 Show HN: Expanded Aha API, 2 -- 2016/03/21 Show HN: Redesigned User Interface, 2 -- 2016/03/09 Show HN: Manage Your Strategic Planning Process, 2 -- 2016/03/02 Show HN: Customized Product Roadmaps, 18 -- 2016/02/24 Show HN: Visual Charting Tool, 1 -- 2016/02/17 Show HN: Link Strategic Goals to Product Releases, 2 -- 2016/02/10 Show HN: Aha and HipChat Integration, 3 -- 2016/01/20 Show HN: Time Frames for Product Goals and Initiatives, 3 -- 2016/01/13 Show HN: Report on How Many Features Your Product Team Shipped, 1 -- 2016/01/06 Show HN: Custom Ideas Portal Using Required Fields, 2 -- 2015/12/29 Show HN: Set Your Business Strategy and Link It to Your Roadmap, 1 -- 2015/12/16 Show HN: Better Feature Prioritization Using the Fibonacci Sequence, 2 -- 2015/12/03 Show HN: Two-Way JIRA Integration with Custom Fields, 2 -- 2015/11/18 Show HN: Easily Create Beautiful Product Roadmaps, 2 -- 2015/11/11 Show HN: Strategic Prioritization Scorecards, 3 -- 2015/11/04 Show HN: Automatic Import from UserVoice to Aha.io, 2 -- 2015/10/28 Show HN: Custom Aha.io Nav Menus, 5 -- 2015/10/21 Show HN: Aha.io Integrated with TFS 2015, 2 -- 2015/10/14 Show HN: New Aha.io and Slack Integration, 2 -- 2015/10/08 Show HN: Aha.io Q3 Product Recap, 4 -- 2015/10/01 Show HN: Collect Customer Ideas with Custom Branded Portal, 2 -- 2015/09/23 Show HN: Easily Build a Theme-Based Strategic Roadmap, 6 -- 2015/09/17 Show HN: Aha.io Business Model Builder, Total number of post = 36
all_activity_post('soheil', show_posts)
Score Date Post 1 -- 2016/08/24 Show HN: NetIn: Build Your Own Team, Get Placed at a Company as a Team, 1 -- 2016/08/22 Show HN: Get a job with your friends, 2 -- 2016/08/22 Show HN: 1) Build Team 2) Interview 3) Offer, 2 -- 2016/08/22 Show HN: Get hired as a team, 4 -- 2016/06/10 Show HN: SSH for EC2, 2 -- 2016/05/28 Show HN: Speech Recognition API and Slack Bot, 2 -- 2016/05/09 Show HN: Speech Recognition API and Slack Bot, 1 -- 2016/03/28 Show HN: Get hired as a team: GodList, 1 -- 2016/03/28 Show HN: Get hired as a team: Work with people you know, 9 -- 2016/03/26 Show HN: GodList, Get hired as a Team, 3 -- 2016/03/24 Show HN: Speech recognition bot for Slack, 2 -- 2016/03/15 Show HN: Quickly look up the old version of an active/down page, 1 -- 2016/03/10 Show HN: A Slack bot that transcribes your conference calls for searching, 2 -- 2016/03/08 Show HN: Style iOS views using CSS-like attributes, 7 -- 2016/03/06 Show HN: Lightweight Twitter for Mac client, 2 -- 2016/02/24 Show HN: Search conf calls with Slack Bot, 3 -- 2016/02/18 Show HN: High Quality Speech to Text API, 4 -- 2016/02/17 Show HN: Fast SSH to EC2, 3 -- 2016/02/17 Show HN: Stripe for speech to text (transcription API), 5 -- 2016/02/13 Show HN: Search your thoughts with a voice journal, 2 -- 2016/02/13 Show HN: Voice recorder and speech recognition, 2 -- 2016/02/11 Show HN: High quality speech recognition, 3 -- 2016/02/04 Show HN: Demo: most accurate speech recognition, 2 -- 2016/02/03 