I wrote the code below produce a report in Jupyter notebook that provides the following information. Please could someone help refine this with following points:

$1)$ how to remove 'Name: Income, dtype: float$64\text{'}$ and 'Name: count, dtype: int$64\text{'}$

$2)$ how to round income$/$ balance numbers to $2$ decimal pointsIn $[28]$: $,$ import pandas as pd

# Create a DataFrame with balance.txt

df $=$ pd$.$read$\_$csv$("$balance$.$txt$",$ sep$="\backslash$s$+")$

# $1.$ Compare the average income based on ethnicity

print$("$Average income by ethnicity:"$)$

print$($df$.$groupby$("$Ethnicity$")["$Income$"].$mean$())$

# On average, do married or single people have a higher balance?

# calculate the average balance of married and single person

$.$Married $==$ "Yes"$].$loc$[$:$,$ "Balance"$].$mean$()$

print$("$

Average balance of married person:"$)$

print $($bm$)$

$.$ Married $=="$No$"].$loc$[$:$,$ "Balance"$].$mean$()$

print$("$

Average balance of single person:"$)$

print$($bu$)$

# check if balance of married person $>$ balance of unmarried perosn

if $bm>$ bu:

# if yes, display

print$(\text{'}$

Married people have a higher balance than single people.$\text{'})$

# check if balance of unmarried person $>$ balance of married perosn

if bu $>bm$ :

# if yes, display

print$(\text{'}$

Single people have a higher balance than married people.$\text{'})$

# What is the highest income in our dataset?

print$("$

Highest income:"$)$

print$($df$["$Income$"].$max$())$

# What is the lowest income in our dataset?

print$("$

Lowest income:"$)$

print$($df$["$Income$"].$min$())$

# How many cards do we have recorded in our dataset?

print$("$

Total number of cards:"$)$

print$($df$["$Cards$"].$sum$())$

# How many females do we have information for vs how many males?

print$("$

Number of females and males:"$)$

print$($df$["$Gender$"].$value$\_$counts$())$