﻿ Pandas: Reverse order of a given DataFrame - w3resource # Pandas: Reverse order of a given DataFrame

## Pandas: DataFrame Exercise-65 with Solution

Write a Pandas program to reverse order (rows, columns) of a given DataFrame.

Sample Solution :

Python Code :

``````import pandas as pd
df = pd.DataFrame({'W':[68,75,86,80,66],'X':[78,85,96,80,86], 'Y':[84,94,89,83,86],'Z':[86,97,96,72,83]});
print("Original DataFrame")
print(df)
print("\nReverse column order:")
print(df.loc[:, ::-1])
print("\nReverse row order:")
print(df.loc[::-1])
print("\nReverse row order and reset index:")
print(df.loc[::-1].reset_index(drop = True))
``````

Sample Output:

```Original DataFrame
W   X   Y   Z
0  68  78  84  86
1  75  85  94  97
2  86  96  89  96
3  80  80  83  72
4  66  86  86  83

Reverse column order:
Z   Y   X   W
0  86  84  78  68
1  97  94  85  75
2  96  89  96  86
3  72  83  80  80
4  83  86  86  66

Reverse row order:
W   X   Y   Z
4  66  86  86  83
3  80  80  83  72
2  86  96  89  96
1  75  85  94  97
0  68  78  84  86

Reverse row order and reset index:
W   X   Y   Z
0  66  86  86  83
1  80  80  83  72
2  86  96  89  96
3  75  85  94  97
4  68  78  84  86
```

Python-Pandas Code Editor:

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## Python: Tips of the Day

Join Strings in an Iterable:

```>>> words = ('Hello', 'Python', 'Programmers')
>>> '!'.join(words)
'Hello!Python!Programmers'
>>> words_dict = {0: 'zero', 1: 'one', 2: 'two', 3: 'three'}
>>> '&'.join(words_dict.values())
'zero&one&two&three'
```