How can I use NumPy in Python for data analysis?

How can I use NumPy in Python for data analysis?

You can use NumPy to perform various data analysis tasks, such as numerical computations, array manipulations, and statistical operations. Would you like to see some examples?

Yes, please show me how to create a NumPy array.

To create a NumPy array, you can use the numpy.array() function. For example:

import numpy as np
array = np.array([1, 2, 3, 4, 5])
print(array)

What about performing mathematical operations on arrays?

You can perform element-wise operations easily. For instance, if you have two arrays:

array1 = np.array([1, 2, 3])
array2 = np.array([4, 5, 6])
result = array1 + array2
print(result)  # Output: [5 7 9]

Can NumPy help with statistical analysis?

Absolutely! NumPy provides functions like np.mean(), np.median(), and np.std() for statistical analysis. For example:

mean_value = np.mean(array)
print(mean_value)