matplotlib.github.com/examples/pyplots/boxplot_demo.py at master · HalidMahama/matplotlib.github.com · GitHub

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#!/usr/bin/python

# Example boxplot code

import numpy as np

import matplotlib.pyplot as plt

# Fixing random state for reproducibility

np.random.seed(19680801)

# fake up some data

spread = np.random.rand(50) * 100

center = np.ones(25) * 50

flier_high = np.random.rand(10) * 100 + 100

flier_low = np.random.rand(10) * -100

data = np.concatenate((spread, center, flier_high, flier_low), 0)

fig1, ax1 = plt.subplots()

ax1.set_title('Basic Plot')

ax1.boxplot(data)

fig2, ax2 = plt.subplots()

ax2.set_title('Notched boxes')

ax2.boxplot(data, notch=True)

green_diamond = dict(markerfacecolor='g', marker='D')

fig3, ax3 = plt.subplots()

ax3.set_title('Changed Outlier Symbols')

ax3.boxplot(data, flierprops=green_diamond)

fig4, ax4 = plt.subplots()

ax4.set_title('Hide Outlier Points')

ax4.boxplot(data, showfliers=False)

red_square = dict(markerfacecolor='r', marker='s')

fig5, ax5 = plt.subplots()

ax5.set_title('Horizontal Boxes')

ax5.boxplot(data, vert=False, flierprops=red_square)

fig6, ax6 = plt.subplots()

ax6.set_title('Shorter Whisker Length')

ax6.boxplot(data, flierprops=red_square, vert=False, whis=0.75)

# fake up some more data

spread = np.random.rand(50) * 100

center = np.ones(25) * 40

flier_high = np.random.rand(10) * 100 + 100

flier_low = np.random.rand(10) * -100

d2 = np.concatenate((spread, center, flier_high, flier_low), 0)

data.shape = (-1, 1)

d2.shape = (-1, 1)

# Making a 2-D array only works if all the columns are the

# same length. If they are not, then use a list instead.

# This is actually more efficient because boxplot converts

# a 2-D array into a list of vectors internally anyway.

data = [data, d2, d2[::2,0]]

fig7, ax7 = plt.subplots()

ax7.set_title('Multiple Samples with Different sizes')

ax7.boxplot(data)

plt.show()

matplotlib.github.com/examples/pyplots/boxplot_demo.py at master · HalidMahama/matplotlib.github.com · GitHub

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