Using groupby and agg, is it possible to, in the same expression, get the ‘count’ divided by ‘sum’ returned? Answer Assuming this is a dummy example (else just compute the mean), yes it is possible to combine aggregators using apply: Better alternative in my opinion: output:
Tag: python
saving appended list/dictionary to pandas dataframe
I am working on a code like below, which slices the address column. For this I have created a dictionary and created an empty list final to append all the pre processing.see code After preprocessing I am appending the empty list. Now, I want to update the df_dict with the final list. and convert the df_dict t…
if and else in Convolution function
I have a problem with use if and else statement in convolution function. this code return error: use any() or all() how to can i use condition in convolve? I hope you always good luck. thanks. Answer The name function is called with a numpy array as the parameter. “Is the array less than 300?” isn…
how to create an app with in app inside a Django project? How that app can be registered to setting py file?
*project- New.app-app want to add an app inside app 1.how to register this to the setting.py file? what are the things I should be worried once I have an app with in an app? Answer First create inner app using command Here i created Two apps first at Project Directory & second one is in app directory Now …
How to give a condition that if difference between two hexadecimal no is 2 then concatenate two rows?
I have a file which contain two columns, eg abc.txt Here I need to concatenate 2nd row 2nd column with first row first column like this: Condition for concatenating: only when (hexadecimal)difference between 2nd row, 1st column and 1st row, 1st column is 20. For this example it would be: Similarly for upcomin…
Is there a numpy function to compress a (k, m, n) matrix to a (k//2, m//2, n//2) matrix by summing neighbors?
This can be accomplished with But I’m wondering if there is a function to accomplish this quickly and cleanly. If not, is there a canonical name for this operation? Answer This sounds like a classical strided-convolution pooling operation. You can do this in many ways, but the most straightforward would…
Find string in a dataframe from a list in another dataframe
I have 2 pandas dataframes in python which are set up as folows: Where Paragraph is a string of multiple words. Name is just a string identifying the Words. And Words is a list of strings. So what I want to do is have an expression that will identify which Paragraphs in Dataframe 1 contain Words from Datafram…
Drawing using matplotlib in pysimplegui
How can i clean up previous drawing before drawing again with matplotlib in PySimpleGui? I wanted to draw a bar chart which i could be able to draw but not able to delete using the following code: Are there any functions that i can call to clean up any previous drawings? Can someone please helpme with it, i w…
place the symbol
to add certain symbol after every three got splited lines Something like that?? – Answer This code looks if there are three or more commas in the text. If it is, it splits the text into 4 parts, then concats the 3 first parts and adds an @ before the third comma and redo the same process with the remain…
Remove substring in array of strings column in dataframe
I have dataframe column which is array of strings I want to get result like I want to remove substring ‘fruit=’ Answer You can apply a function to the column. In this case split each string by = and take the last element of the result.