panda select rows where column value inferior to
df.loc[df['column_name'] == some_value]
panda select rows where column value inferior to
df.loc[df['column_name'] == some_value]
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]
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