In [1]:

    

from ahh import exp, vis
import matplotlib.pyplot as plt
import pandas as pd


    

In [2]:

    

x = pd.date_range('2016-01-01', '2017-02-01', freq='7D')
y = exp.arr_1d(len(x), y=True)


    

In [3]:

    

vis.plot_line(x, y) # automatically sets date labels intelligently


    

    
Out[3]:





<matplotlib.axes._subplots.AxesSubplot at 0x7f4be101eba8>






    

In [4]:

    

vis.plot_bar(x, y) # works for other types of plots as well


    

    
Out[4]:





<matplotlib.axes._subplots.AxesSubplot at 0x7f4be0840d68>






    

In [5]:

    

vis.plot_scatter(x, y) # works for other types of plots as well


    

    
Out[5]:





<matplotlib.axes._subplots.AxesSubplot at 0x7f4be0e7a9e8>






    

In [6]:

    

x = pd.date_range('2016-01-01', '2016-05-01', freq='7D') # works for different time periods as well 
y = exp.arr_1d(len(x), y=True)
vis.plot_line(x, y) # automatically sets date labels intelligently


    

    
Out[6]:





<matplotlib.axes._subplots.AxesSubplot at 0x7f4be39a92b0>






    

In [7]:

    

x = pd.date_range('2016-01-01', '2016-8-01', freq='7D') # works for different time periods as well 
y = exp.arr_1d(len(x), y=True)
vis.plot_line(x, y) # automatically sets date labels intelligently


    

    
Out[7]:





<matplotlib.axes._subplots.AxesSubplot at 0x7f4be3dae588>






    

In [8]:

    

x = pd.date_range('2016-01-01', '2016-2-25', freq='3D') # works for different time periods as well 
y = exp.arr_1d(len(x), y=True)
vis.plot_line(x, y) # automatically sets date labels intelligently


    

    
Out[8]:





<matplotlib.axes._subplots.AxesSubplot at 0x7f4be2a99cf8>






    

In [9]:

    

x = pd.date_range('2016-01-01', '2016-1-4', freq='8H') # works for different time periods as well 
y = exp.arr_1d(len(x), y=True)
vis.plot_line(x, y) # automatically sets date labels intelligently


    

    
Out[9]:





<matplotlib.axes._subplots.AxesSubplot at 0x7f4be2deb358>






    

In [10]:

    

x = pd.date_range('2016-01-01', '2016-1-2', freq='1H') # works for different time periods as well 
y = exp.arr_1d(len(x), y=True)
vis.plot_line(x, y) # automatically sets date labels intelligently


    

    
Out[10]:





<matplotlib.axes._subplots.AxesSubplot at 0x7f4be509d7f0>






    

In [ ]: