![]() ![]() To do that, you can use the following code: Now say you want to create a function that allows you to create ASCII bar chart on your terminal. Bar charts are especially handy for plotting this type of data. For example, when you’re working with categorical data, you might want to create bar charts to visualize the number of observations per category. Statistics is another field in which you can use Counter. In English, for example, studies on the average letter frequency have revealed that the five most common letters are “e,” “t,” “a,” “o,” and “i.” Wow! That almost matches your results! Plotting Categorical Data With ASCII Bar Charts Linguists often use letter frequency for language identification. #Count run time python codeGreat! Your code counts the frequency of every letter in a given text file. k -> 2 v -> 5 w -> 4 > for letter, count in letter_counter. > from letters import count_letters > letter_counter = count_letters ( "pyzen.txt" ) > for letter, count in letter_counter. To use count_letters(), you can do something like this: #Count run time python updateupdate() on the letters counter to update the counts of each letter. The comprehension lowercases the letters before filtering them to prevent having separate lowercase and uppercase counts.
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