matplotlib画图1

最新推荐文章于 2022-08-08 02:34:56 发布

RockyRich

最新推荐文章于 2022-08-08 02:34:56 发布

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分类专栏： matplotlib 文章标签： matplotlib

本文链接：https://blog.youkuaiyun.com/sunyao_123/article/details/78154878

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本文介绍如何利用Python中的Matplotlib库绘制带有多个数据系列的分组柱状图，并通过具体代码实例展示了如何设置图表尺寸、网格、柱状图的颜色、标签等属性。

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import numpy as np
import matplotlib.pyplot as plt

path = ''
N = 5
menMeans = (20, 35, 30, 35, 27)
womenMeans = (25, 32, 34, 20, 25)
girls = (12, 3, 45, 12, 4)
ind = np.arange(N)    # the x locations for the groups
width = 0.35       # the width of the bars: can also be len(x) sequence

plt.figure(figsize = (20, 10))  #调整大小
plt.grid() #画网格
p1 = plt.bar(ind, menMeans, width, color='#d62728',)
p2 = plt.bar(ind, womenMeans, width,
             bottom=menMeans, color='darkorange')
p3 = plt.bar(ind, girls, width,
             bottom=np.array(menMeans)+np.array(womenMeans), color='m')
plt.ylabel('Scores')
plt.title('Scores by group and gender')
plt.xticks(ind, ('G1', 'G2', 'G3', 'G4', 'G5'), ratation=90)  #ratation控制横坐标名称旋转
plt.yticks(np.arange(0, 81, 10))
plt.legend((p1[0], p2[0], p3[0]), ('Men', 'Women', 'girls'))

plt.show()  #如果要保存的画,去掉show
plt.savefig(path + 'statistic.png')