﻿ Pandas Practice Set-1: Calculate count, minimum, maximum price for each cut of diamonds DataFrame - w3resource # Pandas Practice Set-1: Calculate count, minimum, maximum price for each cut of diamonds DataFrame

## Pandas Practice Set-1: Exercise-29 with Solution

Write a Pandas program to calculate count, minimum, maximum price for each cut of diamonds DataFrame.

Sample Solution:

Python Code:

``````import pandas as pd
print("Original Dataframe:")
print("\nCount, minimum, maximum  price for each cut of diamonds DataFrame:")
print(diamonds.groupby('cut').price.agg(['count', 'min', 'max']))
``````

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

Count, minimum, maximum  price for each cut of diamonds DataFrame:
count  min    max
cut
Fair        1610  337  18574
Good        4906  327  18788
Ideal      21551  326  18806
Very Good  12082  336  18818
```

Python Code Editor:

Have another way to solve this solution? Contribute your code (and comments) through Disqus.

What is the difficulty level of this exercise?

﻿

## Python: Tips of the Day

Python: Use Enumerate() In for Loops

```>>> students = ('John', 'Mary',  'Mike')
>>> for i, student in enumerate(students):
...     print(f'Iteration:  {i}, Student: {student}')
...
Iteration: 0, Student: John
Iteration: 1, Student: Mary
Iteration: 2, Student: Mike
>>> for i, student in enumerate(students,  35001):
...      print(f'Student Name: {student}, Student ID #: {i}')
...
Student Name: John, Student ID #: 35001
Student Name: Mary, Student ID #: 35002
Student Name: Mike, Student ID #: 35003
```