Python 如何测试对象是否是熊猫日期时间索引?
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How do I test if an object is a pandas datetime index?
提问by piRSquared
If I use typeon a DataFramewhich I know has a datetime index, I get:
如果我type在DataFrame我知道有日期时间索引的 a上使用,我会得到:
In [17]: type(df.index)
Out[17]: pandas.tseries.index.DatetimeIndex
but when I test it, I get:
但是当我测试它时,我得到:
In [18]: type(df.index) == 'pandas.tseries.index.DatetimeIndex'
Out[18]: False
I know I assumed the type of type is a string, but I really don't know what else to try, and searching has resulted in nothing.
我知道我假设 type 的类型是字符串,但我真的不知道还能尝试什么,搜索没有结果。
采纳答案by Andy Hayden
You can use isinstanceof the DatetimeIndex class:
您可以使用DatetimeIndex 类的isinstance:
In [11]: dates = pd.date_range('20130101', periods=6)
In [12]: dates
Out[12]:
<class 'pandas.tseries.index.DatetimeIndex'>
[2013-01-01 00:00:00, ..., 2013-01-06 00:00:00]
Length: 6, Freq: D, Timezone: None
In [13]: isinstance(dates, pd.DatetimeIndex)
Out[13]: True
回答by Matthew
What did you import Pandas as?
你导入 Pandas 作为什么?
If you are following the guide in the documentation and did something like:
如果您按照文档中的指南进行操作并执行以下操作:
import pandas as pd
dates = pd.date_range('20130101', periods=6)
type(dates[0])
pandas.tslib.TimestampTimestamp('2013-01-01 00:00:00', tz=None)
type(dates[0]) == pandas.tslib.Timestamp
False
# this throws NameError since you didn't import as pandas
type(dates[0]) == pd.tslib.Timestamp
True
# this works because we imported Pandas as pd
Out of habit I neglected to mention as @M4rtini highlighted that you should not be using a string to compare equivalency.
出于习惯,我忽略了提及,因为@M4rtini 强调您不应该使用字符串来比较等效性。
回答by M4rtini
In [102]: type("asd") == str
Out[102]: True
In [103]: type("asd") == "str"
Out[103]: False
Compare against the object, not a string.
与对象进行比较,而不是字符串。

