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 Timestampimport pandas as pdimport seaborn as snsimport matplotlib.pyplot as pltdf = 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。