or condition in pandas
df1 = df[(df.a != -1) & (df.b != -1)]or condition in pandas
df1 = df[(df.a != -1) & (df.b != -1)]new dataframe based on certain row conditions
filterinfDataframe = dfObj[(dfObj['Sale'] > 30) & (dfObj['Sale'] < 33) ]new dataframe based on certain row conditions
# Create variable with TRUE if nationality is USA
american = df['nationality'] == "USA"
# Create variable with TRUE if age is greater than 50
elderly = df['age'] > 50
# Select all cases where nationality is USA and age is greater than 50
df[american & elderly]Copyright © 2021 Codeinu
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