In [1]:

    

%matplotlib inline
from ahh import ext, vis, sci
import numpy as np
import pandas as pd
import datetime
colors = vis.COLORS


    

    




/home/solactus/anaconda3/lib/python3.6/site-packages/matplotlib/__init__.py:1401: UserWarning:  This call to matplotlib.use() has no effect
because the backend has already been chosen;
matplotlib.use() must be called *before* pylab, matplotlib.pyplot,
or matplotlib.backends is imported for the first time.

  warnings.warn(_use_error_msg)

In [2]:

    

x = np.arange(-13, 13, 2)
vis.utils(figsize=(20, 10))
for i, (name, color) in enumerate(sorted(colors.items())):
    y = x * -i
    ax = vis.plot_line(x, y, color=color, linewidth=2, label=name,
                   title='omnitakes', xlabel='x', ylabel='y', figsize='na')
vis.set_legend(ax, ncol=2)


    

    
Out[2]:





<matplotlib.figure.Figure at 0x7ffefa68ee48>






    




/mnt/c/Users/sephi/GOOGLE~1/Bash/ahh/ahh/ext.py:618: RuntimeWarning: divide by zero encountered in log10
  return int(np.log10(x))
/home/solactus/anaconda3/lib/python3.6/site-packages/matplotlib/axes/_base.py:3179: UserWarning: Attempting to set identical bottom==top results
in singular transformations; automatically expanding.
bottom=0, top=0
  'bottom=%s, top=%s') % (bottom, top))






    
Out[2]:





<matplotlib.axes._subplots.AxesSubplot at 0x7ffefa68ee10>






    

In [3]:

    

length = 31
x = np.arange(length)
y = np.square(x)

ax = vis.plot_line(x, y, figsize='wide')
vis.set_labels(ax, 'x', 'y', 'Grids, Axes, and Borders Demonstration')
vis.set_major_grid(ax, linestyle='--')
vis.set_borders(ax, all_=False)
vis.set_major_ticks(ax, left=False, bottom=False)


    

    
Out[3]:





<matplotlib.axes._subplots.AxesSubplot at 0x7ffef6cf9ef0>






    
Out[3]:





<matplotlib.axes._subplots.AxesSubplot at 0x7ffef6cf9ef0>






    
Out[3]:





<matplotlib.axes._subplots.AxesSubplot at 0x7ffef6cf9ef0>






    
Out[3]:





<matplotlib.axes._subplots.AxesSubplot at 0x7ffef6cf9ef0>






    

In [4]:

    

length = 26
x = np.arange(length)
y = np.sin(x)

ax = vis.plot_scatter(x, y, color=colors['orange'], figsize=(10, 6),
                      xlabel='x', ylabel='y', yinvert=True,
                      title='Scatter, Yinvert, Scale Demonstration')
vis.set_major_tick_labels(ax)


    

    
Out[4]:





<matplotlib.axes._subplots.AxesSubplot at 0x7ffef6c88080>






    

In [5]:

    

start = datetime.datetime(2016, 1, 1)
end = datetime.datetime(2016, 2, 28)

dt_range = pd.date_range(start, end)
y = np.sqrt(range(len(dt_range)))

ax = vis.plot_line(dt_range, y, color=colors['green'], figsize=(15, 10))
vis.set_labels(ax, title='Datetime Demonstration', xlabel='days', ylabel='y', title_pad=1.1)

formatted = sci.get_stats(y, return_str='vertical')
vis.set_figtext(ax, text=formatted, loc='center right', pad=0.05)


    

    
Out[5]:





<matplotlib.axes._subplots.AxesSubplot at 0x7ffef68ba278>






    




Len:     59 , Min:   0.00 , Max:   7.62 , Med:   5.39 , Avg:   5.05 , Std:   1.86 







    

In [6]:

    

x = np.arange(0, 10, 2)
y = [2, 4, 6, 8, 10]
z = [1, 3, 5, 7, 9]

vis.utils(figsize=(45, 15))
ax3 = vis.plot_line(x, y, rows=1, cols=3, figsize='n', pos=3, title='Position 3', xlabel='Large xlabel', ylabel='left ylabel')
ax3_twin = vis.plot_line(x, z, rows=1, cols=3, pos=3,
                     title='inheriting title', xlabel='inherited xlabel',
                     ylabel='Large ylabel', twinx=ax3, color='blue')
vis.set_major_grid(ax3, linestyle='--')

ax4 = vis.plot_scatter(x, y, rows=2, cols=3, figsize='n', pos=4, title='Position 4',
                       xlabel='some xlabel', ylabel='left ylabel',
                       color=colors['orange'])

ax5 = vis.plot_bar(x, z, rows=2, cols=3, figsize='n', pos=5, title='Position 5', xlabel='Shared xlabel', hist=True, sharey=ax4)
vis.set_axes(ax5, xlim=(0, 6))

ax1 = vis.plot_scatter(x, y, rows=2, cols=3, figsize='n', pos=1, title='Position 1',
                xlabel='Can still show xlabel', ylabel='Shared ylabel',
                sharex=ax4)
ax1_twin = vis.plot_bar(x, z, rows=2, cols=3, figsize='n', pos=1, twinx=ax1,
                    color=colors['blue'],
                    ylabel='Twin ylabel',
                    sharex=ax4)
vis.set_axes(ax1, xlim=(-2, 10))

ax2 = vis.plot_line(x, y, rows=2, cols=3, figsize='n', pos=2, title='Position 2',
                ylabel='Can still show ylabel',
                sharey=ax1, sharex=ax5, tight_layout='on')


    

    
Out[6]:





<matplotlib.figure.Figure at 0x7ffef6ab96d8>






    
Out[6]:





<matplotlib.axes._subplots.AxesSubplot at 0x7ffef6ab97b8>






    
Out[6]:





<matplotlib.axes._subplots.AxesSubplot at 0x7ffef6d46f60>






    
Out[6]:





<matplotlib.axes._subplots.AxesSubplot at 0x7ffef698d2e8>






    

In [7]:

    

y = ['orange', 'pear', 'apple', 'pear', 'apple', 'orange', 'apple'] * 10 + ['orange'] + ['banana'] * 5
ax = vis.plot_bar(x='auto', y=y, hist=True, title='Fruit Histogram', width=0.8, figsize=(10, 5),
                  xlabel='Fruit', ylabel='Count', color=colors['orange'])


    

In [8]:

    

labels =['A','B','A','C','A','A']

vis.plot_bar(x='text', y=labels, hist=True, align='center', title='Text Histogram', figsize=(4, 2), color=colors['purple'])


    

    
Out[8]:





<matplotlib.axes._subplots.AxesSubplot at 0x7ffef4aff748>






    

In [9]:

    

from ahh import ext, vis, sci
import numpy as np
import pandas as pd
import datetime
colors = vis.COLORS
%matplotlib inline

scores = [99., 96., 94., 92., 86., 84., 82, 81, 80, 88., 94., 95., 90, 90, 90, 85, 83, 82, 81, 85, 75, 74, 54, 100]
ax = vis.plot_bar(y=scores, title='Number Hist', figsize=(15, 10),
                  ylabel='Count', xlabel='Score', hist=True, align='edge', width=5, xlim=(50, 100), stats='top left')


    

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