or condition in pandas
df2 = df[(df.a != -1) | (df.b != -1)]or condition in pandas
df2 = 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]conditions in pandas dataframe
df.loc[df[‘column name’] condition, ‘new column name’] = ‘value if condition is met’Copyright © 2021 Codeinu
Forgot your account's password or having trouble logging into your Account? Don't worry, we'll help you to get back your account. Enter your email address and we'll send you a recovery link to reset your password. If you are experiencing problems resetting your password contact us
