import pandas

df = pandas.DataFrame(columns=['to','fr','ans'])

df.to = [pandas.Timestamp('2014-01-24 13:03:12.050000'), pandas.Timestamp('2014-01-27 11:57:18.240000'), pandas.Timestamp('2014-01-23 10:07:47.660000')]

df.fr = [pandas.Timestamp('2014-01-26 23:41:21.870000'), pandas.Timestamp('2014-01-27 15:38:22.540000'), pandas.Timestamp('2014-01-23 18:50:41.420000')]

(df.fr-df.to).astype('timedelta64[h]')

# credit to Stack Overflow user in the source link

import pandas as pd 

# df is your pandas dataframe

# if already datetime64 you don't need to use to_datetime

​

df['A'] = pd.to_datetime(df['A'])

df['B'] = pd.to_datetime(df['B']) 

​

df['diff'] =  df['A'] - df['B'] # difference in days

interface Example {

  percentage: number; // Any number

}

​

function validateRange(val: number, min: number, max: number): boolean {

  return val >= min && val <= max;

}

​

// Example usage

const data: Example = { percentage: 75 };

​

if (!validateRange(data.percentage, 0, 100)) {

  throw new Error("Percentage must be between 0 and 100");

}