How to create a Pandas DataFrame from dictionary of dataframes?
This should do it:
import pandas as pddf1 = pd.DataFrame({ "col1":['val1','val3'], "col2":['val2','val3'], "col3":['val3','val5']})df2 = pd.DataFrame({ "col1":['val7','val3'], "col2":['val2','val3'], "col3":['val3','val5']})pd_dct = {"A": df1, "B": df2}# adding the key in for key in pd_dct.keys(): pd_dct[key]['key'] = key # concatenating the DataFramesdf = pd.concat(pd_dct.values())Alternatively, we can also do this in one line with:
pd.concat(pd_dct, axis=0).reset_index(level=0).rename({'level_0':'key'}, axis=1)