根据条件更改单元格值

Question

username     status      debt
 John        pending     $1000
 Mike        pending     $0
 Daymond     cleared     $0

如果状态为待处理且债务为 0，如何将待处理状态更改为已清除？

Answer 1

您可以使用

m = df['status'].eq('pending') & df['debt'].eq('$0')

df.loc[m, 'status'] = 'cleared'
# or
df['status'] = df['status'].mask(m, 'cleared')
# or
df['status'] = np.where(m, 'cleared', df['status'])

print(df)

  username   status   debt
0     John  pending  $1000
1     Mike  cleared     $0
2  Daymond  cleared     $0

Answer 2

您可以使用panda.loc 。

df.loc[((df["status"] == 'pending') & (df["debt"] == '$0')), 'status'] = 'cleard'
print(df)

---

  username   status   debt
0     John  pending  $1000
1     Mike  cleared     $0
2  Daymond  cleared     $0