I'm getting this error:Collecting scikit-learn==0.21.3 Using cached scikit-learn-0.21.3.tar.gz (12.2 MB) Requirement already satisfied: numpy>=1.11.0 in c:\u
I have an excel file with multiple sheets, the actual data I need from each sheet is from cell B7 to F38, how can I merge all the sheets' data into one by using
My Django REST Framework API is working just as expected. In view.py, I modify OrderViewSet, def partial_update, to add another key/value pair to the response.d
import arcpy.sa arcpy.env.workspace = r"C:\Users\nhaddad\Desktop\project_8" arcpy.env.overwriteOutput = True altitude_cursor = arcpy.da.SearchCursor("sol
whenever I run this function I can see only the print result of time and date. the lines below do not get executed nor they throw any error. what is the issue?
I can't seem to figure out why the values of the first column after the 3 are being reset to 1 and then 1 again. I think it has to do with the not 999 if statem
I tried to implement formula from Wikipedia but results are different. Why is it so? y_true = np.array([1, 1, 0]) y_pred = np.array([1, 0, 1]) r2 = r2_score(y_
It is a list based on a solar measurement system so in the first hours of the day it will be 0 and in the last hours of the day it will be 0, so I am interested
I want to store data in a table like structure. The way i will populate it is generation of row after complex processing into different section of the codebase.
I hope to climb this page, but I don't know why I can't climb it successfully. I see a nice Web Page, I want to get it, Facebug555 I have no Python background!
This might be a very niche Problem. I have a modified Dataset - based on the 4th downloadlink with 105572 elements - and want to know how I can model it in the
Using the following python code, I am succesfully able to write and execute the GOOGLEFINANCE() in Google Sheets: cell_range_insert= 'B2' values = [['=GOOGLEFIN
Let's say I have a queryset qs. I'm grouping by the queryset as follows: ( qs.annotate( catering_price_enabled=F("outlet__library__settings__sligro_
Data A "data": { "authors": [ { "name": "A1", "type": "AUTHOR" }, { "name": "B1", "type": "AUTHOR" } { "name": "C1", "type":
So I have a pandas data frame similar to this: col1 col2 col3 [0,1,0] 1 0 [1,0,0] 0 1 and I want to unpack it so that it becomes 5 columns as apparently tenso
By default, rest_framework's TokenAuthentication uses the "Authorization" key in the header, and looks for the keyword "Token" when authenticating requests. Aut
nginx map $http_upgrade $connection_upgrade { default upgrade; '' close; } server { listen 80; server_name www.abo3aly.com abo3aly.com;
What I am trying basically I want all the filled detected circle values, the circle will be filled with black or blue pen, I tried BLOB detection but unfortunat
>>> class Foo(Schema): ... id = fields.Int(dump_only=True, required=True) ... name = fields.Str(required=True) ... >>> >>> Fo
I'm trying to a write a search function for table reserving from a restaurant, I have a restaurant model: class Restaurant(models.Model): """ Table Rest