How do you calculate percentiles with Python/ NumPy?

You can calculate percentiles in Python using the `numpy.percentile()` function from the NumPy library. This function allows you to find the value below which a given percentage of data falls. Here's how you can use it:

# Sample dataset

data = np.array([12, 45, 67, 23, 8, 42, 78, 56, 31, 19])

# Calculate the 25th percentile

percentile_25 = np.percentile(data, 25)

print("25th Percentile:", percentile_25)

# Calculate the 50th percentile (median)

median = np.percentile(data, 50)

print("Median (50th Percentile):", median)

# Calculate the 75th percentile

percentile_75 = np.percentile(data, 75)

print("75th Percentile:", percentile_75)

```

In this example:

1. We import NumPy as `np`.

2. We define a sample dataset called `data`.

3. We use the `np.percentile()` function to calculate specific percentiles:

   - `np.percentile(data, 25)` calculates the 25th percentile.

   - `np.percentile(data, 50)` calculates the 50th percentile (which is the median).

   - `np.percentile(data, 75)` calculates the 75th percentile.

You can replace `data` with your own dataset to calculate percentiles for your specific data.