How can I calculate descriptive statistics using NumPy?

How can I calculate descriptive statistics using NumPy?

You can use NumPy to calculate descriptive statistics like mean, median, and standard deviation. Would you like a code example?

Yes, please provide a code example for calculating the mean and standard deviation.

Sure! Here's a simple example:

import numpy as np

# Create a NumPy array
data = np.array([1, 2, 3, 4, 5])

# Calculate mean and standard deviation
mean = np.mean(data)
std_dev = np.std(data)

print('Mean:', mean)
print('Standard Deviation:', std_dev)

What if I have a 2D array? How do I calculate statistics for each column?

For a 2D array, you can specify the axis parameter. For example:

# Create a 2D NumPy array
data_2d = np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]])

# Calculate mean and std for each column
mean_columns = np.mean(data_2d, axis=0)
std_dev_columns = np.std(data_2d, axis=0)

print('Mean for each column:', mean_columns)
print('Standard Deviation for each column:', std_dev_columns)