Given a list: a dictionary with ingredients I currently have: and a more complex dictionary with the recipes and items per ingredients: I want to output a dictionary that adds to the elements of the list list_essentials the number of items I need if I wanted to be able to make all the recipes. The expected output I am looking
Tag: count
Print number of occurrences of any items in a list in paths
I am using os.walk to identify paths in a generic source directory (SRC) that contain any strings in my_list: And let’s say that print(source_path) gives the following: My goal is to shutil.move my source_path’s, but since, for example, moving /User/dir_1/bird_files/ and then trying to move /User/dir_1/bird_files/bird_a_files/ will result in a FileNotFound Error, I want to filter my source_path’s to include
Pandas (How to Fix): List is actually string and the value of length is misleading
I have a dataframe with a list of years in the first column. A second column shows the number of years listed in each row. Which made me think that the contents of each cell is a pure string. And it seems that way when I checked the type: When I convert the column to list using to_list(), it shows:
Sorting by word count that store in dict python
how can you sort by word count? sorted() sort me only by the number of numbers? Thank you for your help input is print(make_dict(“test is test tests tests tests”)) output is {‘test’: 2, ‘is’: 1, ‘tests’: 3} im search output tests ,test ,is Answer You can change your code like approach_1 or use collections.Counter like approach_2. You can sorted on
Combining dummies and count for pandas dataframe
I have a pandas dataframe like this: as a plain text: {‘id;sub_id;value;total_stuff related to id and sub_id’: [‘aaa;1;cat;10’, ‘aaa;1;cat;10’, ‘aaa;1;dog;10’, ‘aaa;2;cat;7’, ‘aaa;2;dog;7’, ‘aaa;3;cat;5’, ‘bbb;1;panda;20’, ‘bbb;1;cat;20’, ‘bbb;2;panda;12’]} The desired output I want is this. Note that there are many different “values” possible, so I would need to automate the creation of dummies variables (nb_animals). But these dummies variables must contain the
Count the number of times a group of words appear in a text
I have 4 lists of words that categorise something and a tokenised text by word. I would like to count the number of occurrences of the words in these lists in a certain text but as a sum of the words for each list. Therefore the results would show an occurrence of 10 animal words, 20 colour words, 6 food
Counting word frequency in a sentence
I have two columns – one with sentences and the other with single words. Sentence word “Such a day! It’s a beautiful day out there” “beautiful” “Such a day! It’s a beautiful day out there” “day” “I am sad by the sad weather” “weather” “I am sad by the sad weather” “sad” I want to count the frequency of the
Pandas: Rolling window to count the frequency – Fastest approach
I would like to count the frequency of a value for the past x days. In the example below, I would like to count the frequency of value in the Name column for the past 28 days. The data is already sorted by Date I found some solutions on StackOverFlow but all of them are neither correct on the dataset
Count number of days in each continuous period pandas
Suppose I have next df N03_zero (date_code is already datetime): Millions of rows with date_code assigned to some item_code. I am trying to get the number of days of each continuous period for each item_code, all other similar questions doesn’t helped me. The expected df should be: Once days sequence breaks, it should count days in this sequence and then
python how to record the number of elements in listA that appear in the same order as in listB
I am trying to trace to what extent is listA, listB, listC… similar to the original list. How do I print the number of elements that occur in the same sequence in listA as they occur in the original list? Answer I wrote a function that does the job I think. It might be a bit too complex, but I