如何对第 1 列中具有相同值的两个或多个 csv 文件的行求和？

Question

I have two csv files which look like this:

csv1.csv:

   COL1      COL2
   Daniel    120
   Max       340 
   Sabrina   5 

csv2.csv:

   COL1      COL2
   Max       120
   Sabrina   40
   Daniel    50
   Sarah     580

And I basically want to merge them so it looks like this:

   COL1      COL2
   Sarah     580
   Max       460
   Daniel    170
   Sabrina   45

It it possible to achieve this in python?

I only found similar questions regarding 1 csv file, so help would be greatly appreciated.

Answer 1

You can try merge . df1 is the DataFrame from csv1 and df2 is the DataFrame from csv2

import pandas as pd # pip install pandas

# setting up the dataframe from you example
d1 = [['Daniel'  ,  120],
['Max'     ,  340], 
['Sabrina' ,  5]]

df1 = pd.DataFrame(d1, columns=['col1', 'col2'])

d2 = [['Max'     ,  120],
['Sabrina' ,  40],
['Daniel'  ,  50],
['Sarah'   ,  580]]

df2 = pd.DataFrame(d2, columns=['col1', 'col2'])


# here comes the part to calculate 
df_out = df1.merge(df2, on='col1', how='outer').fillna(0)
df_out['col2'] = df_out['col2_x'] + df_out['col2_y']

# remove the unnecesary columns
df_out.drop(columns=['col2_x', 'col2_y'], inplace=True)

print(df_out)

      col1  col2
0   Daniel   170
1      Max   460
2  Sabrina    45
3    Sarah   580

Answer 2

Add values in a dictionary, something like this:

with open('csv1.csv') as f,open('csv2.csv') as f2:
    r = csv.reader(f, delimiter=' ')
    dict3 = {x[0]: x[1] for x in r}
    r2 = csv.reader(f2, delimiter=' ')
    for row in r2:
        if 'COL' not in row[1]:
            dict3[row[0]] = int(dict3[row[0]]) + int(row[1])
print(dict3) 

now you just write dict3 in an output file.

with open('output.csv', 'w') as f3:
    please = csv.writer(f3)
    for k, v in dict3.items():
       please.writerow([k + ' ' +str(v)])