How do you define pandas dataframe?

Pandas DataFrame

Pandas DataFrame is two-dimensional size-mutable, tabular data structure with labelled axes (rows and columns). A Data frame is a two-dimensional data structure, i.e., data is aligned in a tabular fashion in rows and columns. Pandas DataFrame consists of three principal components, the data, rows, and columns.

A Pandas DataFrame will be created by loading the datasets from existing storage, storage can be SQL Database, CSV file, and Excel file.

In order to create a dataframe from a list of values, you can follow the following example:

import pandas as pd

# list of strings
data = ['Test', 'Data,' 'For ', 'Pandas', 'Dataframe']

# Calling DataFrame constructor on list
df = pd.DataFrame(data)

print(df)

In order to lead a dataframe from a csv file, you can follow the following example:

# importing pandas
package import pandas as pd

# making data frame from csv file
df = pd.read_csv("yourdataframe.csv")

print(df)