19 июн. 2012 г. · How about x.add(y, fill_value=0) ? import pandas as pd df1 = pd.DataFrame([(1,2),(3,4),(5,6)], columns=['a','b']) Out: a b 0 1 2 1 3 4 2 5 ...

5 мар. 2018 г. · I think need set_index for both DataFrame s, add and last reset_index : df = df1.set_index('Name').add(df2.set_index('Name'), ...

17 авг. 2021 г. · Try this: df = pd.concat([df1, df2]).groupby(['dt']).sum().reset_index() print(df). PS: This is ensure all datetimes to exist.

31 мар. 2022 г. · The indexes are not aligned, so pandas won't sum a1 with b1 . You need to align the index and there are many different ways/.

28 июл. 2022 г. · Try using DataFrame.add() df = df1.add(df2, fill_value=0). dataframe matches your output but may need to fix dtypes you can use

18 авг. 2019 г. · Using merge , query , GroupBy.sum : mrg = df1.merge(df2, left_on='Product1', right_on='Product2') mrg.query('Date2 ...

25 февр. 2022 г. · If same number of rows and same indices simple subtract and then use sum : result = (df1['col1'] * df2['col3']).sum().

15 мая 2019 г. · Pandas- merging two dataframe by sum the values of columns and index · 3. Use df_sum = df1+df2 . – Space Impact. Commented May 15, 2019 at 4:25.

19 сент. 2019 г. · I have two dataframes that I want to sum along the y axis, conditionally. For example: df_1. a b value 1 ...

11 мая 2021 г. · Hope this solves your problem. I have modified Nan as 0. import pandas as pd df1 = pd.DataFrame([["tom", 1, 2, 3], ["bob", 3, 4, 5], ["ali", ...