将 Xticks 频率设置为数据帧索引 [英] Set Xticks frequency to dataframe index

问题描述

我目前有一个数据框，它以 1990 年到 2014 年(25 行)的年份作为索引.我希望我的情节显示所有年份的 X 轴.我正在使用 add_subplot，因为我计划在这个图中有 4 个图(它们都具有相同的 X 轴).

I currently have a dataframe that has as an index the years from 1990 to 2014 (25 rows). I want my plot to have the X axis with all the years showing. I'm using add_subplot as I plan to have 4 plots in this figure (all of them with the same X axis).

要创建数据框:

import pandas as pd
import numpy as np

index = np.arange(1990,2015,1)
columns = ['Total Population','Urban Population']

pop_plot = pd.DataFrame(index=index, columns=columns)
pop_plot = df_.fillna(0)

pop_plot['Total Population'] = np.arange(150,175,1)
pop_plot['Urban Population'] = np.arange(50,125,3)

我目前拥有的代码:

fig = plt.figure(figsize=(10,5))
ax1 = fig.add_subplot(2,2,1, xticklabels=pop_plot.index)
plt.subplot(2, 2, 1)

plt.plot(pop_plot)
legend = plt.legend(pop_plot, bbox_to_anchor=(0.1, 1, 0.8, .45), loc=3, ncol=1, mode='expand')
legend.get_frame().set_alpha(0)

ax1.set_xticks(range(len(pop_plot.index)))

这是我得到的情节:

当我评论 set_xticks 时，我得到以下图:

When I comment the set_xticks I get the following plot:

#ax1.set_xticks(range(len(pop_plot.index)))

我尝试了在这里找到的几个答案，但都没有取得多大成功.

I've tried a couple of answers that I found here, but I didn't have much success.

提前致谢.

推荐答案

不清楚 ax1.set_xticks(range(len(pop_plot.index))) 应该用于什么.它会将刻度设置为数字 0、1、2、3 等，而您的绘图范围应从 1990 年到 2014 年.

It's not clear what ax1.set_xticks(range(len(pop_plot.index))) should be used for. It will set the ticks to the numbers 0,1,2,3 etc. while your plot should range from 1990 to 2014.

相反，您希望将刻度设置为数据的数量:

Instead, you want to set the ticks to the numbers of your data:

ax1.set_xticks(pop_plot.index)

完整更正示例:

import matplotlib.pyplot as plt
import pandas as pd
import numpy as np

index = np.arange(1990,2015,1)
columns = ['Total Population','Urban Population']

pop_plot = pd.DataFrame(index=index, columns=columns)

pop_plot['Total Population'] = np.arange(150,175,1)
pop_plot['Urban Population'] = np.arange(50,125,3)


fig = plt.figure(figsize=(10,5))
ax1 = fig.add_subplot(2,2,1)

ax1.plot(pop_plot)
legend = ax1.legend(pop_plot, bbox_to_anchor=(0.1, 1, 0.8, .45), loc=3, ncol=1, mode='expand')
legend.get_frame().set_alpha(0)

ax1.set_xticks(pop_plot.index)
plt.show()

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