AttributeError: Can only use .dt accessor with datetimelike values but cells contain date time
AttributeError: Can only use .dt accessor with datetimelike values but cells contain date time
我在使用Pandas时遇到如下错误。我在 Whosebug 上寻找其他解决方案，但他们没有解决我的错误。
代码：
import pandas as pd
df = pd.read_csv("my_csv_content_below.csv")
df["timestamp"] = pd.to_datetime(df["timestamp"])
df["timestamp"] = df["timestamp"].dt.tz_convert(timezone_for_plot)
错误：
Traceback (most recent call last):
File "<input>", line 1, in <module>
File ".../venv/lib/python3.6/site-packages/pandas/core/generic.py", line 5137, in __getattr__
return object.__getattribute__(self, name)
File ".../venv/lib/python3.6/site-packages/pandas/core/accessor.py", line 187, in __get__
accessor_obj = self._accessor(obj)
File ".../venv/lib/python3.6/site-packages/pandas/core/indexes/accessors.py", line 480, in __new__
raise AttributeError("Can only use .dt accessor with datetimelike values")
AttributeError: Can only use .dt accessor with datetimelike values
数据帧：
>>> df["timestamp"]
0 2021-09-01 04:59:46+00:00
1 2021-09-01 04:59:46+00:00
2 2021-09-01 04:59:37+00:00
3 2021-09-01 04:59:37+00:00
4 2021-09-01 04:59:24+00:00
...
1418 2021-09-01 04:56:50-04:00
1419 2021-09-01 04:56:25-04:00
1420 2021-09-01 04:56:24-04:00
1421 2021-09-01 04:56:14-04:00
1422 2021-09-01 04:56:14-04:00
Name: timestamp, Length: 1423, dtype: object
数据类型：
>>> from datetime import datetime
>>> assert all([type(x) is datetime for x in df["timestamp"]])
True
可以下载存储为 CSV 格式的 DataFrame here。这是供将来参考的示例：
,timestamp
0,2021-09-01 04:59:46+00:00
1,2021-09-01 04:59:46+00:00
2,2021-09-01 04:59:37+00:00
3,2021-09-01 04:59:37+00:00
4,2021-09-01 04:59:24+00:00
5,2021-09-01 04:59:24+00:00
6,2021-09-01 04:59:14+00:00
7,2021-09-01 04:59:14+00:00
8,2021-09-01 04:59:03+00:00
9,2021-09-01 04:59:03+00:00
...
解决方法是添加utc=True如下：
import pandas as pd
df = pd.read_csv("my_csv_content_below.csv")
df["timestamp"] = pd.to_datetime(df["timestamp"], utc=True)
df["timestamp"] = df["timestamp"].dt.tz_convert(timezone_for_plot)
我在使用Pandas时遇到如下错误。我在 Whosebug 上寻找其他解决方案，但他们没有解决我的错误。
代码：
import pandas as pd
df = pd.read_csv("my_csv_content_below.csv")
df["timestamp"] = pd.to_datetime(df["timestamp"])
df["timestamp"] = df["timestamp"].dt.tz_convert(timezone_for_plot)
错误：
Traceback (most recent call last):
File "<input>", line 1, in <module>
File ".../venv/lib/python3.6/site-packages/pandas/core/generic.py", line 5137, in __getattr__
return object.__getattribute__(self, name)
File ".../venv/lib/python3.6/site-packages/pandas/core/accessor.py", line 187, in __get__
accessor_obj = self._accessor(obj)
File ".../venv/lib/python3.6/site-packages/pandas/core/indexes/accessors.py", line 480, in __new__
raise AttributeError("Can only use .dt accessor with datetimelike values")
AttributeError: Can only use .dt accessor with datetimelike values
数据帧：
>>> df["timestamp"]
0 2021-09-01 04:59:46+00:00
1 2021-09-01 04:59:46+00:00
2 2021-09-01 04:59:37+00:00
3 2021-09-01 04:59:37+00:00
4 2021-09-01 04:59:24+00:00
...
1418 2021-09-01 04:56:50-04:00
1419 2021-09-01 04:56:25-04:00
1420 2021-09-01 04:56:24-04:00
1421 2021-09-01 04:56:14-04:00
1422 2021-09-01 04:56:14-04:00
Name: timestamp, Length: 1423, dtype: object
数据类型：
>>> from datetime import datetime
>>> assert all([type(x) is datetime for x in df["timestamp"]])
True
可以下载存储为 CSV 格式的 DataFrame here。这是供将来参考的示例：
,timestamp
0,2021-09-01 04:59:46+00:00
1,2021-09-01 04:59:46+00:00
2,2021-09-01 04:59:37+00:00
3,2021-09-01 04:59:37+00:00
4,2021-09-01 04:59:24+00:00
5,2021-09-01 04:59:24+00:00
6,2021-09-01 04:59:14+00:00
7,2021-09-01 04:59:14+00:00
8,2021-09-01 04:59:03+00:00
9,2021-09-01 04:59:03+00:00
...
解决方法是添加utc=True如下：
import pandas as pd
df = pd.read_csv("my_csv_content_below.csv")
df["timestamp"] = pd.to_datetime(df["timestamp"], utc=True)
df["timestamp"] = df["timestamp"].dt.tz_convert(timezone_for_plot)