I am new to loops, and I am trying to iterate over all items in a list, and I need to generate the values between 0 and 2 with a given step value. I have tried to use the “range” function, but cannot get it to work. The end result should look something like this (doesn’t have to be in
Tag: numpy
A copy of image array not working in python
So I am working on Image Encryption and using a chaotic map for diffusion. So I have been trying to rearrange pixels of an image and made a rearranging code. It works fine for normal arrays but when I use it on image, without any rearranging, just a simple copy, the new array doesn’t make any image, in fact np.array_equal
How to calculate the outliers in a Pandas dataframe while excluding NaN values
I have a pandas dataframe that should look like this. Some values in this dataframe are outliers. I came across this method of calculating the outliers in every colum using the z score: My goal is to create a column Is Outlier and put a True/False on each row that has/doesn’t have at least one outlier and NaN for rows
Rotate Transformation Matrix Around Point
I have a 4×4 transoformation matrix T0 as a starting pose. Now I want to rotate T0 with an 3×3 rotation matrix R around a center point to get a new pose T1. How to calculate T1? Answer The solution is described here. And the working code is below:
Is it possible to make this function on numpy array more efficient?
Here a is a 1D array of integer indices. To give some context, a is the atom indices of the 1st molecules. The return is the atom indices for n identical molecules, each of which contains step atoms. This function basically applies the same atom selection to many molecules For example Answer It looks like broadcasting should be enough: output:
Save a list of dictionaries with numpy arrays
I have a dataset composed as: Each element of the list is a dictionary containing a key “sample” and its value is a numpy array that has shape (2048,3) and the category is the class of that sample. The dataset len is 8000. I tried to save in JSON but it said it can’t serialize numpy arrays. What’s the best
Lambda function apply on dataframe DOES not contain str
I’m trying to add a condition .apply with a lambda function that pickups up a keyword but ignores values if they contain a specific word “total.” My dataframe: Here’s my code: current col output: Desired col output: Question What am I doing wrong? I have tried the ~ to make it a NOT but it’s still picking up rows and
How to save what a tkinter window looks like without screenshot? (Possibly a numpy array?)
I have a short program that generates images of 1, 2, 3, and 4 random coloured circles to train a neural network on. My issue is, just doing 4000 images takes about 20-30 mins, and I need about 50000 images. My current method is to create the image, screenshot it, and then delete the tkinter object and restart. The issue
Convert 16 bit hex value to FP16 in Python?
I’m trying to write a basic FP16 based calculator in python to help me debug some hardware. Can’t seem to find how to convert 16b hex values unto floating point values I can use in my code to do the math. I see lots of online references to numpy but I think the float16 constructor expects a string like float16(“1.2345”).
Pandas merge only on where condition
Please help with logic on applying merge function only where condition is met. In below example: merge should be applicable only when, np.where name = John, else show 0 Expected result: TIA Answer use merge and select the good rows of your df2.