Write a function that decides a suitable number format based on the data. $(15\backslash \%)$

$-$ In the parameter list, it supplies a two$-$column dataframe and the output filename.

$-$ Create the bar plot for dataframe.

$-$ Use the second class label for the title of the plot

$-$ Display the values in the first class label as the x$-$axis labels

$-$ Display the number, with $2$ significant figures, on top of the bar

$-$ Decide the unit of each bar based on the value

$-$ When the value is greater than or equal to $\backslash (1,000,000\backslash ),$ use $\backslash ($ M $\backslash )$

$-$ When the value is between $999,999$ and $1000,$ use k

$-$ Otherwise, use its original unit

$-$ Save the plots as the specified output file. Do not show the plots.

$-$ You can assume all the numbers are integers.

This problem is aboul a bar chart.

Code:

$```$

# Problem $4$

import pandas as pd

def problem$\_4($df$,$ output$="$q$4.$jpg$")$:

# write your logic here

plt$.$savefig$($output$)$ # do not show the plt

$```$

Execution:

$```$

data $=$ pd$.$DataFrame$(\{"$Name$"$: $["$Amy$",$ "Bob", "Cat"$],$

"Balance": $[876,4320,43204320]\})$

problem$\_4($data$)$

$```$

q$4.$jpg: