python可視化編程實例(matplotlib)_3

利用pandas和matplotlib來繪圖

import pandas as pd
import numpy as np
import matplotlib.pyplot as plt

plt.style.use('ggplot')
fig, axes = plt.subplots(nrows=1, ncols=2)
ax1, ax2 = axes.ravel()
data_frame = pd.DataFrame(np.random.rand(5, 3),index=['Customer 1', 'Customer 2', 'Customer 3', 'Customer 4', 'Customer 5'],columns=pd.Index(['Metric 1', 'Metric 2', 'Metric 3'], name='Metrics'))

data_frame.plot(kind='bar', ax=ax1, alpha=0.75, title='Bar Plot')
plt.setp(ax1.get_xticklabels(), rotation=45, fontsize=10)
plt.setp(ax1.get_yticklabels(), rotation=0, fontsize=10)
ax1.set_xlabel('Customer')
ax1.set_ylabel('Value')
ax1.xaxis.set_ticks_position('bottom')
ax1.yaxis.set_ticks_position('left')
colors = dict(boxes='DarkBlue', whiskers='Gray', medians='Red', caps='Black')
data_frame.plot(kind='box', color=colors, sym='r.', ax=ax2, title='Box Plot')
plt.setp(ax2.get_xticklabels(), rotation=45, fontsize=10)
plt.setp(ax2.get_yticklabels(), rotation=0, fontsize=10)
ax2.set_xlabel('Metric')
ax2.set_ylabel('Value')
ax2.xaxis.set_ticks_position('bottom')
ax2.yaxis.set_ticks_position('left')
plt.savefig('pandas_plots.png', dpi=400, bbox_inches='tight')
plt.show()