how to check datatype of column in dataframe python
df['DataFrame Column'].dtypeshow to check datatype of column in dataframe python
df['DataFrame Column'].dtypespython: check type and ifno of a data frame
df.shape
df.info()
df.dtypes
des = df.describe() # Summary
des_num = df.describe(include=[np.number]) # Include only numerical columns
des_obj = df.describe(include=[np.object]) # Include only string columns
des_obj.transpose()
# Show list of variable / columns in DF
df.columns
# Count number of variables / columns in DF
len(df.columns)
# Count variable
df["myvar"].value_counts()pandas show column types
# df is your pandas dataframe
df.dtypesget columns by type pandas
In [2]: df = pd.DataFrame({'NAME': list('abcdef'),
'On_Time': [True, False] * 3,
'On_Budget': [False, True] * 3})
In [3]: df.select_dtypes(include=['bool'])
Out[3]:
On_Budget On_Time
0 False True
1 True False
2 False True
3 True False
4 False True
5 True False
In [4]: mylist = list(df.select_dtypes(include=['bool']).columns)
In [5]: mylist
Out[5]: ['On_Budget', 'On_Time']Copyright © 2021 Codeinu
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