通过对具有pandas错误的前一列求和来创建新列

import pandas as pd

data = {'A': [1, 2, 'error', 4, 5],
        'B': [6, 7, 8, 9, 10]}
df = pd.DataFrame(data)

new_column = []
for i in range(len(df)):
    try:
        value = int(df['A'][i])
        if i == 0:
            new_column.append(value)
        else:
            new_column.append(value + new_column[i-1])
    except ValueError:
        new_column.append('error')
df['New Column'] = new_column

print(df)