top of page
Search
luforlecicong

Taj Company Quran Pak Download Pdf [March-2022]







docx I've changed my code as df = pd.read_csv('sample.csv', engine='python') df.columns = [col for col in df.columns if col!= "Col1"] df.rename(columns = {'Col1': 'Last_Name', 'Col2': 'First_Name'}, inplace=True) df.drop(df.index, inplace=True) df.columns = ['Col1','Col2'] df.index = pd.to_datetime(df.index) print(df) A: You can do it in two steps: import pandas as pd df = pd.DataFrame({'Col1':['A1', 'A2', 'A3', 'A4', 'A5', 'A6', 'A7', 'A8', 'A9'], 'Col2':['B1', 'B2', 'B3', 'B4', 'B5', 'B6', 'B7', 'B8', 'B9']}, index=pd.to_datetime(['2017-01-01', '2017-01-02', '2017-01-03', '2017-01-04', '2017-01-05', '2017-01-06', '2017-01-07', '2017-01-08', '2017-01-09']), columns=['Col1','Col2']) Col1 Col2 2017-01-01 B1 B2 2017-01-02 A2 B2 2017-01-03 A3 B2 2017-01-04 A4 B2 2017-01-05 A5 B2 2017-01-06 A6 B2 2017-01-07 A7 B2 2017-01-08 A8 B2 2017


Related links:

2 views0 comments

Recent Posts

See All

Comments


bottom of page