convert column in pandas to datetime
df['col'] = pd.to_datetime(df['col'])
convert column in pandas to datetime
df['col'] = pd.to_datetime(df['col'])
change dataframe column type
>>> df.astype({'col1': 'int32'}).dtypes
col1 int32
col2 int64
dtype: object
pandas astype datetime
# converting the string to datetime format
df['Dates'] = pd.to_datetime(df['Dates'], format='%y%m%d')
# printing dataframe
print(df)
print(df.dtypes)
convert a number column into datetime pandas
# convert the 'Date' column to datetime format
df['Date']= pd.to_datetime(df['Date'])
# Check the format of 'Date' column
df.info()
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