Show HN: Search for voice journals (demo), 3 -- 2016/02/03 Show HN: Search any audio with high accuracy speech engine, 4 -- 2016/02/03 Show HN: Search any audio, 9 -- 2016/01/22 Show HN: Ssh2, Easier EC2 ssh'ing, 3 -- 2015/12/29 Show HN: View an old version of a page instantly, 18 -- 2015/12/29 Show HN: Wayback.co, Easier Wayback Machine, 2 -- 2015/12/21 Show HN: Search live radio by keyword, 1 -- 2015/12/21 Show HN: Loverino, personalized radio, 51 -- 2015/12/06 Show HN: Ssh2, simplifying EC2 ssh'ing, 3 -- 2015/09/21 Show HN: Automatic Transcript Highlighter, Total number of post = 33
all_activity_post('brakmic', show_posts)
Score Date Post 2 -- 2016/08/17 Show HN: Using Redux with PureScript, 2 -- 2016/07/25 Show HN: Transforming my hometown's pages into Web-APIs with full-text search, 5 -- 2016/07/10 Show HN: WebVR with A-Frame and Angular 2, 2 -- 2016/05/21 Show HN: Emojis with Angular 2, 3 -- 2016/05/07 Show HN: Angular2 Playground, 4 -- 2016/04/03 Show HN: Click-Flasher, a simple FPGA design written in VHDL, 1 -- 2016/03/31 Show HN: Unzeef my links, 1 -- 2016/03/23 Show HN: JScripty A Wannabe-REPL for Transpiling ES6 to ES5, 4 -- 2016/03/15 Show HN: Compiling WebAssembly (Binaryen) Under Windows with Visual Studio 2015, 1 -- 2016/03/08 Show HN: Ractive.js Bindings for PureScript, 6 -- 2016/03/06 Show HN: Offline-First WebApps with Hoodie and PureScript, 2 -- 2016/02/29 Show HN: React Client for Deutsche Bahn API (German Railway Corp. API), 21 -- 2016/02/27 Show HN: PouchDB Bindings for PureScript, 3 -- 2016/02/21 Show HN: HPX with C++ and Visual Studio 2015, 2 -- 2016/02/09 Show HN: CarPool, a WebApp based on Inferno.js, 2 -- 2016/02/03 Show HN: Backbone.JS Playground with Marionette.JS, 2 -- 2016/01/28 Show HN: Redux Bindings for PureScript, 3 -- 2016/01/27 Show HN: JSON.stringify (without circular deps) for AngularJS 1.x, 3 -- 2016/01/27 Show HN: JavaScript Components with RactiveJS and AmpersandJS, 4 -- 2016/01/27 Show HN: Twitter-Streaming with Apache Flink, 7 -- 2016/01/26 Show HN: Web Streams with PureScript, 12 -- 2016/01/25 Show HN: RESTful Services with C++, 2 -- 2016/01/25 Show HN: A configurable, colorful, console-based Twitter-Client, 4 -- 2016/01/24 Show HN: Client/Server and Pub/Sub Examples with ZeroMQ and Boost, 52 -- 2016/01/24 Show HN: Character Recognition with OpenCV, 1 -- 2016/01/16 Show HN: Redux Bindings for PureScript, 2 -- 2016/01/10 Show HN: Writing WebComponents with PureScript, 3 -- 2016/01/05 Show HN: Apache Spark 1.6 Release Notes with Examples, 3 -- 2016/01/03 Show HN: RactiveJS-Bindings for PureScript, 42 -- 2016/01/03 Show HN: New MODULA-3 Releases for WinNT, Linux and OS X, Total number of post = 30
We note that not all publications have the same value for the community and we see this reflected in the votes they receive, so it would be interesting to know which of the publications that our users made had more votes and therefore which were the most important issues for the community.
