pandas 检查数据框是否为布尔类型熊猫
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check if dataframe is of boolean type pandas
提问by curlyreggie
I have a pandas DataFrame as below:
我有一个Pandas数据框如下：
In [108]: df1
Out[108]:
v
t
2014-02-21 10:30:43 False
2014-02-21 10:31:34 False
2014-02-21 10:32:25 False
2014-02-21 10:33:17 False
2014-02-21 10:34:09 False
2014-02-21 10:35:00 False
2014-02-21 10:35:51 False
I need to check if the dtypeof this dataframe is bool. I tried with:
我需要检查dtype这个数据框的bool. 我试过：
In [109]: print isinstance(df1, bool)
False
**It should return **True****
**它应该返回 **True****
How can I do this?
我怎样才能做到这一点？
Reference: check if variable is dataframe
参考：检查变量是否为数据框
采纳答案by EdChum
You can print the dtypesof the columns:
您可以打印dtypes列的：
In [2]:
import pandas as pd
df = pd.DataFrame({'a':[True,False,False]})
df
Out[2]:
a
0 True
1 False
2 False
[3 rows x 1 columns]
In [3]:
df.dtypes
Out[3]:
a bool
dtype: object
In [4]:
df.a.dtypes
Out[4]:
dtype('bool')
So in your case df1.v.dtypesshould print the same output as above
所以在你的情况下df1.v.dtypes应该打印与上面相同的输出
The other thing to note that isinstance(df, bool)will not work as it is a pandas dataframe or more accurately:
另一件需要注意的事情是，isinstance(df, bool)它是一个Pandas数据框或更准确地说是行不通的：
In [7]:
type(df)
Out[7]:
pandas.core.frame.DataFrame
The important thing to note is that dtypesis in fact a numpy.dtypeyou can do this to compare the name of the type with a string but I think isinstanceis clearer and preferable in my opinion:
需要注意的重要一点dtypes是，实际上numpy.dtype您可以这样做来将类型的名称与字符串进行比较，但我认为isinstance在我看来更清晰和更可取：
In [13]:
df.a.dtypes.name == 'bool'
Out[13]:
True
