在x轴上具有索引的散点图形式数据框 [英] Scatter plot form dataframe with index on x-axis

问题描述

我有熊猫DataFrame，df，名为date的index和列columnA，columnB和columnC

I've got pandas DataFrame, df, with index named date and the columns columnA, columnB and columnC

我正在尝试使用DataFrame语法将图index散布在x轴上，将columnA散布在y轴上.

I am trying to scatter plot index on a x-axis and columnA on a y-axis using the DataFrame syntax.

当我尝试时:

df.plot(kind='scatter', x='date', y='columnA')

我可能会收到错误KeyError: 'date'，可能是因为date不是列

I ma getting an error KeyError: 'date' probably because the date is not column

df.plot(kind='scatter', y='columnA')

我遇到错误:

ValueError: scatter requires and x and y column

因此在x轴上没有默认索引.

so no default index on x-axis.

df.plot(kind='scatter', x=df.index, y='columnA')

我遇到错误

KeyError: "DatetimeIndex(['1818-01-01', '1818-01-02', '1818-01-03', '1818-01-04',\n
                          '1818-01-05', '1818-01-06', '1818-01-07', '1818-01-08',\n
                          '1818-01-09', '1818-01-10',\n               ...\n  
                          '2018-03-22', '2018-03-23', '2018-03-24', '2018-03-25',\n
                          '2018-03-26', '2018-03-27', '2018-03-28', '2018-03-29',\n 
                          '2018-03-30', '2018-03-31'],\n  
dtype='datetime64[ns]', name='date', length=73139, freq=None) not in index"

---

如果我直接使用matplotlib.pyplot，我可以绘制它

---

I can plot it if I use matplotlib.pyplot directly

plt.scatter(df.index, df['columnA'])

是否可以使用DataFrame kind语法将索引绘制为x-axis?

Is there a way to plot index as x-axis using the DataFrame kind syntax?

推荐答案

这有点丑陋(我认为您在问题中使用的matplotlib解决方案更好，FWIW)，但是您始终可以使用索引创建一个临时DataFrame作为列

This is kind of ugly (I think the matplotlib solution you used in your question is better, FWIW), but you can always create a temporary DataFrame with the index as a column usinng

df.reset_index()

如果索引是无名的，则默认名称将为'index'.假设是这种情况，您可以使用

If the index was nameless, the default name will be 'index'. Assuming this is the case, you could use

df.reset_index().plot(kind='scatter', x='index', y='columnA')

这篇关于在x轴上具有索引的散点图形式数据框的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持IT屋！