def author_most_valuable_post(name, posts):
num_points = 0
post_published = {}
print("Score Date Post ")
for row in posts:
if row[5] == name:
if num_points < int(row[3]):
num_points = int(row[3])
tittle = row[1]
time_format = '%Y/%m/%d'
ask_date = row[6]
ask_date = dt.datetime.strptime(ask_date, date_format)
date_object = ask_date.strftime(time_format)
post_published.setdefault(num_points,[]).append(num_points)
post_published.setdefault(num_points,[]).append(date_object)
post_published.setdefault(num_points,[]).append(tittle)
for i in reversed(post_published):
print(post_published[i])
Ask_post
¶author_most_valuable_post('hoodoof', ask_posts)
Score Date Post [28, '2016/06/22', 'Ask HN: Given the cost of living, why would a developer live in Silicon Valley?'] [20, '2016/07/03', 'Ask HN: Would elite video gamers, given training, be the best military pilots?'] [14, '2016/08/12', 'Ask HN: What amazing successes started with a Show HN?'] [9, '2016/09/07', 'Ask HN: Should being a conference speaker expose your reputation to destruction?'] [1, '2016/09/13', 'Ask HN: Could war be avoided by nuclear scientists defecting from North Korea?']
author_most_valuable_post('tmaly', ask_posts)
Score Date Post [19, '2016/09/14', 'Ask HN: What are your favorite sayings?'] [1, '2016/09/20', 'Ask HN: Suggestions for email provider separate from vps']
author_most_valuable_post('tixocloud', ask_posts)
Score Date Post [55, '2016/06/15', 'Ask HN: How to learn machine learning on my own?'] [3, '2016/06/23', 'Ask HN: Starting my own customer analytics consultancy?']
Show_post
¶author_most_valuable_post('bdehaaff', show_posts)
Score Date Post [18, '2016/02/24', 'Show HN: Visual Charting Tool'] [4, '2016/09/08', 'Show HN: Visualize Your Product Hierarchy'] [2, '2016/09/14', 'Show HN: Enhanced Google Drive and Dropbox Integrations'] [1, '2016/09/21', 'Show HN: Capacity Planning for Product Managers']
author_most_valuable_post('soheil', show_posts)
Score Date Post [51, '2015/12/06', "Show HN: Ssh2, simplifying EC2 ssh'ing"] [18, '2015/12/29', 'Show HN: Wayback.co, Easier Wayback Machine'] [9, '2016/03/26', 'Show HN: GodList, Get hired as a Team'] [4, '2016/06/10', 'Show HN: SSH for EC2'] [2, '2016/08/22', 'Show HN: 1) Build Team 2) Interview 3) Offer'] [1, '2016/08/24', 'Show HN: NetIn: Build Your Own Team, Get Placed at a Company as a Team']
author_most_valuable_post('brakmic', show_posts)
Score Date Post [52, '2016/01/24', 'Show HN: Character Recognition with OpenCV'] [21, '2016/02/27', 'Show HN: PouchDB Bindings for PureScript'] [6, '2016/03/06', 'Show HN: Offline-First WebApps with Hoodie and PureScript'] [5, '2016/07/10', 'Show HN: WebVR with A-Frame and Angular 2'] [2, '2016/08/17', 'Show HN: Using Redux with PureScript']
Most relevant authors
-- post -- | -- ranking-- | -- authors -- | -- # of post -- | -- Title of most valuable post --- | -- Score -- | -- Date -- |
---|---|---|---|---|---|---|
ask_posts |
1 | hoodoof | 70 | Given the cost of living, why would a developer live in Silicon Valley?' | 28 | 2016/06/22 |
ask_posts |
2 | tmaly | 48 | What are your favorite sayings?'] | 19 | 2016/09/14 |
ask_posts |
3 | tixocloud | 41 | How to learn machine learning on my own?'] | 55 | 2016/06/15 |
show_posts |
1 | bdehaaff | 36 | Visual Charting Tool' | 18 | 2016/02/24 |
show_posts |
2 | soheil | 33 | Ssh2, simplifying EC2 ssh'ing | 51 | '2015/12/06' |
show_posts |
3 | brakmic | 30 | Using Redux with PureScript | 52 | '2016/01/24' |
We can see the users separated by those who asked questions in ask_post
and those who posted in show_show
.
It is striking that there is no correlation between the fact of writing more and having a better valuation (at least in ask_post
) in show_show
it is maintained.
It is also noteworthy that the score received does not correlate with the number of posts they have written.
the dates on which the ask_post
were asked were June and September
While in the show_show
they extend from 2015 to 2016.
We see that users write more questions than shows, however the scores received by those who wrote in show are higher than in ask.
From this we can deduce that this community values sharing information that is useful to the community and types of questions that help its members.