In [1]:

    

!/usr/local/bin/pip3 freeze | grep stemgraphic


    

    




You are using pip version 8.0.2, however version 8.1.2 is available.
You should consider upgrading via the 'pip install --upgrade pip' command.
stemgraphic==0.3.3

In [2]:

    

%matplotlib inline
import stemgraphic
import matplotlib.pyplot as plt


    

In [3]:

    

help(stemgraphic)


    

    




Help on package stemgraphic:

NAME
    stemgraphic - stem_graphic

DESCRIPTION
    Module implementing a text and a graphical stem-and-leaf plot function. stem_graphic provides
    horizontal, vertical or mirrored layouts, sorted in ascending or descending order, with sane
    default settings for the visuals, legend, median and outliers.
    
    It also handles very large data sets through scaling, sampling, trimming and other techniques.
    
    See research paper () for more technical details.
    
    A command line utility was installed along with the module, allowing to process excel or csv
    files. See: stem -h

PACKAGE CONTENTS
    aliases
    graphic
    helpers
    text

FILE
    /Library/Frameworks/Python.framework/Versions/3.4/lib/python3.4/site-packages/stemgraphic/__init__.py

In [4]:

    

!stem -h


    

    




Stem.

Stem and leaf plot from a csv or excel spreadsheet using best defaults.

Usage:
    stem <input> [-c <column>] [-o <file>] [-d]
    stem -h | --help
    stem --version

Options:
    -h --help    Show this screen.
    -c <column>  column index
    -d           describe the data
    -o <file>    output file (.txt, .png)
    --version

In [5]:

    

!ls *.xlsx


    

    




excel_test.xlsx

In [6]:

    

!stem excel_test.xlsx


    

    




1
    ¡
  1 | 000
  2 | 000
  3 | 000
  4 | 000
  5 | 000
  6 | 000
  7 | 000
  8 | 000
  9 | 000
 10 | 000
    !
10
Key: 
10|0 => 10.0x1 = 10.0 

In [7]:

    

!stem excel_test.xlsx -c 7


    

    




20188
    ¡
  0 | 224
    | 56889
  1 | 001122233
    | 5555566666
  2 | 044
    !
237431
Key: 
2|0 => 2.0x100000 = 200000.0 

In [8]:

    

from stemgraphic import *


    

In [9]:

    

dir()


    

    
Out[9]:





['In',
 'Out',
 '_',
 '__',
 '___',
 '__builtin__',
 '__builtins__',
 '__doc__',
 '__loader__',
 '__name__',
 '__package__',
 '__spec__',
 '_dh',
 '_exit_code',
 '_i',
 '_i1',
 '_i2',
 '_i3',
 '_i4',
 '_i5',
 '_i6',
 '_i7',
 '_i8',
 '_i9',
 '_ih',
 '_ii',
 '_iii',
 '_oh',
 '_sh',
 'aliases',
 'exit',
 'get_ipython',
 'graphic',
 'helpers',
 'plt',
 'quit',
 'stem_data',
 'stem_graphic',
 'stem_hist',
 'stem_kde',
 'stem_line',
 'stem_text',
 'stemgraphic',
 'text',
 'ui']

In [10]:

    

x = [
    12, 127, 28, 42, 39, 113, 42, 18, 44, 118, 44, 37, 113, 124, 37, 48, 127, 36, 29, 31,
    125, 139, 131, 115, 105, 132, 104, 123, 35, 113, 122, 42, 117, 119, 58, 109, 23, 105,
    63, 27, 44, 105, 99, 41, 128, 121, 116, 125, 32, 61, 37, 127, 29, 113, 121, 58, 114,
    126, 53, 114, 96, 25, 109, 7, 31, 141, 46, 13, 27, 43, 117, 116, 27, 7, 68, 40, 31, 115,
    124, 42, 128, 52, 71, 118, 117, 38, 27, 106, 33, 117, 116, 111, 40, 119, 47, 105, 57,
    122, 109, 124, 115, 43, 120, 43, 27, 27, 18, 28, 48, 125, 107, 114, 34, 133, 45, 120,
    30, 127, 31, 116, 146
]


    

In [11]:

    

fig, ax = stem_graphic(x)
fig.savefig('1.png')
fig.savefig('1.svg')


    

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import numpy as np


    

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x = np.arange(150)**2


    

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stem_graphic(x, aggregation=False, outliers=False, legend_pos=None,
             delimiter_color='k', alpha=0, underline_color='orange')


    

    
Out[14]:





(<matplotlib.figure.Figure at 0x107ee0278>,
 <matplotlib.axes._axes.Axes at 0x107ec2198>)






    

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f, ax = stem_hist(x, color='k')


    

In [16]:

    

f.savefig('stem_hist.pdf', transparent=True)


    

In [17]:

    

%load_ext rpy2.ipython


    

In [18]:

    

%%R 
data(mtcars)
car_weight <- mtcars$wt

data(quakes)


    

In [19]:

    

%Rpull car_weight quakes


    

In [20]:

    

stem_graphic(quakes.depth)


    

    
Out[20]:





(<matplotlib.figure.Figure at 0x10c3e2da0>,
 <matplotlib.axes._axes.Axes at 0x10c53f1d0>)






    

In [21]:

    

stem_graphic(car_weight)


    

    
Out[21]:





(<matplotlib.figure.Figure at 0x10d6d5240>,
 <matplotlib.axes._axes.Axes at 0x10d6d5c50>)






    

In [22]:

    

%load_ext coconut


    

In [23]:

    

%%coconut
from random import sample
from stemgraphic import stem_graphic

# Build a pipeline. 

(quakes.depth |> list, 100) |*> sample |> list |> stem_graphic


    

    
Out[23]:





(<matplotlib.figure.Figure at 0x10f9b0ba8>,
 <matplotlib.axes._axes.Axes at 0x10f92a358>)






    

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