MatPlotLib:同一散点图上的多个数据集 [英] MatPlotLib: Multiple datasets on the same scatter plot

问题描述

我想在同一散点图上绘制多个数据集:

I want to plot multiple data sets on the same scatter plot:

cases = scatter(x[:4], y[:4], s=10, c='b', marker="s")
controls = scatter(x[4:], y[4:], s=10, c='r', marker="o")

show()

上面仅显示了最新的scatter()

我也尝试过:

plt = subplot(111)
plt.scatter(x[:4], y[:4], s=10, c='b', marker="s")
plt.scatter(x[4:], y[4:], s=10, c='r', marker="o")
show()

推荐答案

您需要引用Axes对象，以保持在同一子图上绘制.

You need a reference to an Axes object to keep drawing on the same subplot.

import matplotlib.pyplot as plt

x = range(100)
y = range(100,200)
fig = plt.figure()
ax1 = fig.add_subplot(111)

ax1.scatter(x[:4], y[:4], s=10, c='b', marker="s", label='first')
ax1.scatter(x[40:],y[40:], s=10, c='r', marker="o", label='second')
plt.legend(loc='upper left');
plt.show()

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