make a condition statement on column pandas
df['color'] = ['red' if x == 'Z' else 'green' for x in df['Set']]make a condition statement on column pandas
df['color'] = ['red' if x == 'Z' else 'green' for x in df['Set']]or condition in pandas
df1 = df[(df.a != -1) & (df.b != -1)]or condition in pandas
df2 = df[(df.a != -1) | (df.b != -1)]if condition dataframe python
df.loc[df['age1'] - df['age2'] > 0, 'diff'] = df['age1'] - df['age2']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]conditions in pandas dataframe
df.loc[df[‘column name’] condition, ‘new column name’] = ‘value if condition is met’Copyright © 2021 Codeinu
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