In Pandas, what is a DataFrame?

A DataFrame in Pandas is a two-dimensional labeled data structure with columns of potentially different types. It is similar to a spreadsheet or SQL table, or a dictionary of Series objects. It is generally the most commonly used pandas object.

Here are the steps to create a DataFrame in Pandas:

1. First, you need to import the pandas library using the command import pandas as pd.

2. Next, you can create a DataFrame from a dictionary. For example:

data = {'Name':['Tom', 'Nick', 'John', 'Tom'],
        'Age':[20, 21, 19, 18]}
df = pd.DataFrame(data)

In this case, 'Name' and 'Age' are the column labels, and the names and ages are the data for each column.

3. You can also create a DataFrame from a list of dictionaries, a dictionary of Series, and a list of lists, among others.

4. Once you have created a DataFrame, you can access the data in it using the column labels. For example, df['Name'] would give you the 'Name' column, and df['Age'] would give you the 'Age' column.

5. You can also manipulate the data in a DataFrame in various ways, such as adding new columns, deleting columns, selecting specific rows and columns, etc.