Answers for "loop through pandas dataframes and find all matching records in second column"

iterate over rows dataframe

df = pd.DataFrame([{'c1':10, 'c2':100}, {'c1':11,'c2':110}, {'c1':12,'c2':120}])
for index, row in df.iterrows():
    print(row['c1'], row['c2'])

Posted by: Guest on May-07-2020

loop through a dataframe column and modify each value

for idx, row in df.iterrows():
    if  df.loc[idx,'Qty'] == 1 and df.loc[idx,'Price'] == 10:
        df.loc[idx,'Buy'] = 1

Posted by: Guest on August-17-2021

Code answers related to "loop through pandas dataframes and find all matching records in second column"