npyio | npyio provides read/write access to numpy data files

 by   sbinet Go Version: v0.5.1 License: BSD-3-Clause

kandi X-RAY | npyio Summary

kandi X-RAY | npyio Summary

npyio is a Go library typically used in Big Data, Numpy applications. npyio has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

npyio-ls is a command using github.com/sbinet/npyio (located under github.com/sbinet/npyio/cmd/npyio-ls) to display the content of a (list of) NumPy data file(s).
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            kandi-support Support

              npyio has a low active ecosystem.
              It has 43 star(s) with 4 fork(s). There are 5 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 2 open issues and 5 have been closed. On average issues are closed in 1 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of npyio is v0.5.1

            kandi-Quality Quality

              npyio has no bugs reported.

            kandi-Security Security

              npyio has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              npyio is licensed under the BSD-3-Clause License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              npyio releases are available to install and integrate.
              Installation instructions, examples and code snippets are available.

            Top functions reviewed by kandi - BETA

            kandi has reviewed npyio and discovered the below as its top functions. This is intended to give you an instant insight into npyio implemented functionality, and help decide if they suit your requirements.
            • Read reads data from the Reader .
            • writeData converts rt to w .
            • Dump dumps the zip file to io . WriterAt .
            • newDtype creates a DType from a string .
            • dtypeFrom returns the dtype of rt .
            • writeHeader writes a DType to w .
            • main entry point
            • Open opens a zip file .
            • stringLen returns the length of a string .
            • sizeof returns the size of the file in r .
            Get all kandi verified functions for this library.

            npyio Key Features

            No Key Features are available at this moment for npyio.

            npyio Examples and Code Snippets

            Writing a .npy file with npyio.Write
            Godot img1Lines of Code : 27dot img1License : Permissive (BSD-3-Clause)
            copy iconCopy
            package main
            
            import (
            	"log"
            	"os"
            
            	"github.com/sbinet/npyio"
            )
            
            func main() {
            	f, err := os.Create("data.npy")
            	if err != nil {
            		log.Fatal(err)
            	}
            	defer f.Close()
            
            	m := []float64{0, 1, 2, 3, 4, 5}
            	err = npyio.Write(f, m)
            	if err != nil {
            		log  

            Community Discussions

            QUESTION

            Add dates in format YY-MM-DD for each row of an ascii file using python
            Asked 2021-Jun-03 at 10:54

            I have several ascii files including daily values for each month. For example I have the following file for month January

            ...

            ANSWER

            Answered 2021-Jun-03 at 10:54

            Here's a solution using DataFrames:

            Source https://stackoverflow.com/questions/67817962

            QUESTION

            3D quiver plot video using 3D arrays
            Asked 2021-Apr-25 at 13:54

            I am attempting to create a 3d quiver plot of velocity vectors, using 3 arrays containing the vectors in x, y, z space with respect to time. I.e. a video of the quiver plot. Can someone help with this? I have showed the error message below from running the code as it is.

            For example one frame of the output should look a bit like this:

            Main code: part 1 and part 2. Also here:

            (Note this code was successfully used for the 2D version now being upgraded to 3D)

            ...

            ANSWER

            Answered 2021-Apr-25 at 13:54

            I have had to record a 2D quiver plot a while back.

            The approach I used, was:

            1. Create the figure you want using.
            2. Convert the fig to an image (a numpy array)
            3. Use opencv-python (cv2), to write the output.
            Fig to arr

            Source https://stackoverflow.com/questions/67216711

            QUESTION

            ValueError: Object arrays cannot be loaded when allow_pickle=False
            Asked 2021-Mar-24 at 14:49

            I tried to get solution for this code , hoping for a positive response

            ...

            ANSWER

            Answered 2021-Mar-24 at 14:21

            QUESTION

            Numpy savetxt method produces strange hex characters
            Asked 2021-Jan-23 at 02:14

            I am have some strange issue with the numpy package in Python 3.8.6. I am trying to write numpy arrays of float64, but sometimes it writes instead hexadecimal characters to the file: \x00\x00...

            Here is the code I am running:

            ...

            ANSWER

            Answered 2021-Jan-23 at 02:14

            Actually it turns out this was caused by the iCloud Drive syncing. Once turned off, I no longer had this issue.

