$34\mathrm{.}13$ PRACTICE: Manipulate CSV files

Instructions:

Create a Python solution to the following task. Ensure that the solution produces output in exactly the same format shown in the sample$($s$)$ below, including capitalization and whitespace.

$\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_$

Task:

Create a solution that accepts an input identifying the name of a CSV file, for example, "input$1.$csv$".$ Each file contains two rows of comma$-$separated values. Import the built$-$in module csv and use its open$()$ function and reader$()$ method to create a dictionary of key:value pairs for each row of comma$-$separated values in the specified file. Output the file contents as two dictionaries.

The solution output should be in the format

$\{\text{'}$key$\text{'}$: 'value', 'key': 'value', 'key': 'value'$\}$

$\{\text{'}$key$\text{'}$: 'value', 'key': 'value', 'key': 'value'$\}$

$\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_$

Sample Input$/$Output:

If the input is

input$1.$csv

then the expected output is

$\{\text{'}$a$\text{'}$: $\text{'}100\text{'},\text{'}$b$\text{'}$: $\text{'}200\text{'},\text{'}$c$\text{'}$: $\text{'}300\text{'}\}$

$\{\text{'}$bananas$\text{'}$: $\text{'}1\mathrm{.}85\text{'},$ 'steak': $\text{'}19\mathrm{.}99\text{'},$ 'cookies': $\text{'}4\mathrm{.}52\text{'}\}$

Alternatively, if the input is

input$2.$csv

then the expected output is

$\{\text{'}$d$\text{'}$: $\text{'}400\text{'},\text{'}$e$\text{'}$: $\text{'}500\text{'},\text{'}$f$\text{'}$: $\text{'}600\text{'}\}$

$\{\text{'}$celery$\text{'}$: $\text{'}2\mathrm{.}81\text{'},$ 'milk': $\text{'}4\mathrm{.}34\text{'},$ 'bread': $\text{'}5\mathrm{.}63\text{'}\}$

#import csv module and call open$(),$ reader$()$

import csv

# dict$1=\{\}$

# dict$2=\{\}$

filename $=$ input$()$

with open$($filename$,"$r$")$ as file:

#solution accepts input identifying name of CSV file $($i$.$e$.,$ "input$1.$csv$")$

data $=$ csv$.$reader$($file$)$

#solution outputs each row of CSV file contents as a dictionary of elements

for row in data:

for word in row:

dict$1="$:$".$join$($row$)$

# dict$2=$ row$[1]$

print$($dict$1)$

# print$($dict$2)$