Reputation:
This code constructs a simple DataFrame
df = pd.DataFrame([[0, 1], [0, 1], [0, 1]])
df.dtypes
the output is
0 int64
1 int64
dtype: object
the last line of the output is dtype: object
, what does that mean, whose type it is?
Upvotes: 10
Views: 723
Reputation: 863166
It means Series
returned of df.dtypes
has dtype object
, because at least obne types of Series is object
here <class 'numpy.dtype'>
:
s1 = df.dtypes
print (s1.dtype)
object
print (type(s1))
<class 'pandas.core.series.Series'>
If want test of types each element of Series
:
print (s1.apply(type))
MPG <class 'numpy.dtype'>
Cylinders <class 'numpy.dtype'>
Displacement <class 'numpy.dtype'>
Horsepower <class 'numpy.dtype'>
Weight <class 'numpy.dtype'>
Acceleration <class 'numpy.dtype'>
Year <class 'numpy.dtype'>
Origin <class 'pandas.core.dtypes.dtypes.CategoricalD...
dtype: object
If test only integer Series
it return int64
and also is displayed this information under data of Series
:
s = pd.Series([1,2])
print (s)
0 1
1 2
dtype: int64
print (s.dtype)
int64
Upvotes: 2