在使用 pandas 绘图方法创建的图表上格式化 x 轴 [英] Format x-axis on chart created with pandas plot method
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问题描述
pandas.DataFrame.plot是一种从数据框中绘制数据的便捷方法.但是,我不明白如何使用这种方法格式化轴.例如,
pandas.DataFrame.plot is a convenient method for plotting data from dataframes. However, I don't understand how to format the axes using this method. For example,
import pandas as pd
import datetime
df = pd.DataFrame(index = [datetime.datetime(2016, 7, 2, 0, 0),
datetime.datetime(2016, 8, 6, 0, 0),
datetime.datetime(2016, 9, 13, 0, 0),
datetime.datetime(2016, 10, 26, 0, 0),
datetime.datetime(2016, 11, 2, 0, 0)],
data = {'total' : [5, 3, 1, 0, 2]})
df
输出
total
2016-07-02 5
2016-08-06 3
2016-09-13 1
2016-10-26 0
2016-11-02 2
现在使用熊猫绘图方法绘图:
Now plotting with the pandas plot method:
df.plot(kind='bar')
我希望x轴仅将标签作为月份的三个字母的格式-七月八月九月十月十一月.
I would prefer that the x-axis just have the labels as the three-letter format of month - Jul Aug Sep Oct Nov.
使用pandas plot方法是否可行?还是应该使用matplotlib构建图表?
Is this possible with the pandas plot method or should I build a chart with matplotlib instead?
推荐答案
我发现了将x标签更改为仅月的更简单方法.
I found a simpler way to change the x labels to month only.
import pandas as pd
import datetime
df = pd.DataFrame(index = [datetime.datetime(2016, 7, 2, 0, 0),
datetime.datetime(2016, 8, 6, 0, 0),
datetime.datetime(2016, 9, 13, 0, 0),
datetime.datetime(2016, 10, 26, 0, 0),
datetime.datetime(2016, 11, 2, 0, 0)],
data = {'total' : [5, 3, 1, 0, 2]})
ax = df.plot(kind='bar')
x_labels = df.index.strftime('%b')
ax.set_xticklabels(x_labels)
plt.show()
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