Closed. This question needs details or clarity. It is not currently accepting answers. Want to improve this question? Add details and clarify the problem by editing this post. Closed 1 year ago. Improve this question This logic is working for most of the test cases but not all. What I am doing wrong? Answer None of the python samples pass
Tag: arrays
How is the dtype of a numpy array calculated internally?
I was just messing around with numpy arrays when I realized the lesser known behavior of the dtypes parameter. It seems to change as the input changes. For example, gives dtype(‘int32’) However, gives dtype(‘int64’) So, my first question is: How is this calculated? Does it make the datatype suitable for the maximum element as a datatype for all the elements?
Convert dataframe to a rec array (and objects to strings)
I have a pandas dataframe with a mix of datatypes (dtypes) that I wish to convert to a numpy structured array (or record array, basically the same thing in this case). For purely numeric dataframes, this is easy to do with the to_records() method. I also need the dtypes of pandas columns to be converted to strings rather than objects
Python dictionary counter positions change
So i’m trying to count the most repeated values in an text file. By using the Counter method it returns exaclty what im looking for file.txt script.py OUTPUT But as you can see the output of the final array is not in the same order as the dictionary (value should be in descending order) I am expecting an output like
cv2.imshow() giving black screen
I’m converting a image (numpy array) into a string. Then I’m converting this string back to a numpy array of the original dimensions. Hence both the numpy arrays are equal- infact numpy.array_equals() also returns True for the arrays being equal. When I call cv2.imshow() on the original numpy array, it prints the image. But when I call cv2.imshow() on the
How to create 2d array with numpy random.choice for every rows?
I’m trying to create a 2d array (which is a six column and lots of rows) with numpy random choice with unique values between 1 and 50 for every row not all of the array But this raises an error. Is it possible to make this with an one liner without a loop Edit Okey i get the answer. These
Mapping RGB values in an image to a corresponding ID using a dictionary
I am working on a segmentation problem where given an image, each RGB value corresponds to a class label. The problem I have is to efficiently map RGB values from an image (numpy array) to a corresponding class label image. Let’s provide the following simplified example: (in a real example the colorIdMap will have about 20 entries and labelOld will
Expanding/Zooming in a numpy array
I have the following array: I want to expand it to this array: So I’m using the following command: based on this question and answer here Resampling a numpy array representing an image. However, what I’m getting is this: I want the expansion to be exactly by 3, or whatever the zoom factor is, but currently it’s different for each
Missing attribute `value` for equal ctypes array objects
I know 2 ways of creating a c array out of a python sequence data = (1, 2, 3, 4, 5, 6). Creating an array class, initializing it and passing the values through the value attribute: Creating an array class and passing the value as arguments during initialization: Both generates the same type: But when trying to access the value
How to make c++ return 2d array to python
I find an example showing how to return a 1D array from c++ to python. Now I hope to return a 2D array from c++ to python. I imitate the code shown in the example and my code is as follows: The file a.cpp: The file b.py: I run the following commands: Then I get the following prints: It seems