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Pandas align or reindex


Add one row to pandas DataFrameSelecting multiple columns in a pandas dataframeRenaming columns in pandasAdding new column to existing DataFrame in Python pandasDelete column from pandas DataFrame by column name“Large data” work flows using pandasHow to iterate over rows in a DataFrame in Pandas?Select rows from a DataFrame based on values in a column in pandasGet list from pandas DataFrame column headersPandas reindex a MultiIndex dataframe






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0















I want to use one of dataframes with multiindex like a dictionary. But these dataframes have different index length.
To fill in values from one to another dataframes we should use align with some 'join' parameter like this:



Dataframe1= df_with_values.align(Dataframe1,join='right')[0]


But sometimes I see wrong results (in case of not sorted index for example: the forms are correct but the filled values ​​are incorrect). And in this case I used the reindex method for dataframe with values to fill like in following code example:



Dataframe1= df_with_values.reindex(Dataframe1.index)


Which way to assign is more correct and pythonic?










share|improve this question




























    0















    I want to use one of dataframes with multiindex like a dictionary. But these dataframes have different index length.
    To fill in values from one to another dataframes we should use align with some 'join' parameter like this:



    Dataframe1= df_with_values.align(Dataframe1,join='right')[0]


    But sometimes I see wrong results (in case of not sorted index for example: the forms are correct but the filled values ​​are incorrect). And in this case I used the reindex method for dataframe with values to fill like in following code example:



    Dataframe1= df_with_values.reindex(Dataframe1.index)


    Which way to assign is more correct and pythonic?










    share|improve this question
























      0












      0








      0








      I want to use one of dataframes with multiindex like a dictionary. But these dataframes have different index length.
      To fill in values from one to another dataframes we should use align with some 'join' parameter like this:



      Dataframe1= df_with_values.align(Dataframe1,join='right')[0]


      But sometimes I see wrong results (in case of not sorted index for example: the forms are correct but the filled values ​​are incorrect). And in this case I used the reindex method for dataframe with values to fill like in following code example:



      Dataframe1= df_with_values.reindex(Dataframe1.index)


      Which way to assign is more correct and pythonic?










      share|improve this question














      I want to use one of dataframes with multiindex like a dictionary. But these dataframes have different index length.
      To fill in values from one to another dataframes we should use align with some 'join' parameter like this:



      Dataframe1= df_with_values.align(Dataframe1,join='right')[0]


      But sometimes I see wrong results (in case of not sorted index for example: the forms are correct but the filled values ​​are incorrect). And in this case I used the reindex method for dataframe with values to fill like in following code example:



      Dataframe1= df_with_values.reindex(Dataframe1.index)


      Which way to assign is more correct and pythonic?







      python-3.x pandas dataframe






      share|improve this question













      share|improve this question











      share|improve this question




      share|improve this question










      asked Mar 23 at 13:05









      EugenSEugenS

      287




      287






















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