count

问题 I have 5 columns: Quarter, Item, Type, Count, Date I am trying to pull a UNIQUE count of date for each Quarter & Item combination ie. FY20Q3-AU has 2 different dates, FW20Q3-GLW has 1 unique date, FY20Q3-GLE also has only 1 unique date Does anyone have any idea how I can accomplish this? I have been trying for a few hours modifying formulas that I found online without success. If possible, I am trying to do this without an array formula (not sure if that is even possible) I have tried: {=SUM(

问题 I am trying to count how many brands a certain client has passed through. I essentially have two columns a client list and a brand column. In some cases, there may be duplicates of the brand so I only need to count them once. I have tried to use several variants Countifs/Sumifs formulas but to no success. Totally lost and would appreciate any help Example Thanks 回答1: Try: =SUMPRODUCT(--(COUNTIFS($A:$A,$D2,$B:$B,$H$1:$H$10)>0)) You'll need to make a helper column which contains all the brands

问题 I am trying to count how many brands a certain client has passed through. I essentially have two columns a client list and a brand column. In some cases, there may be duplicates of the brand so I only need to count them once. I have tried to use several variants Countifs/Sumifs formulas but to no success. Totally lost and would appreciate any help Example Thanks 回答1: Try: =SUMPRODUCT(--(COUNTIFS($A:$A,$D2,$B:$B,$H$1:$H$10)>0)) You'll need to make a helper column which contains all the brands

问题 I am trying to count how many brands a certain client has passed through. I essentially have two columns a client list and a brand column. In some cases, there may be duplicates of the brand so I only need to count them once. I have tried to use several variants Countifs/Sumifs formulas but to no success. Totally lost and would appreciate any help Example Thanks 回答1: Try: =SUMPRODUCT(--(COUNTIFS($A:$A,$D2,$B:$B,$H$1:$H$10)>0)) You'll need to make a helper column which contains all the brands

问题 I have a genetic dataset of IDs (dataset1) and a dataset of IDs which interact with each other (dataset2). I am trying to count IDs in dataset1 which appear in either of 2 interaction columns in dataset2 and also record which are the interacting/matching IDs in a 3rd column. Dataset1: ID 1 2 3 Dataset2: Interactor1 Interactor2 1 5 2 3 1 10 Output: ID InteractionCount Interactors 1 2 5, 10 2 1 3 3 1 2 So the output contains all IDs of dataset1 and a count of those IDs also appear in either

问题 I'm trying to get a list of the 10 most commonly used words in a txt file with the end goal of building a word cloud. The following code does not produce anything when I print. >>> import collections >>> from collections import Counter >>> file = open('/Users/Desktop/word_cloud/98-0.txt') >>> wordcount={} >>> d = collections.Counter(wordcount) >>> for word, count in d.most_common(10): print(word, ": ", count) 回答1: Actually, I would recommend that you continue to use Counter . It's a really

问题 I'm trying to get a list of the 10 most commonly used words in a txt file with the end goal of building a word cloud. The following code does not produce anything when I print. >>> import collections >>> from collections import Counter >>> file = open('/Users/Desktop/word_cloud/98-0.txt') >>> wordcount={} >>> d = collections.Counter(wordcount) >>> for word, count in d.most_common(10): print(word, ": ", count) 回答1: Actually, I would recommend that you continue to use Counter . It's a really

问题 given patient_id test_result has_cancer 0 79452 Negative False 1 81667 Positive True 2 76297 Negative False 3 36593 Negative False 4 53717 Negative False 5 67134 Negative False 6 40436 Negative False how to count False or True in a column , in python? I had been trying: # number of patients with cancer number_of_patients_with_cancer= (df["has_cancer"]==True).count() print(number_of_patients_with_cancer) 回答1: So you need value_counts ? df.has_cancer.value_counts() Out[345]: False 6 True 1 Name

问题 given patient_id test_result has_cancer 0 79452 Negative False 1 81667 Positive True 2 76297 Negative False 3 36593 Negative False 4 53717 Negative False 5 67134 Negative False 6 40436 Negative False how to count False or True in a column , in python? I had been trying: # number of patients with cancer number_of_patients_with_cancer= (df["has_cancer"]==True).count() print(number_of_patients_with_cancer) 回答1: So you need value_counts ? df.has_cancer.value_counts() Out[345]: False 6 True 1 Name

问题 Instead of doing: $cars = $mysqli->query("SELECT * FROM cars"); $count = $cars->num_rows(); if ($count) { // is rows } I want to not have to select all rows or a single column, I simply want the count. In my head: $cars = $mysqli->query("SELECT COUNT(*) as count FROM cars"); But then how do I use that count value? I need to run an if statement on it. 回答1: It's not recommended to use reserved words for names in SQL. So I call the count result cnt instead. As your function is scalar, i.e. you