如何在图表上漂亮地打印标签

Question

我有这个数据框：{'date': {0: Timestamp('2019-10-31 00:00:00'),  1: Timestamp('2019-11-30 00:00:00'),  2: Timestamp('2019-12-31 00:00:00'),  3: Timestamp('2020-01-31 00:00:00'),  4: Timestamp('2020-02-29 00:00:00'),  5: Timestamp('2020-03-31 00:00:00'),  6: Timestamp('2020-04-30 00:00:00'),  7: Timestamp('2020-05-31 00:00:00'),  8: Timestamp('2020-06-30 00:00:00'),  9: Timestamp('2020-07-31 00:00:00'),  10: Timestamp('2020-08-31 00:00:00')}, 'rate': {0: 100.0,  1: 99.04595078851037,  2: 101.09797599729458,  3: 102.29581878702609,  4: 104.72409825791058,  5: 109.45297539163114,  6: 118.24943699089361,  7: 119.65432196709045,  8: 117.82108184647535,  9: 118.6223497519237,  10: 120.32838345607335}}当我绘制它时，我的 x 轴被堵塞了如何打印它以便在 x 轴上获得月份名称和年份。例如 11 月 19 日。我用这个来绘制chart = sns.lineplot('date', 'rate', data=cdf,marker="o")如果我添加更多数据点，即使我更改大小，它也不会显示它们：数据：{'date': {0: Timestamp('2019-01-31 00:00:00'),  1: Timestamp('2019-02-28 00:00:00'),  2: Timestamp('2019-03-31 00:00:00'),  3: Timestamp('2019-04-30 00:00:00'),  4: Timestamp('2019-05-31 00:00:00'),  5: Timestamp('2019-06-30 00:00:00'),  6: Timestamp('2019-07-31 00:00:00'),  7: Timestamp('2019-08-31 00:00:00'),  8: Timestamp('2019-09-30 00:00:00'),  9: Timestamp('2019-10-31 00:00:00'),  10: Timestamp('2019-11-30 00:00:00'),  11: Timestamp('2019-12-31 00:00:00'),  12: Timestamp('2020-01-31 00:00:00'),  13: Timestamp('2020-02-29 00:00:00'),  14: Timestamp('2020-03-31 00:00:00'),  15: Timestamp('2020-04-30 00:00:00'),  16: Timestamp('2020-05-31 00:00:00'),  17: Timestamp('2020-06-30 00:00:00'),  18: Timestamp('2020-07-31 00:00:00')}, 'rate': {0: 100.0,  1: 98.1580633244672,  2: 102.03029115707123,  3: 107.12429902683576,  4: 112.60187555657997,  5: 108.10306860500229,  6: 105.35473845070196,  7: 105.13286204895526,  8: 106.11760178061557,  9: 107.76819930852,

Answer 1

from pandas import Timestamp

import pandas as pd

import seaborn as sns

import matplotlib.pyplot as plt

df = pd.DataFrame(

                 {'date':

                         {0: Timestamp('2019-10-31 00:00:00'),

                          1: Timestamp('2019-11-30 00:00:00'),

                          2: Timestamp('2019-12-31 00:00:00'),

                          3: Timestamp('2020-01-31 00:00:00'),

                          4: Timestamp('2020-02-29 00:00:00'),

                          5: Timestamp('2020-03-31 00:00:00'),

                          6: Timestamp('2020-04-30 00:00:00'),

                          7: Timestamp('2020-05-31 00:00:00'),

                          8: Timestamp('2020-06-30 00:00:00'),

                          9: Timestamp('2020-07-31 00:00:00'),

                          10: Timestamp('2020-08-31 00:00:00')},

                 'rate':

                         {0: 100.0,

                          1: 99.04595078851037,

                          2: 101.09797599729458,

                          3: 102.29581878702609,

                          4: 104.72409825791058,

                          5: 109.45297539163114,

                          6: 118.24943699089361,

                          7: 119.65432196709045,

                          8: 117.82108184647535,

                          9: 118.6223497519237,

                          10: 120.32838345607335}})

df['datelabel'] = df['date'].apply(lambda x: x.strftime('%b %d'))

chart = sns.lineplot('date', 'rate', data=df,marker="o")

chart.set_xticklabels(df.datelabel, rotation=45)

plt.show()

这是一种方法：构建一个 lambda 函数，将 strftime 与我们的目标表示应用于日期中的每条记录。

%b - 月份作为区域设置的缩写名称。
%d - 月份中的第几天，以零填充的十进制数字。

我们可以将其保存为一组参考标签，通过 xticklabels 应用于图表。

此外，您可以使用旋转参数旋转标签。