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convert column in pandas to datetime
df['col'] = pd.to_datetime(df['col'])
Source: stackoverflow.com
convert column to datetime format python
df['Dates'] = pd.to_datetime(df['Dates'], format='%y%m%d')
df['Date'] = df['Date'].astype('datetime64[ns]')
dtype = pd.SparseDtype(np.dtype('datetime64[ns]'))
series = pd.Series(df.date, dtype=dtype)
df['date']=np.array(series)
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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