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[英]How can I change the values in a dataframe column based off the index of a list?
[英]Get Dataframe index based off of list of columns and values
我正在嘗試返回 Name Column 為“Mike”、State Column 為“Operational”/“Broken”、Likelihood Column 為“High”且 Status Column 為“Open”/“Closed”的索引。 此示例的索引應為 1 和 2。
import pandas as pd
df = pd.DataFrame(columns=['Name', 'State', 'Likelihood', 'Status']
df['Name'] = ['John', 'Mike', 'Mike', 'Jeff']
df['State'] = ['Operational', 'Operational', 'Broken', 'Operational' ]
df['Likelihood'] = ['High', 'High', 'Low', 'High']
df['Status'] = ['Open', 'Closed', 'Open', 'Closed']
print(df.index[df[['Name', 'State', 'Likelihood', 'Status']].isin(['Mike','Operational','Broken', 'High', 'Low' 'Open', ]).all(axis=1)])
目前沒有打印索引 1 和 2 的運氣...目前只打印 2
你可以這樣做
print(df[df.Name.isin(['Mike'])& (df.State.isin(['Operational','Broken'])| df.Likelihood.isin(['High','Low'])| df.Status.isin(['Open']))])
Output
Name State Likelihood Status
Mike Operational High Closed
Mike Broken Low Open
在 dataframe 中以干凈的方式執行多個 boolean 掩碼的一種方法是:
df[
df['Name'].eq('Mike') &
df['State'].isin(['Operational', 'Broken']) &
df['Likelihood'].isin(['High', 'Low']) &
df['Status'].isin(['Open', 'Closed'])
]
Output:
Name State Likelihood Status
1 Mike Operational High Closed
2 Mike Broken Low Open
如果你想要索引:
df[
df['Name'].eq('Mike') &
df['State'].isin(['Operational', 'Broken']) &
df['Likelihood'].isin(['High', 'Low']) &
df['Status'].isin(['Open', 'Closed'])
].index.tolist()
Output:
[1, 2]
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