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# converting the string to datetime format
df['Dates'] = pd.to_datetime(df['Dates'], format='%y%m%d')
# printing dataframe
print(df)
print()
print(df.dtypes)
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var date= new Date(`2017-11-09T05:36:00.834Z`);
var dd = date.getDate();
var mm = date.getMonth()+1; //January is 0!
var yyyy = date.getFullYear();
if(dd<10){
dd='0'+dd;
}
if(mm<10){
mm='0'+mm;
}
var date= dd+'/'+mm+'/'+yyyy;
console.log(date);//it logs "09/11/2017"
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var formattedDate = "2017-11-09T05:36:00.834Z"
var result = formattedDate.replace(/^(\d{4})-(\d{2})-(\d{2}).*$/, "$3/$2/$1");
console.log (result);
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