dataframe row
for index, row in df.iterrows():
XXXXXX
pandas insert row
import pandas as pd
data = {'name': ['Somu', 'Kiku', 'Amol', 'Lini'],
'physics': [68, 74, 77, 78],
'chemistry': [84, 56, 73, 69],
'algebra': [78, 88, 82, 87]}
#create dataframe
df_marks = pd.DataFrame(data)
print('Original DataFrame\n------------------')
print(df_marks)
new_row = {'name':'Geo', 'physics':87, 'chemistry':92, 'algebra':97}
#append row to the dataframe
df_marks = df_marks.append(new_row, ignore_index=True)
print('\n\nNew row added to DataFrame\n--------------------------')
print(df_marks)
pandas df by row index
indices = [133, 22, 19, 203, 14, 1]
df_by_indices = df.iloc[indices, :]
add an index column in range dataframe
df = df.loc[df.index.repeat(df['a'])]
df['c'] = df.groupby(level=0).cumcount() + 1
df = df.reset_index(drop=True)
print (df)
a b c
0 1 x 1
1 2 y 1
2 2 y 2
3 3 z 1
4 3 z 2
5 3 z 3
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