Pandas use and operator in LOC function - Stack Overflow
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loc phat 88 I've been exploring how to optimize my code and ran across pandas .at method. Per the documentation Fast label-based scalar accessor Similarly to loc, at provides label based scalar lookups. You can.
loc phat 88
8 loc retrieves only the rows that matches the condition. where returns the whole dataframe, replacing the rows that don't match the condition (NaN by default).
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i want to have 2 conditions in the loc function but the && or and operators dont seem to work.: df: business_id ratings review_text xyz 2 'very bad' xyz 1 '