Question

我有一个像这样的csv文件：

meshcode2,result
30548625,218.14
30548616,318.75
30548616,404.53
30548616,343.85
30647133,78.43
30647133,125.53
30548615,314.68
30548615,314.68
30548615,264.50
30548615,264.50
30548626,98.03
30548615,166.04
30548615,114.12
30548615,104.67
30548616,470.25

我想找到这个csv文件的中位数并存储在csv文件中，所以我这样做了：

import pandas as pd
import csv
df = pd.read_csv('001_meshcode2_result_sale.csv')
result = df.groupby('meshcode2').median()
with open('result.csv', 'w', newline='') as f:
    writer = csv.writer(f)
    for data in result:
       writer.writerows(data)

当我打开结果文件时，我只收到＆＃34;结果＆＃34;字母，如何将整个结果写入result.csv文件

Answer 1

Simplier是为as_index=False的列添加参数meshcode2，然后是to_csv：

result = df.groupby('meshcode2', as_index=False).median()
print (result)
   meshcode2  result
0   30548615  264.50
1   30548616  374.19
2   30548625  218.14
3   30548626   98.03
4   30647133  101.98

result.to_csv('result.csv', index=False)

如何在python中将结果存储到csv文件中

1 个答案: