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

# ### Matplotlib tutorial 01

# In[1]:


# import
import matplotlib.pyplot as plt
import numpy as np

get_ipython().run_line_magic('matplotlib', 'inline')


# ** Simple Plot **    
#     By default, matplotlib is plotting line which joins all the points

# In[2]:


X = [1, 2.4, 5, 7, 3.2]

plt.plot(X)
plt.show()


#     We can add different parameters to change the look of charts such as linestyle, linewidth or marker.  
#     Let's check them one by one - 
# 
# ** Adding linestyle **

# In[3]:


X = [1, 2.4, 5, 7, 3.2]

plt.plot(X, linestyle='--') # dashed line
plt.show()


# In[4]:


X = [1, 2.4, 5, 7, 3.2]

plt.plot(X, linestyle='-.') # dashed dot line
plt.show()


# ** Adding linewidth **

# In[5]:


X = [1, 2.4, 5, 7, 3.2]

plt.plot(X, linestyle='--', linewidth=4) # dashed dot line
plt.show()


# ** Adding marker **

# In[6]:


X = [1, 2.4, 5, 7, 3.2]

plt.plot(X, marker='p') # added mark point
plt.show()


# ** line style or marker **
# 
# character  |  description
# -----------|-------------------------
# '-'        |  solid line style
# '--'       |  dashed line style
# '-.'       |  dash-dot line style
# ':'        |  dotted line style
# '.'        |  point marker
# ','        |  pixel marker
# 'o'        |  circle marker
# 'v'        |  triangle_down marker
# '^'        |  triangle_up marker
# '<'        |  triangle_left marker
# '>'        |  triangle_right marker
# '1'        |  tri_down marker
# '2'        |  tri_up marker
# '3'        |  tri_left marker
# '4'        |  tri_right marker
# 's'        |  square marker
# 'p'        |  pentagon marker
# '*'        |  star marker
# 'h'        |  hexagon1 marker
# 'H'        |  hexagon2 marker
# '+'        |  plus marker
# 'x'        |  x marker
# 'D'        |  diamond marker
# 'd'        |  thin_diamond marker
# '&#124;'      |  vline marker (pipe)
# '_'        |  hline marker 

# In[7]:


days = list(range(0, 22, 3))
celsius_values = [25.6, 24.1, 26.7, 28.3, 27.5, 30.5, 32.8, 33.1]
plt.plot(days, celsius_values)
plt.show()


# In[8]:


days = list(range(0, 22, 3))
celsius_values = [25.6, 24.1, 26.7, 28.3, 27.5, 30.5, 32.8, 33.1]
plt.plot(days, celsius_values, linestyle='--', color='g' )
plt.show()


# In[9]:


days = list(range(0, 22, 3))
celsius_values = [25.6, 24.1, 26.7, 28.3, 27.5, 30.5, 32.8, 33.1]
plt.plot(days, celsius_values, 'og' )  # first char o is repesting the circle, #g is color green
plt.show()


# In[10]:


days = list(range(0, 22, 3))
celsius_values = [25.6, 24.1, 26.7, 28.3, 27.5, 30.5, 32.8, 33.1]
plt.plot(days, celsius_values, 'og', linestyle='-')  # first char o is repesting the circle, #g is color green
plt.show()


# ** Labels on Axes and Title **

# In[11]:


days = list(range(0, 22, 3))
celsius_values = [25.6, 24.1, 26.7, 28.3, 27.5, 30.5, 32.8, 33.1]
plt.plot(days, celsius_values, 'og', linestyle='-')  

plt.xlabel("days")
plt.ylabel("celsius values")
plt.title("Temprature Stats")

plt.show()


# We can specify an arbitrary number of x, y, fmt groups in a plot function. In the following example, we use two different lists of y values:

# In[12]:


days = list(range(1,9))
celsius_min = [19.6, 24.1, 26.7, 28.3, 27.5, 30.5, 32.8, 33.1]
celsius_max = [24.8, 28.9, 31.3, 33.0, 34.9, 35.6, 38.4, 39.2]
plt.xlabel('Day')
plt.ylabel('Degrees Celsius')
plt.plot(days, celsius_min,
         days, celsius_min, "oy",
         days, celsius_max, 
         days, celsius_max, "or")
plt.show()


# In[ ]: