I would like to filter out cnts with small area. But I got the an error. What is the proper way to use filter? code error Answer The filter function returns a generator but the drawContours function expects a list. To fix this, use the list command. Another solution is to use a list comprehension to build the list, like
Tag: filter
How can I extract values from a 3D numpy array using a 2D numpy array with indices?
I have two numpy arrays of the following shapes, and I need to extract values from a 3D array using stored indices from a 2D one: vals = (65, 65, 3500) This contains 3500 values that were calculated in a 65×65 grid, from which I need to extract values indices = (65, 65) This contains the indices of the minimum
How to filter subcategories of rows from one column, based on counts in second column
Sorry it’s a bit complicated, but lets say I have a very long table of IDs and Fruits: ID Fruit 1 Apple 2 Banana 4 Orange … … 3 Banana 1 Orange The ID may be repeated several times in the table and the fruit may also be repeat several times. For example, in the whole dataframe, ID #1 can
Is there a way to filter widgets in a ScrollArea with a QLineEdit based on specific attributes?
I’m doing an app in PyQt through Qt Designer and I’ve populated a (container widget inside a) Scroll Area with a list of cards (custom widgets that contains informations). I’ve put outside of the scroll area a QLineEdit and I want to use this QLineEdit to filter the cards based on specific attributes of each card (name, id, username). Is
How to efficiently filter a large python list?
I have a relatively large array called allListings and want to filter out all rows where allListings[:][14] == listingID. This is the code I am using: tempRows = list(filter(lambda x: x[14] == listingID, allListings)) The filtering is repeated in a for loop for all different listingID Profiling shows, that this line consumes 95% of the runtime in the loop. Is
Remove duplicates and keep row that certain column is Yes in a pandas dataframe
I have a dataframe with duplicated values on column “ID”, like this one: I need a way to remove duplicates (by “ID”) but keep the ones that the column Primary is “Yes” (all unique values have “Yes” in that column and duplicated values have one record as “Yes” and all others as “No”) resulting in this dataframe: What is the
Why printing (len(list(nums)) twice have different result in this code in python?
Code: this is the output: Why printing(len(list(nums)) will output different result? Answer Short answer: Because the filter function returns an iterator, and the first call list function consumes all the elements of the iterator, so the second time you call the list function on the same iterator you will get an empty list. Deep insight: The term “consume” is an
Filter pandas dataframe column and replace values using a list condition
I have the following dataframe: And I have this list of possible acceptable values for everyone that has a type of Contingent Workers: I need to find a way to confirm if everyone under the type “Contingent Worker” have an accetpable value in “Job” and, if not (or blank value), replace that value for “Consultant” resulting in this dataframe: What
how to delete an empty list in an array object in python?
I have this as data I would like to know how to remove ECG12D in my data for example ? Get this ! Answer Try this: UPDATE: Somebody suggested edit: It’s actually unnecessary, because python interprets empty list as False value. And also if you don’t want to use syntax sugar, the better way, as for me, will be:
Date filter binned data
I have a model in django that contains a start and end date for a financial year and a value for demand volume. I would like to filter this data on a given date range that may not coincide with the date ranges of the data, taking a proportion of the demand from each data point that may fall somewhere