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From raju

  • >>> import pandas as pd >>> name = ['foo', 'bar']; date = ['20160824', '20160825']; name_date = pd.DataFrame({'name': name, 'date': date}); name_date
    889 bytes (131 words) - 19:48, 21 November 2017
  • import pandas as pd df = pd.read_csv(sys.stdin)
    1 KB (108 words) - 18:30, 11 July 2018
  • $python -c "import pandas as pd; pd.show_versions()" debian@mercury:~$ python3 -c "import pandas as pd; pd.show_versions()"
    4 KB (593 words) - 22:18, 24 January 2018
  • import pandas as pd for dt in pd.date_range('20191225', '20200101')
    6 KB (948 words) - 23:21, 22 July 2022
  • import pandas as pd epoch = pd.to_datetime('1899-12-30')
    2 KB (258 words) - 20:06, 6 November 2018
  • In [1]: import pandas as pd ...: df = pd.DataFrame({'days': ['sun', 'mon', 'tue', 'wed', 'thu', 'fri', 'sat'], 'num'
    2 KB (247 words) - 14:25, 27 August 2020
  • >>> import pandas as pd >>> a = ['foo', 5, pd.Series()]
    7 KB (978 words) - 18:32, 8 May 2020
  • >>> import pandas as pd >>> df = pd.DataFrame({'a':[x,y], 'tradeid':['usd','eur']})
    2 KB (330 words) - 15:42, 28 April 2020
  • # import pandas as pd import modin.pandas as pd
    14 KB (2,051 words) - 01:30, 30 December 2019
  • >>> import pandas as pd >>> df = pd.DataFrame({'letters': ['a', 'b', 'c', 'd'], 'numbers': [1,2,3,4]})
    102 KB (13,513 words) - 16:32, 15 June 2023
  • import pandas as pd df = pd.read_csv(tmp)
    8 KB (1,214 words) - 20:04, 8 June 2018
  • python -c "import pandas as pd; print(pd.__version__)" to_rename = pd.DataFrame({
    71 KB (10,441 words) - 22:17, 3 January 2024