Given a pandas dataframe, we have to change multiple columns to datetime.ByPranit SharmaLast updated : October 03, 2023 Pandas is a special tool that allows us to perform complex manipulations of data effectively and efficiently. Inside pandas, we mostly deal with a dataset in the form of Dat...
importpandasaspdts=pd.Timestamp.today()df=pd.DataFrame({"A": [ts]})print(df.dtypes)# B now has datetime64[us] dtypedf["B"]=tsprint(df.dtypes)# A remains datetime64[ns] dtypedf.loc[:,"A"]=pd.Timestamp.today()print(df.dtypes)# A now changes to datetime64[us] dtypedf["A"]=...