Explanation:
import pandas as pd:
The pandas library is imported and given the alias pd.
Pandas is a powerful library in Python used for data manipulation and analysis.
data = {'col1': [1, 2], 'col2': [3, 4]}:
A dictionary named data is created with two keys: 'col1' and 'col2'.
The values of the keys are lists:
'col1' → [1, 2]
'col2' → [3, 4]
df = pd.DataFrame(data):
The pd.DataFrame() function is used to convert the data dictionary into a DataFrame, which is a tabular data structure in Pandas (similar to a table in a database or an Excel spreadsheet).
The resulting DataFrame, df, will look like this:
col1 col2
0 1 3
1 2 4
print(df['col1'][1]):
df['col1']:
Accesses the column named 'col1' from the DataFrame. The result is a Pandas Series:
0 1
1 2
Name: col1, dtype: int64
df['col1'][1]:
Retrieves the value in the column 'col1' at index 1. The value at index 1 is 2.
print():
Prints the retrieved value (2) to the console.
Output:
2
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