在Python绘图中显示日期范围

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英文:

show date in ranges in python plot graph

问题

我已经使用以下代码在Python中绘制了一个数据的图表,这是数据:

  1. {'2022-01-30': 50, '2022-01-31': 152, '2022-02-01': 41, '2022-02-02': 50, '2022-02-03': 50, '2022-02-04': 50, '2022-02-05': 50, '2022-02-06': 50, '2022-02-07': 50, '2022-02-08': 50, '2022-02-09': 50, ......., '2022-09-30': 50, }

我使用以下代码创建了该图表:

  1. df = pd.Series(data, name='Quantity').rename_axis('Date').reset_index()
  2. df.plot(kind='scatter', x='Date', y='Quantity')
  3. plt.show()

但是,图表中的日期都被挤在一点上,而不是以我期望的方式显示日期范围,比如2022-01-30、2022-02-28等,或者2022-01-30、2022-03-31等。请问我如何实现这个目标?

英文:

I have plotted a graph of a data in python using the following code, this is the data

  1. {'2022-01-30': 50, '2022-01-31': 152, '2022-02-01': 41, '2022-02-02': 50,'2022-02-03': 50, '2022-02-04': 50,
  2. '2022-02-05': 50, '2022-02-06': 50, '2022-02-07': 50, '2022-02-08': 50, '2022-02-09': 50, ......., '2022-09-30': 50, }
  3. df = pd.Series(data, name='Quantity').rename_axis('Date').reset_index()
  4. df.plot(kind='scatter', x='Date', y='Quantity')
  5. plt.show()

and it gave me the graph but the days which I expected to be in range are all squashed to the point that it was not visible

I expected the date to come out in ranges like 2022-01-30, 2022-02-28, etc or 2022-01-30, 2022-03-31 etc

Please how can i achieve that

答案1

得分: 1

  1. import matplotlib.dates as mdates
  2. ax = df.plot(kind='scatter', x='Date', y='Quantity')

示例 1ax.xaxis.set_major_locator(mdates.DayLocator(interval=3))

示例 2ax.xaxis.set_major_locator(mdates.MonthLocator(bymonthday=-1))

您可以通过阅读matplotlib.dates文档来了解更多信息。

在Python绘图中显示日期范围
在Python绘图中显示日期范围

  1. <details>
  2. <summary>英文:</summary>
  3. You have multiple possibilities:

import matplotlib.dates as mdates

ax = df.plot(kind='scatter', x='Date', y='Quantity')

  1. **Example 1**: `ax.xaxis.set_major_locator(mdates.DayLocator(interval=3))`
  2. [![enter image description here][1]][1]
  3. **Example 2**: `ax.xaxis.set_major_locator(mdates.MonthLocator(bymonthday=-1))`
  4. [![enter image description here][2]][2]
  5. You can know more by reading the [`matplotlib.dates`][3] documentation.
  6. [1]: https://i.stack.imgur.com/BSgvs.png
  7. [2]: https://i.stack.imgur.com/CXieY.png
  8. [3]: https://matplotlib.org/stable/api/dates_api.html
  9. </details>

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  • 本文由 发表于 2023年3月8日 19:20:35
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