a uniform data structure that can represent an ndarray with various size along a given axis
I can use the following code to generate three dimensional array.
scipy
Histogram line of best fit line is jagged and not smooth?
I can’t quite seem to figue out how to get my curve to be displayed smoothly instead of having so many sharp turns.
I am hoping to show a boltzmann probability distribution. With a nice smooth curve.
Find leading and trailing valleys adjacent to 1-D local maxima with Python
The objective is to find the leading and trailing valleys from a list of local maxima in a 1-D signal, as illustrated in the figure below
NumPy array row differences
I have a NumPy array vectors = np.random.randn(rows, cols). I want to find differences between its rows according to some other array diffs which is sparse and “2-hot”: containing a 1 in its column corresponding to the first row of vectors and a -1 corresponding to the second row. Perhaps an example shall make it clearer:
how to calculate correlation coefficient for a scatter-plot in scipy
i am trying to calculate the correlation coefficient for a scatterplot with scipy, the thing is, i have a kind of complex dataset in an ndarray, and the basic syntax does not work for me…
How do I read CSV data into a record array in NumPy?
I wonder if there is a direct way to import the contents of a CSV file into a record array, much in the way that R’s read.table(), read.delim(), and read.csv() family imports data to R’s data frame?
Read .mat files in Python
Is it possible to read binary MATLAB .mat files in Python?
How to do exponential and logarithmic curve fitting in Python? I found only polynomial fitting
I have a set of data and I want to compare which line describes it best (polynomials of different orders, exponential or logarithmic).
Specifying and saving a figure with exact size in pixels
Say I have an image of size 3841 x 7195 pixels. I would like to save the contents of the figure to disk, resulting in an image of the exact size I specify in pixels.
Computing the correlation coefficient between two multi-dimensional arrays
I have two arrays that have the shapes N X T and M X T. I’d like to compute the correlation coefficient across T between every possible pair of rows n and m (from N and M, respectively).