﻿ Pandas Practice Set-1: Read rows 0 through 2 (inclusive), columns ‘color’ through ‘price’ (inclusive) of diamonds DataFrame - w3resource

Pandas Practice Set-1: Read rows 0 through 2 (inclusive), columns ‘color’ through ‘price’ (inclusive) of diamonds DataFrame

Pandas Practice Set-1: Exercise-53 with Solution

Write a Pandas program to read rows 0 through 2 (inclusive), columns ‘color’ through ‘price’ (inclusive) of diamonds DataFrame.

Sample Solution:

Python Code:

``````import pandas as pd
print("Original Dataframe:")
print("\nRows 0 through 2 (inclusive), columns ‘color’ and ‘price’:")
print(diamonds.loc[0:2, 'color':'price'])
``````

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

Rows 0 through 2 (inclusive), columns ‘color’ and ‘price’:
color clarity  depth  table  price
0     E     SI2   61.5   55.0    326
1     E     SI1   59.8   61.0    326
2     E     VS1   56.9   65.0    327
```

Python Code Editor:

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Python: Tips of the Day

Python: The Zip() Function

```>>> students = ('John', 'Mary', 'Mike')
>>> ages = (15, 17, 16)
>>> scores = (90, 88, 82, 17, 14)
>>> for student, age, score in zip(students, ages, scores):
...     print(f'{student}, age: {age}, score: {score}')
...
John, age: 15, score: 90
Mary, age: 17, score: 88
Mike, age: 16, score: 82
>>> zipped = zip(students, ages, scores)
>>> a, b, c = zip(*zipped)
>>> print(b)
(15, 17, 16)
```