#!/usr/bin/env python
# coding: utf-8

# In[1]:


# To run this notebook as done in the README GIFs, you must first locally download the 2015 NYC Taxi Trip Data.
import urllib.request
url_path = "https://modin-test.s3.us-west-1.amazonaws.com/yellow_tripdata_2015-01.csv"
urllib.request.urlretrieve(url_path, "taxi.csv")

from modin.config import Engine
Engine.put("dask")
from dask.distributed import Client
client = Client(n_workers=12)

from modin.config import BenchmarkMode
BenchmarkMode.put(True)


# In[2]:


import modin.pandas as pd


# In[3]:


get_ipython().run_line_magic('time', 'df = pd.read_csv("taxi.csv", parse_dates=["tpep_pickup_datetime", "tpep_dropoff_datetime"], quoting=3)')


# In[4]:


get_ipython().run_line_magic('time', 'isnull = df.isnull()')


# In[5]:


get_ipython().run_line_magic('time', 'rounded_trip_distance = df[["pickup_longitude"]].applymap(round)')


# In[ ]: