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'])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'])creating data frame in python with for loop
df = pd.DataFrame(columns=["A", "B"])
for i in range(2):
this_column = df.columns[i]
df[this_column] = [i, i+1]
print(df)
#OUTPUT
# A B
#0 0 1
#1 1 2python loop through column in dataframe
# Iterate over two given columns only from the dataframe
for column in empDfObj[['Name', 'City']]:
# Select column contents by column name using [] operator
columnSeriesObj = empDfObj[column]
print('Colunm Name : ', column)
print('Column Contents : ', columnSeriesObj.values)Copyright © 2021 Codeinu
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