What are the different data types in Pandas and can you give examples?

What are the different data types in Pandas and can you give examples?

Pandas supports several data types including int, float, bool, and object. For example, an integer can be a count of items.

Can you show me an example of a DataFrame with different data types?

Sure! Here's a simple DataFrame:

import pandas as pd

data = {
    'A': [1, 2, 3],  # int
    'B': [1.1, 2.2, 3.3],  # float
    'C': [True, False, True],  # bool
    'D': ['apple', 'banana', 'cherry']  # object
}

df = pd.DataFrame(data)
print(df)

What will be the output of this DataFrame?

The output will be:

   A    B      C       D
0  1  1.1   True   apple
1  2  2.2  False  banana
2  3  3.3   True  cherry

How can I check the data types of each column in the DataFrame?

You can use the dtypes attribute:

print(df.dtypes)
``` This will show you the data type of each column.