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  • How to sort a pandas dataFrame by two or more columns?
    Be aware that np lexsort only sorts with numeric values, while pd DataFrame sort_values works with either string or numeric values Using np lexsort with strings will give: TypeError: bad operand type for unary -: 'str'
  • How to sort pandas dataframe by one column - Stack Overflow
    df sort_values(by=['2'], inplace=True) # or df sort_values(by = '2', inplace = True) # or df sort_values('2', inplace = True) If doing the operation in-place is not a requirement, one can assign the change (sort) to a variable: With the same name of the original dataframe, df as df = df sort_values(by=['2'])
  • python - Custom sorting in pandas dataframe - Stack Overflow
    pandas <= 1 0 X One simple method is using the output Series map and Series argsort to index into df using DataFrame iloc (since argsort produces sorted integer positions); since you have a dictionary; this becomes easy
  • Why does my Pandas DataFrame not display new order using `sort_values`?
    df sort_values(['Total Due']) returns a sorted DF, but it doesn't update DF in place So do it explicitly: df = df sort_values(['Total Due']) or df sort_values(['Total Due'], inplace=True) NOTE: the Pandas core team discourages the use of inplace=True parameter because it should be deprecated in the future versions of Pandas
  • python - pandas groupby, then sort within groups - Stack Overflow
    I want to group my dataframe by two columns and then sort the aggregated results within those groups In [167]: df Out[167]: count job source 0 2 sales A 1 4 sales B


















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