username status debt
John pending $1000
Mike pending $0
Daymond cleared $0
How can I change the status of pending to cleared if the status is pending and debt is 0?
You can use
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
You can use 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
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