Counting word types

In this lab session you will write two functions to read a text file, and count how many words there are in the file for each of three types: "capitalized", "punctuated", "other".

Do not count one word twice $$ for example, if the word is capitalized, count it as capitalized only, even when it$$s punctuated. You will only count words that are not capitalized and punctuated under the "punctuated" category. If the word is not "capitalized" nor "punctuated", it should be counted as "other". Do not count empty strings $($generated by white lines in a text file$).$

Your file name should be word$\_$types.py$.$

In this lab session you will write two functions to read a text file, and count how many words there are in the file for each of three types: $,$ "punctuated", "other".

Do not count one word twice $-$ for example, if the word is capitalized, count it as capitalized only, even when it's punctuated. You will only count words that are not capitalized and punctuated under the "punctuated" category. If the word is not "capitalized" nor "punctuated", it should be counted as "other" $.$ Do not count empty strings $($generated by white lines in a text file$).$

Your file name should be word$\_$types.py$.$

Test files:

$-$ angelou.txt

$-$ atwood.txt

$-$ dickinson.txt Test cases

Note that you have to implement two functions: count$\_$word$\_$type and print$\_$plot

$```$

counts $=$ count$\_$word$\_$type$("$angelou$.$txt$")$

assert counts $==\{\text{'}$capitalized$\text{'}$: $3,$ 'punctuated': $8,$ 'other': $27\}$

print$\_$plot$($counts$)$

capitalized $7\mathrm{.}89\%$ #######

punctuated $21\mathrm{.}05\%$ #########################

other $71\mathrm{.}05\%$ ###############################################################################

$```$

$```$

counts $=$ count$\_$word$\_$type$("$atwood$.$txt$")$

assert counts $==\{\text{'}$capitalized$\text{'}$: $3,$ 'punctuated': $10,$ 'other': $30\}$

print$\_$plot$($counts$)$

$```$

capitalized $6\mathrm{.}98\%$ ######

punctuated

other

$23\mathrm{.}26\%$ ##########################

$69\mathrm{.}77\%$ ########################################################################

$```$

counts $=$ count$\_$word$\_$type$("$dickinson$.$txt$")$

assert counts $==\{\text{'}$capitalized$\text{'}$: $15,$ 'punctuated': $17,$ 'other': $52\}$

print$\_$plot$($counts$)$

$```$

capitalized

$17\mathrm{.}86\%$ #################

punctuated

$20\mathrm{.}24\%$ ######################

other

$61\mathrm{.}90\%$ #######################################################################