fanchui5287的博客

最简单的折线图是什么，折线图其实是两组一一对应的数据的散点的连线 from pylab import * mpl.rcParams['font.sans-serif'] = ['SimHei'] x_axis_data = [1, 2, 3, 4, 5] y_axis_data = [1, 2, 3, 4, 5] # plot中参数的含义分别是横轴值，纵轴值，颜色，透明度和标签 plt.plot(x_axis_data, y_axis_data, 'ro-', color='#4169E1', alpha=

groups = t.groupby([‘Pclass’,‘addone’]).count() # beautiful graph t是一个dataframe，以groupby中的两列进行分组 得到groups是这样一个DataFrame 取出其中的任意一列：tmp = groups[‘Name’] 得到一个series 只要把它的双重索引转化成xy索引的DataFrame，就能画出需要的图了： tmp2 = tmp.unstack() 这就是我们需要的了，可以直接画图： tmp2.plot(ki

job_data = [470, 443, 240, 207, 202, 184, 151, 136, 124, 118] how_many = [2620,1841,640,790,589,538,408,425,493,550] labels =["北京","上海","深圳","郑州","广州","成都","杭州","长沙","武汉","大连"] import matplotlib.pyplot as plt import numpy as np #ax2 = fig.add_subplot(222)

import numpy as np import matplotlib.pyplot as plt # 数据 x = np.arange(4) Bj = [52, 55, 63, 53] Sh = [44, 66, 55, 41] bar_width = 0.3 # 绘图 x 表示 从那里开始 plt.bar(x, Bj, bar_width) plt.bar(x+bar_width, Sh, bar_width, align="center") # 展示图片 plt.show() 一张图上画两种bar