Supprimer la ligne de DataFrame Python
df.drop(df.index[-2])
df.drop(df.index[[3, 4]])
df.drop(['row_1', 'row_2'])
df.drop('column_1', axis=1)
df[df.name != 'cell']
JJSSEECC
df.drop(df.index[-2])
df.drop(df.index[[3, 4]])
df.drop(['row_1', 'row_2'])
df.drop('column_1', axis=1)
df[df.name != 'cell']df.drop(df.index[2])df = df.drop(df.columns[[0, 1, 3]], axis=1) # df.columns is zero-based pd.Index df = df[df["column_name"].isin([0, 1, 3, 4])]
# into isin we put the value we want to mantaindf.loc[~((df.Product_Num.isin(df2['Product_Num']))&(df.Price.isin(df2['Price']))),:]
Out[246]:
Product_Num Date Description Price
0 10 1-1-18 FruitSnacks 2.99
1 10 1-2-18 FruitSnacks 2.99
4 10 1-10-18 FruitSnacks 2.99
5 45 1-1-18 Apples 2.99
6 45 1-3-18 Apples 2.99
7 45 1-5-18 Apples 2.99
11 45 1-15-18 Apples 2.99df.drop(['Cochice', 'Pima'])