Matplotlib线与条形图DateTime轴格式 [英] Matplotlib Line vs. Bar plot DateTime axis formatting

问题描述

我有一个带有DateTime索引的DataFrame:

I have a DataFrame with a DateTime index:

import pandas as pd
from random import randrange
dates = pd.date_range(start="2020-02-01",end='2020-04-18',freq='1d')
df = pd.DataFrame(index=dates,data=[randrange(10000) for i in range(78)]

现在，当我将数据绘制为线图时，matplotlib会生成格式正确的x轴:

Now when I plot the data as a line plot, matplotlib produces a nicely formatted x axis:

df.plot(figsize=(12,4))

然而，如果我做一个条形图，我现在会得到一些非常可怕的东西:

However, if instead I do a bar plot, I now get something quite horrible:

df.plot(kind='bar',figsize=(12,4)),

这是很令人不安的，因为它是相同的DataFrame.我想要的是具有条形图，但具有格式正确的DateTime轴.

This is quite disconcerting, as it is the same DataFrame. What I want is to have the bar plot, but with the nicely formatted DateTime axis.

有没有简单的方法来实现这一目标?我尝试直接使用 bar 命令，但这会产生另一种 x 轴格式，不如使用 Pandas 方法绘图生成的格式好.

Is there an easy way to achieve that? I tried using the bar command directly, but that produces yet another x axis format, not as nice as the one generated by plotting with a pandas method.

推荐答案

您可以执行以下操作:

In [23]: fig, ax = plt.subplots(figsize=(12, 12))
Attribute Qt::AA_EnableHighDpiScaling must be set before QCoreApplication is created.

In [27]: ax.bar(df.index.values,
    ...:        df[0],
    ...:        color='purple')
Out[27]: <BarContainer object of 78 artists>

In [29]: import matplotlib.dates as mdates
    ...: from matplotlib.dates import DateFormatter

In [30]: date_form = DateFormatter("%m-%d")
    ...: ax.xaxis.set_major_formatter(date_form)
    ...:
    ...: # Ensure a major tick for each week using (interval=1)
    ...: ax.xaxis.set_major_locator(mdates.WeekdayLocator(interval=1))
    ...: plt.show()

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