﻿ Pandas: Join two dataframes along rows - w3resource

# Pandas: Join two dataframes along rows

## Pandas Joining and merging DataFrame: Exercise-1 with Solution

Write a Pandas program to join the two given dataframes along rows and assign all 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
```
```student_data2:
student_id              name  marks
0         S4  Scarlette Fisher    201
1         S5  Carla Williamson    200
2         S6       Dante Morse    198
3         S7    Kaiser William    219
```

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]})

student_data2 = pd.DataFrame({
'student_id': ['S4', 'S5', 'S6', 'S7', 'S8'],
'name': ['Scarlette Fisher', 'Carla Williamson', 'Dante Morse', 'Kaiser William', 'Madeeha Preston'],
'marks': [201, 200, 198, 219, 201]})

print("Original DataFrames:")
print(student_data1)
print("-------------------------------------")
print(student_data2)
print("\nJoin the said two dataframes along rows:")
result_data = pd.concat([student_data1, student_data2])
print(result_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
-------------------------------------
student_id              name  marks
0         S4  Scarlette Fisher    201
1         S5  Carla Williamson    200
2         S6       Dante Morse    198
3         S7    Kaiser William    219

Join the said two dataframes along rows:
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
0         S4  Scarlette Fisher    201
1         S5  Carla Williamson    200
2         S6       Dante Morse    198
3         S7    Kaiser William    219