﻿ Pandas Practice Set-1: Count the number of missing values in each Series of diamonds DataFrame - w3resource # Pandas Practice Set-1: Count the number of missing values in each Series of diamonds DataFrame

## Pandas Practice Set-1: Exercise-40 with Solution

Write a Pandas program to count the number of missing values in each Series of diamonds DataFrame.

Sample Solution:

Python Code:

``````import pandas as pd
print("Original Dataframe:")
print("\nNumber of missing values in each Series of diamonds DataFrame:")
print(diamonds.isnull().sum())
``````

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

Number of missing values in each Series of diamonds DataFrame:
carat      0
cut        0
color      0
clarity    0
depth      0
table      0
price      0
x          0
y          0
z          0
dtype: int64
```

Python Code Editor:

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## Python: Tips of the Day

Checks if the given number falls within the given range.

Example:

```def tips_range(n, start, end = 0):
return start <= n <= end if end >= start else end <= n <= start
print(tips_range(2, 4, 6))
print(tips_range(4, 8))
print(tips_range(1, 3, 5))
print(tips_range(1, 3))
```

Output:

```False
True
False
True
```