Pandas DataFrame is a two-dimensional, size-mutable, tabular data which may contain labeled rows and columns. DataFrame is useful for tabular data manipulation. The class syntax includes four parameters that are the data, index, columns, data type and copy options.

DataFrame(data=None, index=None, columns=None, dtype=None, copy=False)

DataFrame Object Declaration

An example of a DataFrame declaration:

import pandas as pd

# prepare df parameters
data = [['A1', 'B1', 'C1'],
        ['A2', 'B2', 'C2'],
        ['A3', 'B3', 'C3']]

columns = ['A', 'B', 'C']
index = [1, 2, 3]

# declare df
df = pd.DataFrame(data, index, columns)

The outcome of the DataFrame declaration above is as follows:

see colab example

DataFrame object loads data from CSV file

# load the remote data into a Pandas DataFrame
import pandas as pd
df = pd.read_csv('https://archive.org/download/crowdflower/text_emotion.csv', on_bad_lines='skip', encoding='latin-1')

see colab example

DataFrame object saves data as a CSV file

df.to_csv('text_emotion.csv', index = False)

see colab example