I’m creating a program that counts letters. I created two dictionaries that both have the same word and, because they are the same exact word, both have the same counter. I want to know how to merge the two dictionaries so that it updates the counters as well, but I consistently receive the result “NONE.” Answer You can concatenate strings
Tag: counter
Some letters are not getting counted in the below code in Python
I am trying to write a code to count letters in a string and store them as key value pair in a separate dictionary with key as the letter and value as the total count of that respective letter. Could anyone please help me out what is going wrong in the code as I am not able to debug it.
Replace XML variables which have the the same text with another text variable in python
I’m using python 3 and beautifulsoup4, pandas, counter, to convert one XML to CSV file There is several thousand products in this Xml. I have trouble with one particular problem. Many of this product in XML are a children of parent product, but parent product is not itself in XML. Each of this children product have special parent tag with
How to resolve TypeError: cannot use a string pattern on a bytes-like object – word_tokenize, Counter and spacy
My dataset is a sales transactions history of an online store. I need to create a category based on the texts in the Description column. I have done some text pre-processing and clustering. This is how the dataframe cat_df head looks like: Description Text Cluster9 0 WHITE HANGING HEART T-LIGHT HOLDER white hanging heart t-light holder 1 1 WHITE METAL
TypeError: unhashable type: ‘numpy.ndarray’, Counter rows
I’m trying to view the frequency of the elements in a 2d array as in the code: Expected result: ({(22, 66): 2, (33, 77): 1, (55, 99): 1}) But I get: Answer Create a list of tuples: (tuples are hashable) Now Counter works: numpys own unique also works
Implementing a match counter into a lotto number guesser
im rather new to python and found someones lottery simulation in github. After playing around with it for a while i wanted to add a counter, that counts the number of matches of your Number out of the total draws. I don’t know if it is because i did not write the code myself, but i can’t seem to make
python: get percentage from collection counter
I have two lists like the following: I have tried to get the counts of elements in the first list based on a condition: the output is: instead of counts, I would like to get their percentage like the following I have tried adding Counter(100/([a for a,b in zip(l1,l2) if b==’f’])), but I get an error. Answer You can try
Pandas groupby and count across multiple columns
I have data ordered by ID, Year, and then a series of event flags indicating whether a thing did or did not happen for that ID in that year: ID Year x y z 1 2015 0 1 0 1 2016 1 1 0 1 2017 0 1 1 2 2015 1 0 1 2 2016 1 1 0 2
Create a pandas column counter that successively counts 4 lines and 6 lines
I have a pandas dataframe with multiple columns and I want to create a counter that successively counts 4 rows and 6 rows. I would like it to look like the dataframe below: index counter 0 1 1 1 2 1 3 1 4 2 5 2 6 2 7 2 8 2 9 2 10 3 11 3 12
Is there a way to make this “for loop” cleaner in Python?
I created a simple script that goes to a notepad file, reads it line by line and if it finds certain words it adds to a counter. Then at the end it spits out the final count for each word. The current implementation works, I just know it’s not the most efficient way of doing things. I would love for