readmat | Python package with helpful functions | Data Manipulation library
kandi X-RAY | readmat Summary
kandi X-RAY | readmat Summary
readmat is a Python package with helpful functions for loading .mat MATLAB files into Python. Most data types are supported.
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Top functions reviewed by kandi - BETA
- Load data from a file .
- load mat - objects from file
- load a matplotlib object
- convert a MAT file to a dictionary
- returns the options of a matobj
- Initialize from a dictionary .
- String representation of the object .
readmat Key Features
readmat Examples and Code Snippets
Community Discussions
Trending Discussions on readmat
QUESTION
I am trying to read a large matrix into R. The matrix has dimensionality: 3'987'288 x 93 and is about 3GB large. (Class = double) It is saved as a .mat file (it is not a v7.3 .mat file)
I tried to read the matrix with the R.matlab package:
...ANSWER
Answered 2022-Mar-20 at 01:38Apparently V7.3 is not the only incompatible mat file version. As stated in the RDocuments,
readMat: Reads a MAT file structure from a connection or a file Description
Reads a MAT file structure from a connection or a file. Both the MAT version 4 and MAT version 5 file formats are supported.
And long story short, version 4 and version 5 cannot save such large dataset in one file. I think at least 2 solutions are straight forward:
Exchange data in a different file format, e.g. HDF5 or SQlite. Such files are well supported both in R and matlab and do not have the compatibility issue.
Save mat file in matlab in version 4 with the '-v4' switch, but there is an upper size limit in version 4, so you'll likely need to split you data across multiple files.
QUESTION
i'm trying to create a function that sets to 0 the value of every matrix element a[i][j] which is divisible by both i and j. I tried to do it this way but the program just "exits" without giving any error or warning after the matrix=editMat(matrix, nrows, ncols);
line.
ANSWER
Answered 2022-Mar-02 at 18:33Just figured out i was trying to divide a number by 0, since i and j were both initialized to 0
QUESTION
I have located a .MAT file that contains data that I wish to view in .CSV format, and I do not have a MATLAB license.
Happily, there is an R.matlab package, with a readMat function that enables reading .MAT files into R.
Unhappily, the product of applying readMat to my .MAT file is not a data frame, and I've been struggling all morning trying to figure out how to convert the readMat output into a data frame so that I can export the data as a .CSV file.
Here's the start of my R script:
...ANSWER
Answered 2021-Jan-05 at 17:44Solution (thanks to Ian Campbell):
Note: The column names are wonky, but the data were successfully extracted and exported into a .CSV file!
QUESTION
I have a .mat file containing a matrix of 41 columns and 83 rows of binary values. I have imported it using library('R.matlab')
such that ag <- readMat(file.choose(), header = TRUE)
. I am trying to plot this file like a raster/heatmap, but having no success. I have tried with ggplot2
, plot.matrix
, and raster
.
ANSWER
Answered 2020-Aug-24 at 21:43The class of the ag
object is list
, with a single element (the matrix mat.agr
).
QUESTION
I'm new to tidyverse and I'm trying to read in a Matlab .mat data structure and convert it to a tidyverse data frame but get an error setting the column headers.
...ANSWER
Answered 2020-Aug-20 at 11:04Try:
QUESTION
I was trying to generate Delaunay triangulation in R using the spatstat function 'delaunay'. However, I checked the documentation and seems there is no argument to set the maximum length. I noticed this post: How to set maximum length of triangle side in Delaunay triangulation in R? This seems done the same thing as I want, but as my point pattern is large so that I would prefer a simple and quick solution. Thank you!
Here is my code:
...ANSWER
Answered 2020-Jul-30 at 02:15The Delaunay triangulation is a mathematically defined triangulation that does not involve the concept of a maximum segment length. If you want to constrain the maximum length of the segments in the triangulation, then it's not a Delaunay triangulation any more, and the algorithm for computing the Delaunay triangulation is not applicable.
You will have to specify what you want to happen when you impose a limit on the segment length. Should the algorithm just delete the edges which are too long? Delete the triangles that have an edge which is too long? If you delete stuff then the result is no longer a triangulation of the original points. Do you want to produce a different triangulation?
If X
is your point pattern, then
QUESTION
I have developed the UI using the PyQt5, now i am converting the code into standalone application using Pyinstaller, but the problem is the file size is coming huge (nearly 250MB). Can i reduce the size of my file but excluding the unnecessary imports of PyQt5. Following the libraries i have used -
...ANSWER
Answered 2020-Feb-18 at 09:22PyInstaller has a hook mechanism for each package and it handles the binaries needed for the packages.
For some well-known libraries like Qt, it implements an efficient hook file that only retrieves the necessary binaries. But if you want to exclude some parts you need to do it by yourself either by using exclude command or manipulating the hook file:
By excluding the unnecessary modules with
--exclude-module
. Usually, this would be enough.By modifying the specific hook file and remove the binaries you don't need.
For example, in Qt's hook file (
/utils/hooks/qt.py
), there is a variable called_qt_dynamic_dependencies_dict
and has all the binaries which located in/Qt/bin
so you can remove each one you don't need.Later in a function called
get_qt_binaries
which bundles other Qt binaries, you can remove each one you don't need likeopengl32sw.dll
.
For example:
QUESTION
In this code I am getting numbers from a file, when the first number is the size of the 2D array.
In my code I'm defining
...ANSWER
Answered 2020-Jan-23 at 21:17char *filename = new char;
filename = "text.txt";
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Install readmat
You can use readmat like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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