学习笔记(10):Python数据清洗实战-数据修改和查找

立即学习:https://edu.csdn.net/course/play/26990/361125?utm_source=blogtoedu

df1=pd.read_csv('',dtype=str,encoding='')

按列修改属性：

df1.loc[df['gender']=='0','gender']=='女性'

df1.loc[df['gender']=='1','gender']=='男性'

df1.loc[df['gender']=='2','gender']=='未知'

修改列名：

df1.rename(columns={'原列名':'新列名'},inplace=True)

修改标签：

df1.rename(index={},inplace=True)

df1.iloc[:5]

df1.reset_index(drop=True,inplace=True)

df[df['列名']<10]与df['列名']<10区别

df[(df['']<10) &或 | (****)]--df[~(df['']>10)]

df[''].between(4,10,inclusive=True)

df[''].isin([10,53])

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