﻿ Pandas Practice Set-1: Get randomly sample rows from diamonds DataFrame - w3resource # Pandas Practice Set-1: Get randomly sample rows from diamonds DataFrame

## Pandas Practice Set-1: Exercise-62 with Solution

Write a Pandas program to get randomly sample rows from diamonds DataFrame.

Sample Solution:

Python Code:

``````import pandas as pd
print("Original Dataframe:")
print("\nSample 5 rows from the DataFrame without replacement:")
print(diamonds.sample(n=3))
``````

Sample Output:

```Original Dataframe:
carat      cut color clarity  depth  table  price     x     y     z
0   0.23    Ideal     E     SI2   61.5   55.0    326  3.95  3.98  2.43
1   0.21  Premium     E     SI1   59.8   61.0    326  3.89  3.84  2.31
2   0.23     Good     E     VS1   56.9   65.0    327  4.05  4.07  2.31
3   0.29  Premium     I     VS2   62.4   58.0    334  4.20  4.23  2.63
4   0.31     Good     J     SI2   63.3   58.0    335  4.34  4.35  2.75

Sample 5 rows from the DataFrame without replacement:
carat        cut color clarity  ...   price     x     y     z
44856   0.50  Very Good     D     VS2  ...    1627  5.05  5.08  3.21
30088   0.32      Ideal     H     VS1  ...     720  4.42  4.41  2.73
48144   0.70  Very Good     J     VS2  ...    1940  5.62  5.59  3.54

[3 rows x 10 columns]
```

Python Code Editor:

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## Python: Tips of the Day

Merges two or more lists into a list of lists, combining elements from each of the input lists based on their positions

Example:

```def tips_merge(*args, fill_value=None):
max_length = max([len(lst) for lst in args])
result = []
for i in range(max_length):
result.append([
args[k][i] if i < len(args[k])
else fill_value for k in range(len(args))
])
return result
print(tips_merge(['x', 'y'], [1, 2], [True, False]))
print(tips_merge(['x'], [1, 2], [True, False]))
print(tips_merge(['x'], [1, 2], [True, False], fill_value = '_'))
```

Output:

```[['x', 1, True], ['y', 2, False]]
[['x', 1, True], [None, 2, False]]
[['x', 1, True], ['_', 2, False]]
```