我有一个数据框:
df:
+-----+--------------+-------------------------+------------------------------+----------------------------------------------------+-------------+-------------+-------------+--------------+--------------+---------------------+
| | Unnamed: 0 | country | league | game | home_odds | draw_odds | away_odds | home_score | away_score | datetime |
+=====+==============+=========================+==============================+====================================================+=============+=============+=============+==============+==============+=====================+
| 0 | 0 | Chile | Primera Division | Nublense - A. Italiano | 2.25 | 3.33 | 3.11 | 1 | 0 | 2021-06-08 00:30:00 |
+-----+--------------+-------------------------+------------------------------+----------------------------------------------------+-------------+-------------+-------------+--------------+--------------+---------------------+
| 1 | 1 | China | Jia League | Zibo Cuju - Shaanxi Changan | 11.54 | 4.39 | 1.31 | nan | nan | 2021-06-08 08:00:00 |
+-----+--------------+-------------------------+------------------------------+----------------------------------------------------+-------------+-------------+-------------+--------------+--------------+---------------------+
| 2 | 2 | Algeria | U21 League | Medea U21 - MC Alger U21 | 2.38 | 3.23 | 2.59 | nan | nan | 2021-06-08 09:00:00 |
+-----+--------------+-------------------------+------------------------------+----------------------------------------------------+-------------+-------------+-------------+--------------+--------------+---------------------+
| 3 | 3 | Algeria | U21 League | Skikda U21 - CR Belouizdad U21 | 9.48 | 4.9 | 1.25 | nan | nan | 2021-06-08 09:00:00 |
+-----+--------------+-------------------------+------------------------------+----------------------------------------------------+-------------+-------------+-------------+--------------+--------------+---------------------+
| 4 | 4 | China | Jia League | Zhejiang Professional - Xinjiang Tianshan | 1.2 | 5.92 | 12.18 | nan | nan | 2021-06-08 10:00:00 |
+-----+--------------+-------------------------+------------------------------+----------------------------------------------------+-------------+-------------+-------------+--------------+--------------+---------------------+
我已将 datetime
定义为 datetime
df['datetime'] = pd.to_datetime(df['datetime'])
然后尝试对其进行排序
df.sort_values(by=['datetime'], ascending=True)
但是排序不起作用。
谁能帮我理解为什么?
Please find the entire dataframe here for reference.
附言由于字符限制,我无法在此处粘贴整个数据框。
答案 0 :(得分:1)
我在评论中看到您已经找到了解决方案。在调用 df
后将 sort_values()
复制回自身意味着它的“新”名称是旧名称。
我会将此添加为答案。
df.sort_values(by=['datetime'], ascending=True, inplace=True)
然后它应该进行就地排序,因此您不必将其分配给自身。