如何从列中使用x轴标签在 pandas 中生成直方图? [英] how to generate histogram in pandas with x-axis labels from column?

问题描述

给出以下数据框:

import pandas as pd
df = pd.read_json('{"genre":{"0":"Drama","1":"Comedy","2":"Action","3":"Thriller"},"count":{"0":1603,"1":1200,"2":503,"3":492}}')

是否有一种熊猫单线快速生成直方图的方法，其中条形图是基于计数"列，而x轴标签是类型"列?

Is there a pandas one-liner/fast way to generate a histogram where bars are based on the "count" column, and x-axis labels are the "genre" column?

推荐答案

是的，您可以选择要与x和y关键字参数一起使用的列.您还可以使用kind='bar'选择所需的绘图类型(在这种情况下为历史记录).

Yes you can select the columns to be used with the x and y keyword arguments. You also select the kind of plot you want, in this case a hist, using kind='bar'.

import pandas as pd
import matplotlib.pyplot as plt

df = pd.read_json('{"genre":{"0":"Drama","1":"Comedy","2":"Action","3":"Thriller"},"count":{"0":1603,"1":1200,"2":503,"3":492}}')

df.plot(x='genre', y='count', kind='bar', legend=False)

plt.show()

请注意，我还使用legend=False删除了图例，如果愿意，可以将其保留在其中.

Note that I've also used legend=False to remove the legend, you could leave this in if you so wish.

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