fetch row where column is equal to a value pandas
df.loc[df['column_name'] == 'value']fetch row where column is equal to a value pandas
df.loc[df['column_name'] == 'value']new dataframe based on certain row conditions
filterinfDataframe = dfObj[(dfObj['Sale'] > 30) & (dfObj['Sale'] < 33) ]slice dataframe pandas based on condition
# To slice pandas dataframe by condition
frioMurteira = data.loc[(data["POM"] == "Murteira") & (data["TMP"] > 7.2), ["DTM","TMP"]]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
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
