pandas matplotlib 散点图 x 轴标签
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matplotlib scatterplot x axis labels
提问by Kornel
When I'm adding the c option to a scatterplot in matplotlib, the x axis labels dissapear. Here's an example: https://github.com/Kornel/scatterplot-matplotlib/blob/master/Scatter%20plot%20x%20axis%20labels.ipynb(pull requests are welcome:))
当我将 c 选项添加到 matplotlib 中的散点图时，x 轴标签消失。这是一个例子：https: //github.com/Kornel/scatterplot-matplotlib/blob/master/Scatter%20plot%20x%20axis%20labels.ipynb（欢迎拉取请求:)）
Here's the same example as in the notebook:
这是与笔记本中相同的示例：
import pandas as pd
import matplotlib.pyplot as plt
test_df = pd.DataFrame({
"X": [1, 2, 3, 4],
"Y": [5, 4, 2, 1],
"C": [1, 2, 3, 4]
})
Now compare the result of:
现在比较结果：
test_df.plot(kind="scatter", x="X", y="Y", s=50);
To:
到：
test_df.plot(kind="scatter", x="X", y="Y", c="C");
Where are the x axis labels? Is this a feature I'm missing?
x 轴标签在哪里？这是我缺少的功能吗？
Pandas version: 0.18.1 Matplotlib: 1.5.3 Python: 3.5.2
Pandas版本：0.18.1 Matplotlib：1.5.3 Python：3.5.2
Thanks for any help, Kornel
感谢您的帮助，科内尔
EDIT: The solutionas pointed out by @Kewl is to call plt.subplots and specify the axes:
编辑：@Kewl 指出的解决方案是调用 plt.subplots 并指定轴：
fig, ax = plt.subplots()
test_df.plot(kind="scatter", x="X", y="Y", s=50, c="C", cmap="plasma", ax=ax);
gives
给
P.S. It looks like a jupyter issue, the label is fine when called without a jupyter notebook
PS 看起来像是 jupyter 问题，在没有 jupyter notebook 的情况下调用时标签很好
回答by Kewl
That looks like a strange bug with pandas plotting to me! Here's a way around it:
这看起来像是一个大Pandas密谋给我的奇怪错误！这是一种解决方法：
fig, ax = plt.subplots()
df.plot(kind='scatter',x='X', y='Y', c='C', ax=ax)
ax.set_xlabel("X")
plt.show()
This will give you the graph you expect:
这将为您提供您期望的图表：
回答by c0degeas
If you are using Anaconda, installing pandaswith conda-forgechannel resolves the issue.
如果您使用的是 Anaconda，则pandas通过conda-forge频道安装可以解决该问题。
conda install -c conda-forge pandas
