conditional row delete pandas
df = df.drop(df[df.score < 50].index)conditional row delete pandas
df = df.drop(df[df.score < 50].index)remove rows from a dataframe that are present in another dataframe?
df.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 2.99Copyright © 2021 Codeinu
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