Code Explanation:
1. Importing the pandas library
import pandas as pd
What it does: Imports the pandas library and gives it the alias pd.
Why: pandas is used for data manipulation and analysis, especially with tables called DataFrames.
2. Creating a DataFrame
df = pd.DataFrame({"x":[1,2,3,4]})
What it does: Creates a DataFrame df with one column x containing [1, 2, 3, 4].
DataFrame looks like this:
x
1
2
3
4
Purpose: Store tabular data for easy analysis.
3. Calculating the sum of column x
sum_val = df["x"].sum()
What it does:
df["x"] selects the column x.
.sum() calculates the sum of all values in that column: 1 + 2 + 3 + 4 = 10.
Result: sum_val = 10
4. Finding the maximum value in column x
max_val = df["x"].max()
What it does:
df["x"] selects the column x.
.max() returns the largest value in that column.
Result: max_val = 4
5. Printing the results
print(sum_val, max_val)
What it does: Prints the sum and the maximum value of the column x.
Output:
10 4


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