Matplotlib 允许在同一个图中添加多个图。在本教程中,我将向您展示如何在同一个图中,在两个不同的轴上呈现数据。
1. 通过打开 python 命令提示符并触发 pip install matplotlib 来安装 matplotlib。
importmatplotlib.pyplotas plt
2. 准备要显示的数据。
importmatplotlib.pyplotas plt # data prep (I made up data no accuracy in these stats) mobile = ['Iphone','Galaxy','Pixel'] # Data for the mobile units sold for 4 Quaters in Million units_sold = (('2016',12,8,6), ('2017',14,10,7), ('2018',16,12,8), ('2019',18,14,10), ('2020',20,16,5),)
3. 将数据拆分为每个公司公司的移动单元的数组。
# data prep - splitting the data Years, IPhone_Sales, Galaxy_Sales, Pixel_Sales = zip(*units_sold) # set the position Position = list(range(len(units_sold))) # set the width Width = 0.2
4. 创建第一个子图。
plt.subplot(2, 1, 1)
<matplotlib.axes._subplots.AxesSubplot at 0x214185d4e50>
5. 创建一个包含有关 IPhone_Sales 信息的条形图。
Iphone = plt.bar(Position, IPhone_Sales,color='green') plt.ylabel('IPhone Sales') plt.xticks(Position, Years)
([<matplotlib.axis.XTick at 0x214186115e0>, <matplotlib.axis.XTick at 0x21418611580>, <matplotlib.axis.XTick at 0x2141861fc40>, <matplotlib.axis.XTick at 0x21418654e20>, <matplotlib.axis.XTick at 0x2141865f370>], [Text(0, 0, '2016'), Text(0, 0, '2017'), Text(0, 0, '2018'), Text(0, 0, '2019'), Text(0, 0, '2020')])
6. 现在创建另一个 y 轴以添加有关三星 Galaxy 销售的信息。
plt.twinx() Galaxy = plt.plot(Position, Galaxy_Sales, 'o-', color='blue') plt.ylabel('Galaxy Sales') plt.xticks(Position, Years)
([<matplotlib.axis.XTick at 0x214186b4c40>, <matplotlib.axis.XTick at 0x214186b4c10>, <matplotlib.axis.XTick at 0x21418682ac0>, <matplotlib.axis.XTick at 0x214186dd8e0>, <matplotlib.axis.XTick at 0x214186dddf0>], [Text(0, 0, '2016'), Text(0, 0, '2017'), Text(0, 0, '2018'), Text(0, 0, '2019'), Text(0, 0, '2020')])
7. 我们现在将绘制最终的 Google Pixel Sales。
plt.subplot(2, 1, 2) plt.plot(Position, Pixel_Sales, color='yellow') plt.gca().set_ylim(ymin=0) plt.xticks(Position, Years)
([<matplotlib.axis.XTick at 0x2141870f9a0>, <matplotlib.axis.XTick at 0x2141870f580>, <matplotlib.axis.XTick at 0x2141870a730>, <matplotlib.axis.XTick at 0x2141873c9d0>, <matplotlib.axis.XTick at 0x2141873cee0>], [Text(0, 0, '2016'), Text(0, 0, '2017'), Text(0, 0, '2018'), Text(0, 0, '2019'), Text(0, 0, '2020')])
plt.show()
8.把它们放在一起并保存图表。
importmatplotlib.pyplotas plt # data prep (I made up data no accuracy in these stats) mobile = ['Iphone','Galaxy','Pixel'] # Data for the mobile units sold for 4 Quaters in Million units_sold = (('2016',12,8,6), ('2017',14,10,7), ('2018',16,12,8), ('2019',18,14,10), ('2020',20,16,5),) # data prep - splitting the data Years, IPhone_Sales, Galaxy_Sales, Pixel_Sales = zip(*units_sold) # set the position Position = list(range(len(units_sold))) # set the width Width = 0.2 plt.subplot(2, 1, 1) Iphone = plt.bar(Position, IPhone_Sales,color='green') plt.ylabel('IPhone Sales') plt.xticks(Position, Years) plt.twinx() Galaxy = plt.plot(Position, Galaxy_Sales, 'o-', color='blue') plt.ylabel('Galaxy Sales') plt.xticks(Position, Years) plt.subplot(2, 1, 2) plt.plot(Position, Pixel_Sales, color='yellow') plt.ylabel('Pixel Sales') plt.gca().set_ylim(ymin=0) plt.xticks(Position, Years) # plt.show() plt.savefig('CombiningGraphs.png', dpi=72)