import pandas as pd

# load the target.csv file

tgt $=$ pd$.$read$\_$csv$("$target$.$csv$")$

# subset the last $19$ days of the dataframe

tgt$\_$march $=$ tgt$[-19$:$]$

# subset tgt$\_$march and create a data frame that contains the columns: Date and Volume

tgt$\_$vol $=$ tgt$\_$march$[["$Date$",$"Volume"$]]$

# subset tgt$\_$march and create a data frame that contains the columns: Date and Closing

tgt$\_$close $=$ tgt$\_$march$[["$Date$",$"Close"$]]$

day $=$ int$($input$())-1$

# subset the specific row of tgt$\_$vol for the given day

volume$\_$row $=$ tgt$\_$vol$[$pd$.$to$\_$datetime$($tgt$\_$vol$[\text{'}$Date$\text{'}]).$dt$.$strftime$(\text{'}\%$d$\text{'})==$ str$($day$)]$

volume $=$ volume$\_$row.iloc$[0][1]$ # gets the volume for the given day

# subset the specific row of tgt$\_$close for the given day

close$\_$row $=$ tgt$\_$close$[$pd$.$to$\_$datetime$($tgt$\_$close$[\text{'}$Date$\text{'}]).$dt$.$strftime$(\text{'}\%$d$\text{'})==$ str$($day$)]$

close $=$ close$\_$row.iloc$[0][1]$ # gets the closing stock price for the given day

date $=$ tgt$\_$march$[$pd$.$to$\_$datetime$($tgt$\_$march$[\text{'}$Date$\text{'}]).$dt$.$strftime$(\text{'}\%$d$\text{'})==$ str$($day$)].$iloc$[0][0]$ # gets the date

print$("$The volume of TGT on$",$ str$($date$),"$is$",$ str$($int$($volume$))+".")$

print$("$The closing stock price of TGT on$",$ str$($date$),"$is $$",$ str$($int$($close$))+".")$