使大 pandas plot()显示xlabel和xvalues [英] Make pandas plot() show xlabel and xvalues

问题描述

我正在使用标准的pandas.df.plot()函数在数据框中绘制两列.由于某些原因，x轴值和xlabel不可见！似乎也没有在功能中将其打开的选项(请参见

I am using the standard pandas.df.plot() function to plot two columns in a dataframe. For some reason, the x-axis values and the xlabel are not visible! There seem to be no options to turn them on in the function either (see https://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.plot.html).

有人知道发生了什么事，以及如何纠正它吗?

Does someone know what is going on, and how to correct it?

import matplotlib.cm as cm
import pandas as pd

ax1 = df.plot.scatter(x='t', y='hlReference', c='STEP_STRENGTH', cmap=cm.autumn);

给出以下内容:

推荐答案

首先创建轴实例，然后将其作为参数发送到plot()

Create your axes instance first and then send it as an argument to the plot()

import matplotlib.cm as cm
import pandas as pd


X = np.random.rand(10,3)
df = pd.DataFrame(X,columns=['t','hlReference', 'STEP_STRENGTH'])
fig,ax1=plt.subplots()
df.plot.scatter(x='t', y='hlReference', c='STEP_STRENGTH', cmap=cm.autumn,ax=ax1)

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