The Pandas Dataframe is a structure that has data in the 2D format and labels with it. DataFrames are widely used in data science, machine learning, and other such places. DataFrames are the same as SQL tables or Excel sheets but these are faster in use.
Empty DataFrame could be created with the help of pandas.DataFrame() as shown in below example:
Syntax: pandas.Dataframe()
Return: Return a Dataframe object.
Code:
Python3
# import pandas libraryimport pandas as pd # create an empty dataframemy_df = pd.DataFrame() # show the dataframemy_df |
Output:
The above output does not show anything lets us insert some heading to the DataFrame.
Code:
Python3
# import pandas libraryimport pandas as pd # column name list col_names = ['A', 'B', 'C'] # create an empty dataframe# with columnsmy_df = pd.DataFrame(columns = col_names) # show the dataframemy_df |
Output:
The empty dataframe showing only headings.
Now let’s Insert some records in a dataframe.
Code:
Python3
# import pandas libraryimport pandas as pd # create a dataframemy_df = pd.DataFrame({'A': ['114', '345', '157788', '5626'], 'B': ['shirt', 'trousers', 'tie', 'belt'], 'C': [1200, 1500, 600, 352]}) # show the dataframemy_df |
Output:
