Code Explanation:
import pandas as pd
import pandas as pd: This line imports the Pandas library, which is a powerful Python library used for data manipulation and analysis. By convention, it is imported with the alias pd.
df = pd.DataFrame({'A': [1, 2], 'B': [3, 4]})
df = pd.DataFrame(...): This line creates a DataFrame named df using Pandas' DataFrame() constructor. The DataFrame is a 2-dimensional labeled data structure, similar to a table or spreadsheet.
{'A': [1, 2], 'B': [3, 4]}: This is a dictionary where:
'A': [1, 2] creates a column labeled 'A' with values [1, 2].
'B': [3, 4] creates a column labeled 'B' with values [3, 4].
The resulting DataFrame will look like this:
A B
0 1 3
1 2 4
print(df.iloc[0, 1])
df.iloc[0, 1]: This line uses integer-location based indexing to select a value from the DataFrame.
df.iloc[] is used to select rows and columns based on their integer positions (not labels).
0: Refers to the first row (index 0).
1: Refers to the second column (index 1), which is labeled 'B'.
So, df.iloc[0, 1] selects the value at the intersection of the first row and the second column, which is 3 (from df[0, 'B']).
Finally, it prints 3.
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