﻿ NumPy: Count the frequency of unique values in numpy array - w3resource # NumPy: Count the frequency of unique values in numpy array

## NumPy: Array Object Exercise-94 with Solution

Write a NumPy program to count the frequency of unique values in numpy array.

Pictorial Presentation: Sample Solution:

Python Code:

``````import numpy as np
a = np.array( [10,10,20,10,20,20,20,30, 30,50,40,40] )
print("Original array:")
print(a)
unique_elements, counts_elements = np.unique(a, return_counts=True)
print("Frequency of unique values of the said array:")
print(np.asarray((unique_elements, counts_elements)))
```
```

Sample Output:

```Original array:
[10 10 20 10 20 20 20 30 30 50 40 40]
Frequency of unique values of the said array:
[[10 20 30 40 50]
[ 3  4  2  2  1]]
```

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?

Test your Python skills with w3resource's quiz

﻿

## Python: Tips of the Day

For-else construct useful when searched for something and find it:

```# For example assume that I need to search through a list and process each item until a flag item is found and
# then stop processing. If the flag item is missing then an exception needs to be raised.

for i in mylist:
if i == theflag:
break
process(i)
else:
raise ValueError("List argument missing terminal flag.")
```