Get two dimensional arrayInstead, what if you have to use pyexcel.get_array to do the same:>>> for row in p.get_array(file_name="your_file.xls", start_row=1): ... print(f"{row[2]} are from {row[0]} period ({row[1]})") Machaut, Landini are from Medieval period (c....
Three-dimensional (3D) imaging of thin, extended specimens at nanometer resolution is critical for applications in biology, materials science, advanced synthesis, and manufacturing. One route to 3D imaging is tomography, which requires a tilt series of a local region. However, capturing images at ...
Current methods for analyzing single-cell datasets have relied primarily on static gene expression measurements to characterize the molecular state of individual cells. However, capturing temporal changes in cell state is crucial for the interpretation o
Here, we considered the objective that arguably has been the main driver of single-cell RNA-seq development and applications so far: understanding the variety of cell types and states in terms of a lower-dimensional mathematical structure, such as a planar embedding, a clustering, trajectories, ...
While several commercial platforms have enabled researchers to use single-cell sequencing methods with relative ease and at reasonable cost, the analysis of the high-dimensional scRNA-seq data still remains challenging [6,7]. The main technical downside of single-cell sequencing that impedes downstream...
Diffusion maps for high-dimensional single-cell analysis of differentiation data. Bioinformatics. 2015;31(18):2989–98. https://doi.org/10.1093/bioinformatics/btv325. Article PubMed CAS Google Scholar Rizvi AH, Camara PG, Kandror EK, Roberts TJ, Schieren I, Maniatis T, et al. Single-cell...
However, the application of high dimensional approaches such as mass cytometry and single-cell RNA sequencing (scRNA-seq) has revealed finer levels of heterogeneity, leading to the identification of subpopulations in both healthy and diseased states and across various tissues (Passlick et al., 1989...
Three-dimensional information is obtained using an XFEL by using re-producible particles delivered to the X-ray laser pulses one at a time. In this manner, thousands to hundreds of thousands of diffraction patterns with random orientations are recorded by large pixel array detectors. Using ...
Python Code :# Importing the NumPy library with an alias 'np' import numpy as np # Creating a one-dimensional array 'nums' containing numbers from 1 to 20 nums = np.arange(1, 21) # Printing a message indicating a one-dimensional array of single-digit numbers print("One-dimensional ...
Converting list of numpy arrays into single numpy arraySuppose that we are given a list of 2-dimensional numpy arrays and we need to convert this list into a single 2-dimensional numpy array.Hence, we need to stack each of the numpy array one below another. For this purpose, we will ...