Python dataframe

A dataframe in Python is a two-dimensional labeled data structure with columns of potentially different types. It is similar to a spreadsheet or SQL table, but with more powerful querying capabilities.

A dataframe can be created in Python using the `pandas` library. Here's an example:

import pandas as pd

# create a dataframe from a dictionary
data = {'name': ['Alice', 'Bob', 'Charlie'],
        'age': [25, 30, 35],
        'city': ['New York', 'London', 'Paris']}
df = pd.DataFrame(data)

# display the dataframe
print(df)

Output:

       name  age      city
0     Alice   25  New York
1       Bob   30    London
2  Charlie   35     Paris

In this example, we created a dataframe from a dictionary where each key represents a column and its value represents the data in that column. We then printed the dataframe using the `print` function.