NumPy Random Data Distribution@arvindprogramming

NumPy Random Data Distribution @arvindprogramming
To make a random data distribution using the NumPy choice method, you can follow these steps:

Step 1: Import the required library
```python
import numpy as np
```

Step 2: Define the possible values for the random distribution
```python
possible_values = [1, 2, 3, 4, 5]
```

Step 3: Use the NumPy choice method to generate random data
```python
```
In this example, `size` specifies the number of random data points you want to generate, and `replace=True` allows for duplicate values.

Step 4: Print the random data distribution
```python
print(random_data)
```
This will output a random distribution of 100 data points selected from the possible values.

You can also generate a random data distribution with specific probabilities for each value by providing the `p` parameter. For example:
```python
probabilities = [0.1, 0.2, 0.3, 0.2, 0.2]
```
In this case, the `probabilities` list specifies the likelihood of each value being selected.
Social Media Links-