DataFrame in Pandas
In this lesson, the DataFrame object of pandas is explained.
We'll cover the following...
DataFrame
A DataFrame can be described as a 2-D array or matrix. It has data stored in it just like an excel spreadsheet with multiple columns and rows. Unlike Series which only has one index, each value in a DataFrame object is associated with a row index as well as a column index.
In the following code snippet, a CSV file containing cancer registration statistics of 2017 is read in a DataFrame.
import pandas as pddf = pd.read_csv('cancer_stats.csv') # Read from csv fileprint (df.head()) # This method prints the first five rows in the dataframe
It can be seen from the output that every row has a specific index already assigned to it
On Line 3, data from the cancer_stats.csv file is read using the read_csv() function of pandas, which takes the file name as its argument.
On Line 5, the head() method, without any parameters, prints the first five rows from the DataFrame object. If a number n is passed in the function like head(n) ...