Explanation:
Imports the pandas library:
import pandas as pd imports the pandas library, which is a powerful data manipulation and analysis library in Python, often used for working with structured data like tables.
Creates a dictionary data:
data = {'A': [1, 2], 'B': [3, 4]} creates a dictionary where the keys 'A' and 'B' represent column names, and the values [1, 2] and [3, 4] represent the data for those columns, respectively.
The dictionary is essentially:
{
'A': [1, 2],
'B': [3, 4]
}
Creates a DataFrame df:
df = pd.DataFrame(data) converts the dictionary data into a pandas DataFrame. A DataFrame is a two-dimensional labeled data structure, like a table with rows and columns.
The resulting DataFrame looks like this:
A B
0 1 3
1 2 4
Prints the shape of the DataFrame:
print(df.shape) prints the shape of the DataFrame df.
The shape attribute of a DataFrame returns a tuple representing its dimensions: (number of rows, number of columns).
In this case, the DataFrame has 2 rows and 2 columns, so df.shape will return (2, 2).
Output:
(2, 2)
0 Comments:
Post a Comment