            Source https://stackoverflow.com/questions/65852398

            QUESTION

            Loading n-dimensional tensor for pytorch from text file
            Asked 2020-Nov-19 at 20:49

            I have a 3-dimensional tensor that I create outside of my python code and am able to encode in any human-readable format. I need to load the values of this tensor as a frozen layer to my pytorch NN. I've tried to encode the tensor as a text file in the form [[[a,b],[c,d]], [[e,f], [g,h]], [[k,l],[m,n]]] which seemed to be the most logical way for that. Then I tried to read its value via

            ...

            ANSWER

            Answered 2020-Nov-19 at 20:49

            Did you try using Python's built-in eval? In case you saved your tensor as a list in text file you may try something as follows:

            Source https://stackoverflow.com/questions/64913854

            QUESTION

            Numpy with loadtxt
            Asked 2020-Sep-30 at 00:34

            For the code I am writing, I need to convert a .dat file with a list of numbers and a header into a numpy array. I must then reshape each data array into an 89x125 rectangle. I am having trouble converting the file to each variable that corresponds with the set of values. Any help would be helpful I find using numpy very confusing.

            First lines of .dat file:

            ...

            ANSWER

            Answered 2020-Sep-30 at 00:34

            Adding delimiter to your call:

            Source https://stackoverflow.com/questions/64129020

            QUESTION

            How to use pyinstaller with matplotlib in use
            Asked 2020-Sep-26 at 15:15

            I have this script that I attached a GUI to the front of and wanted to distribute it to other DnD DMs for them to use to overlay grids onto images. Only issue is that everytime I try to package the python script using Pyinstaller, it keeps throwing two different errors. If I run pyinstaller --hidden-import matplotlib myscript.py it returns

            ...

            ANSWER

            Answered 2020-Sep-26 at 15:15

            You can try to solve this problem by installing older versions of the matplotlib package. eg:

            Source https://stackoverflow.com/questions/63163027

            QUESTION

            assert equal for numpy object
            Asked 2020-Sep-16 at 17:47

            I have 2 npz files I'd like to compare through an assert from numpy testing module:

            https://numpy.org/doc/stable/reference/routines.testing.html

            From documentation I understood that .npz files are loaded as instance :

            https://docs.scipy.org/doc/numpy-1.10.1/reference/generated/numpy.load.html https://www.kite.com/python/docs/numpy.lib.npyio.NpzFile

            From my understanding I thought .npz files were dict but they are loaded as instance and I end up with this error :

            ...

            ANSWER

            Answered 2020-Sep-16 at 17:47

            While assert_equal is able to handle numpy objects inside simple Python containers like dict and list, it's not flexible enough to handle more generic containers. And the object returned by load is not actually a dictionary or a subclass of a dictionary. It's just a "dictionary-like object," so assert_equal doesn't know what to do with it.

            Fortunately this is quite easy to handle. We can explicitly convert the objects to dictionaries:

            Source https://stackoverflow.com/questions/63917844

            QUESTION

            TypeError: 'NoneType' object is not iterable - but still seems to iterate through the list?
            Asked 2020-Aug-31 at 12:01

            I'm pretty new to coding so thanks for any help, and sorry if this is obvious.

            ...

            ANSWER

            Answered 2020-Aug-16 at 08:56

            Got instead.

            This error message clearly states the problem... os.path.isfile(full_path) returns False so get_yolo_file returns None.

            So txt_fname == None. And as the error says, the file path for np.genfromtxt can't be None.

            So instead of 'printing' an error (print('ERROR')) you should do something like this:

            Source https://stackoverflow.com/questions/63428677

            QUESTION

            Array reshape error when loading word2vec model
            Asked 2020-Aug-14 at 23:08

            I have the following piece of code:

            ...

            ANSWER

            Answered 2020-Aug-14 at 23:08

            I checked what @gojomo referred to in the comments and he was correct, my file sizes were wrong. Something must have happened during upload. For large models, word2vec saves the model in 3 files. Assuming your model name is "model2" you will have:

            1. model2
            2. model2.trainables.syn1neg.npy
            3. model2.wv.vectors.npy

            My .wv.vectors.npy was a few kilo bytes too small than the version in my other machine.

            Source https://stackoverflow.com/questions/63419318

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install npyio

            Is done via go get:.

            Support

            Is available on [godoc](https://godoc.org/github.com/sbinet/npyio).
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            https://github.com/sbinet/npyio.git

          • CLI

            gh repo clone sbinet/npyio

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            git@github.com:sbinet/npyio.git

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