How can I use Pandas with NumPy for data analysis?

How can I use Pandas with NumPy for data analysis?

You can use Pandas to manipulate data and NumPy for numerical operations. For example, you can create a DataFrame with Pandas and then use NumPy functions to perform calculations on the data.

Can you show me a simple example?

Sure! First, import both libraries:

import pandas as pd
import numpy as np

Then, create a DataFrame:

data = {'A': [1, 2, 3], 'B': [4, 5, 6]}
df = pd.DataFrame(data)

You can now use NumPy functions like np.mean() on the DataFrame.

What if I want to apply a NumPy function to a specific column?

You can select the column and apply the function directly. For example:

mean_A = np.mean(df['A'])

This will give you the mean of column 'A'.

Is it possible to apply a function to multiple columns?

Yes, you can use the apply() method. For example:

df[['A', 'B']].apply(np.sum)

This will return the sum of each column.