[英]Add Legend for scatter plot
Below is the code for scatter plot. 下面是散点图的代码。
for_tsne = np.hstack((X_embedding, y.values.reshape(-1,1)))
for_tsne_df = pd.DataFrame(data=for_tsne, columns=
['Dimension_x','Dimension_y','Labels'])
colors = {0:'red', 1:'blue', 2:'yellow'}
#colors = ['red','blue']
plt.scatter(for_tsne_df['Dimension_x'],
for_tsne_df['Dimension_y'],c=for_tsne_df['Labels'].apply(lambda x:
colors[x]))
plt.title("TSNE with BOW encoding of project_title")
plt.xlabel("Dimension_x")
plt.ylabel("Dimension_y")
plt.legend()
plt.show()`
How can I add legend? 如何添加图例? Above code is displaying only one label as
Dimension_y
. 上面的代码只显示一个标签
Dimension_y
。
One option is to assign a label to plt.scatter()
. 一种选择是为
plt.scatter()
分配标签。 The legend will only appear if you plot the data with a label: 仅当您使用标签绘制数据时,才会显示图例:
import matplotlib.pyplot as plt
import numpy as np
x = np.random.random(size=(100))
y = np.random.random(size=(100))
x1 = np.random.random(size=(100))
y1 = np.random.random(size=(100))
plt.scatter(x,y, label='sample 1')
plt.scatter(x1,y1, label='sample 2')
plt.title("TSNE with BOW encoding of project_title")
plt.xlabel("Dimension_x")
plt.ylabel("Dimension_y")
plt.legend()
plt.show()
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