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可视化matplotlib2

时间:2018-10-19 20:19:55      阅读:166      评论:0      收藏:0      [点我收藏+]

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#!/usr/bin/env python
# -*- coding:utf-8 -*-
import pandas as pd
import matplotlib.pyplot as plt
women_degrees = pd.read_csv(percent-bachelors-degrees-women-usa.csv)
plt.plot(women_degrees[Year], women_degrees[Biology])
plt.show()


stem_cats = [Engineering, Computer Science, Psychology, Biology, Physical Sciences, Math and Statistics]
fig = plt.figure(figsize=(18, 3))
#各种颜色
cb_dark_blue = (0/255, 107/255, 164/255)
cb_orange = (255/255, 128/255, 14/255)

for sp in range(0,6):
    ax = fig.add_subplot(1,6,sp+1)

    ax.plot(women_degrees[Year], women_degrees[stem_cats[sp]], c=cb_dark_blue, label=Women, linewidth=3)
    ax.plot(women_degrees[Year], 100-women_degrees[stem_cats[sp]], c=cb_orange, label=Men, linewidth=3)
    for key,spine in ax.spines.items():
        spine.set_visible(False)
    ax.set_xlim(1968, 2011)
    ax.set_ylim(0,100)
    ax.set_title(stem_cats[sp])
    ax.tick_params(bottom="off", top="off", left="off", right="off")

plt.legend(loc=upper right)
plt.show()

 

可视化matplotlib2

标签:tom   usr   panda   com   python   cat   add   port   ott   

原文地址:https://www.cnblogs.com/lifengwu/p/9818416.html

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