counter

问题 I have a dataframe df that contains a couple of columns, but the only relevant ones are given below. node | precedingWord ------------------------- A-bom de A-bom die A-bom de A-bom een A-bom n A-bom de acroniem het acroniem t acroniem het acroniem n acroniem een act de act het act die act dat act t act n I'd like to use these values to make a count of the precedingWords per node, but with subcategories. For instance: one column to add values to that is titled neuter , another non-neuter and

问题 I have a dataframe with a column "clear_message", and I created a column that counts all the words in each row. history['word_count'] = history.clear_message.apply(lambda x: Counter(x.split(' '))) For example, if the rows message is: Hello my name is Hello Then the counter in his row, will be Counter({'Hello': 2, 'is': 1, 'my': 1, 'name': 1}) The problem I have emoji in my text, and I want also a counter for the emoji. For example: test = '👹👹👹👹👹here sasdsa' test_counter = Counter(test.split('

问题 I am writing some webpages containing math content (using MathJax), and I am looking for a way to do the equivalent of the LaTeX theorem referencing, as in the following example: \begin{theorem} \label{thm:commute} a+b=b+a \end{theorem} According to Theorem (\ref{thm:commute}), $2+3=3+2$. I am using the following CSS/HTML code to produce automatic theorem numbering: .theorem:before { font-style: normal; font-weight: bold; content: "Theorem " counter(chap)"."counter(sect)"."counter(thm)" "; }

问题 I am creating and setting up the performance counters correctly but when I delete the category, recreate the category with the same name and add/update the counters to that category, it fails to update the counters and its values. The following code runs fine for the first time but not the second time. The code to remove the "Delete category" is not needed right now but I want to be able to delete existing category each time we deploy our application. How can I permanently delete the counter

问题 I want to count the number of times specific values appear in a list of dictionaries. However, I know that some of these dictionaries will not have the key. I do not know which though, because these are results from an API call. As an example, this code works for key1 , because all of the dictionaries have the key. from collections import Counter list_of_dicts = [ {'key1': 'testing', 'key2': 'testing'}, {'key1': 'prod', 'key2': 'testing'}, {'key1': 'testing',}, {'key1': 'prod',}, {'key1':

问题 I'm just trying with Django, how can i implement a counter that stores the count of requests served on the database? I want to count the GET requests, what should I do make it work? my template, <form action="/submit/" method="GET"> <input type="text" name="q"> <input type="submit" value="Submit"> </form> my view def result(request): name = request.GET['q'] message = 'your name is %r ' % name return render(request, 'result.html', {'message': message}) I want to count the number of times i

问题 I am required to design a modulo "n" counter with generic parameters. I am having trouble fixing the length of the std_logic_vector which will hold the output. Firstly, I get errors regarding the use of airthmetic operators on numeric types. And secondly, I am not allowed to use a dynamic expression in the range specification of the vector. Here is my code so far: library IEEE; use IEEE.std_logic_1164.all; use IEEE.std_logic_unsigned.all; use IEEE.math_real.all; entity counter_mod is generic

问题 This question already has answers here : Numbering rows within groups in a data frame (6 answers) Closed 3 years ago . I have a df like ProjectID Dist 1 x 1 y 2 z 2 x 2 h 3 k .... .... I want to add a third column such that we have an incrementing counter for each ProjectID: ProjectID Dist counter 1 x 1 1 y 2 2 z 1 2 x 2 2 h 3 1 k 3 .... .... I've had a look at seq rank and a couple of other bits particularly looking to see if I could use ddply to help: df$counter <- ddply(df,.(projectID),

问题 this question is based on my pervious question: Python list help (incrementing count, appending) I am able to create the following output when I do print c; Counter({(u'New Zealand', 174.885971, -40.900557): 1, (u'Ohio, USA', -82.90712300000001, 40.4172871): 1}) Which is exactly how I want and now I would like to know how I can write this to a csv file. Each row will represent a new location, lon/lat, count. I want to loop through the counter and access these parts: writer.writerow(["A", "B",

问题 Can I accomplish a rank/sort using Counter.most_common() functionality, thus avoiding this line: d = sorted(d.items(), key=lambda x: (-x[1],x[0]), reverse=False) ?? Challenge: You are given a string.The string contains only lowercase English alphabet characters.Your task is to find the top three most common characters in the string. Output Format: Print the three most common characters along with their occurrence count each on a separate line. Sort output in descending order of occurrence