use plotpy::{generate3d, Contour, Plot, StrError}; fn main() -> Result<(), StrError> { // generate (x,y,z) matrices let n = 21; let (x, y, z) = generate3d(-2.0, 2.0, -2.0, 2.0, n, n, |x, y| x * x - y * y); // c
Data for tables or matrices can be entered directly or imported from ASCII files. Cell values in tables can be computed using standard and special functions (and much more if you have Python installed). Each table cell can be assigned an individual formula. Multi-level undo/redo for tables a...
The framework is written in PYTHON, however, it also requires the following software with the given versions (or newer): PYTHON version 3.4 or newer SigProfilerMatrixGenerator (recommended) QUICK START GUIDE This section will guide you through the minimum steps required to plot mutational matrices:...
With NumPy, 2D arrays are not a list of lists, they are true, full-blown matrices. The variable data is a NumPy 2D array, which give us the benefit of being able to manipulate rows and columns of a matrix as a 1D array. Indeed, in the line plt.plot(data[:,0], data[:,1]),...
matrices need to be combined into a single data frame and properly ordered. I achieve this by indexing each point in the consumer matrix with an odd number, and each point in the consumed species matrix with an even number. Then after combining the two different matrices, I can order them...
Hi, I have to plot and represent a bipartite network in such a way that there are two adjacency matrices, one which deals with the connection between partitions and one that deals with connections within the partition. For now, I'm taking each of the two partitions to have 2 nodes but ...
get_all_signature_matricesBooleanWrite to output Ws and Hs from all the NMF iterations (default:False) export_probabilitiesBooleanCreate the probability matrix (default:True). volumeStringPath to the volume for writing and loading reference genomes, plotting templates, and COSMIC signature plots (defau...
The output structure is divided into three folders: input, output, and logs. The input folder contains copies of the user-provided input files. The output folder contains a DBS, SBS, ID, and simulations folder. The matrices are saved into the appropriate folders, and the simulations are found...
Single-cell analysis in Python. Scales to >100M cells. - scanpy/scanpy/plotting/_dotplot.py at 1.8.x · scverse/scanpy
get_all_signature_matricesBooleanIf True, the Ws and Hs from all the NMF iterations are generated in the output. export_probabilitiesBooleanDefualt is True. If False, then doesn't create the probability matrix. sigprofilerextractor Example