Pandas: Appending rows to a DataFrame

Pandas Joining and merging DataFrame: Exercise-3 with Solution

Write a Pandas program to append rows to an existing DataFrame and display the combined data.

Test Data:

student_data1
  student_id              name  marks
0         S1  Danniella Fenton    200
1         S2      Ryder Storey    210
2         S3      Bryce Jensen    190
3         S4         Ed Bernal    222
4         S5       Kwame Morin    199

New Row(s)
student_id                  S6
name          Scarlette Fisher
marks                      205
dtype: object

Sample Solution:

Python Code :

import pandas as pd
student_data1 = pd.DataFrame({
        'student_id': ['S1', 'S2', 'S3', 'S4', 'S5'],
         'name': ['Danniella Fenton', 'Ryder Storey', 'Bryce Jensen', 'Ed Bernal', 'Kwame Morin'], 
        'marks': [200, 210, 190, 222, 199]})

s6 = pd.Series(['S6', 'Scarlette Fisher', 205], index=['student_id', 'name', 'marks'])
print("Original DataFrames:")
print(student_data1)
print("\nNew Row(s)")
print(s6)
combined_data = student_data1.append(s6, ignore_index = True)
print("\nCombined Data:")
print(combined_data)

Sample Output:

 Original DataFrames:
  student_id              name  marks
0         S1  Danniella Fenton    200
1         S2      Ryder Storey    210
2         S3      Bryce Jensen    190
3         S4         Ed Bernal    222
4         S5       Kwame Morin    199

New Row(s)
student_id                  S6
name          Scarlette Fisher
marks                      205
dtype: object

Combined Data:
  student_id              name  marks
0         S1  Danniella Fenton    200
1         S2      Ryder Storey    210
2         S3      Bryce Jensen    190
3         S4         Ed Bernal    222
4         S5       Kwame Morin    199
5         S6  Scarlette Fisher    205          

Python Code Editor:

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