#### Category : scipy

Can anyone can help me figure out this problem? Input: df= A B .045 GUIDE WIRE TROCAR TIP SHAFT CPLNG EXT AO.. .062 GUIDE WIRE 6 LONG GEBAUER PAIN EASE This is my code: import spacy import scispacy nlp = spacy.load(‘en_core_sci_lg’) doc1 = nlp(df[‘A’]) doc2 = nlp(df[‘B’]) for token1 in doc1: for token2 in doc2: ..

Have an array of point which are plotted as below . There are column structures in the set of point. How can these points be grouped into different columns? np.array([[151, 26],[ 30, 26],[511, 27],[747, 30],[609, 28],[930, 30], [ 30, 52],[211, 53],[513, 54],[608, 54],[824, 56],[946, 55], [106, 87],[187, 87],[512, 89],[609, 90],[725, 90],[823, 92], [931, 92],[ 28, ..

I am attempting to convert my advisor’s Matlab code into Python and having trouble getting past this point in the code. He uses a CSV of temperature and alpha values (50 each), creates a fitted curve based on their relationship, and evaluates a new set of temperature values (5000) for their corresponding alpha values along ..

My question might come across as stupid or so simple, but I could not work towards finding a solution. Here is my question: I want to write an exponential power distribution function which is available in scipy. However, I don’t want to use the scipy for this. How do I go about it? Here are ..

I am using scipy.interpolate.interpn() to interpolate a value at a single point on a 2D grid. The catch is that for this single point and for the 2D grid, I have to perform many evaluations of the interpn function: interpolatedValue = [] for i in range(300000): interpolatedValue.append(scipy.interpolate.interpn(points, valueList[i], point)[0]) The code works as expected, but ..

I have a set of (x,y) trajectory coordinates which belong to the same cluster but are very noisy and have different start and end points and sampling rates as shown in the figure below. I want to fit a robust average trajectory to the set of trajectories. I thought of fitting an Univariate spline using ..

I am trying to perform a multi peak Lorentzian fit on my data for my Physics class. I found an answer on this web site which was pretty close to my case but when I used it for my data it would fit only the first peak and ignore the second. I am attaching the ..