Q:$1($Answer$)$

import pandas as pd

def import$\_$data$($csv$\_$filename$)$:

$"""$

Import data from a CSV file into a pandas DataFrame.

Parameters:

csv$\_$filename $($str$)$: File path for the CSV file.

Returns:

pandas.DataFrame: DataFrame containing the imported data.

$"""$

# Read the CSV file into a DataFrame

df $=$ pd$.$read$\_$csv$($csv$\_$filename, sep$=",",$ header$=0,$ index$\_$col$=$None$)$

return df

# Example usage:

df $=$ import$\_$data$("$superstore$\_$data.csv$")$

print$($df$.$head$())$ # Display the first few rows of the DataFrame

Question $2$: $($Answer$)$

def check$\_$column$\_$names$($df$)$:

$"""$

Check and return the column names of a DataFrame.

Parameters:

df $($pandas$.$DataFrame$)$: The DataFrame to check.

Returns:

list: List of column names ordered as they are in the DataFrame.

$"""$

# Get the column names from the DataFrame

column$\_$names $=$ list$($df$.$columns$)$

return column$\_$names

# Example usage:

cols $=$ check$\_$column$\_$names$($df$)$ # df is the DataFrame imported in Question $1$

print$($cols$)$ # Display the list of column names

Question $3$:

Objective: Get familiar with the data part $2$: Create the function check$\_$top$\_$rows. This function receives as input a dataframe and returns a new dataframe with the top $10$ rows of the input dataframe. The rows should have the same order as in the input dataframe. Try this on the dataframe from question $1.$ Example of usage: df$\_$top $=$ check$\_$top$\_$rows$($df$),$

$-$ df is the dataframe we want to check $-$ dataframe with just the top $10$ rows of df

Answer questions $3$ separately by taking help of answers of questions $1$ and $2$ given above