ndarray | dimensional array with array views | Machine Learning library

 by   rust-ndarray Rust Version: 0.15.6 License: Apache-2.0

kandi X-RAY | ndarray Summary

kandi X-RAY | ndarray Summary

ndarray is a Rust library typically used in Artificial Intelligence, Machine Learning, Numpy applications. ndarray has no bugs, it has no vulnerabilities, it has a Permissive License and it has medium support. You can download it from GitHub.

ndarray: an N-dimensional array with array views, multidimensional slicing, and efficient operations
Support
    Quality
      Security
        License
          Reuse

            kandi-support Support

              ndarray has a medium active ecosystem.
              It has 2812 star(s) with 256 fork(s). There are 52 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 185 open issues and 405 have been closed. On average issues are closed in 682 days. There are 42 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of ndarray is 0.15.6

            kandi-Quality Quality

              ndarray has no bugs reported.

            kandi-Security Security

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

            kandi-License License

              ndarray is licensed under the Apache-2.0 License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              ndarray releases are not available. You will need to build from source code and install.

            Top functions reviewed by kandi - BETA

            kandi's functional review helps you automatically verify the functionalities of the libraries and avoid rework.
            Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of ndarray
            Get all kandi verified functions for this library.

            ndarray Key Features

            No Key Features are available at this moment for ndarray.

            ndarray Examples and Code Snippets

            Calculate ndarray .
            pythondot img1Lines of Code : 254dot img1License : Non-SPDX (Apache License 2.0)
            copy iconCopy
            def gather_nd(params, indices, name=None, batch_dims=0):
              r"""Gather slices from `params` into a Tensor with shape specified by `indices`.
            
              `indices` is a `Tensor` of indices into `params`. The index vectors are
              arranged along the last axis of `  
            Make a ndarray from a tensor .
            pythondot img2Lines of Code : 84dot img2License : Non-SPDX (Apache License 2.0)
            copy iconCopy
            def MakeNdarray(tensor):
              """Create a numpy ndarray from a tensor.
            
              Create a numpy ndarray with the same shape and data as the tensor.
            
              For example:
            
              ```python
              # Tensor a has shape (2,3)
              a = tf.constant([[1,2,3],[4,5,6]])
              proto_tensor =   
            Convert x to ndarray .
            pythondot img3Lines of Code : 33dot img3License : Non-SPDX (Apache License 2.0)
            copy iconCopy
            def ndtr(x, name="ndtr"):
              """Normal distribution function.
            
              Returns the area under the Gaussian probability density function, integrated
              from minus infinity to x:
            
              ```
                                1       / x
                 ndtr(x)  = ----------  |    exp(-0.5   

            Community Discussions

            QUESTION

            How can I change all specific values of a image (3D NumPy array) at once in python?
            Asked 2021-Jun-14 at 12:23

            I want to change all specific values in a 3D Ndarray image file.
            I'm working on mapping a colormap to an image file.

            For example :

            ...

            ANSWER

            Answered 2021-Jun-14 at 12:23

            You can speed up the process by getting rid of the two for loops. If you used np.where or np.all inside the loop, then this is no wonder it took time.

            I mostly have the feeling that you don't use numpy at its best... But whatever... So to remove the for loops I would advise you to do something like:

            Source https://stackoverflow.com/questions/67969467

            QUESTION

            Videos are playing too fast using OpenCV and PyQT5
            Asked 2021-Jun-14 at 10:44

            My GUI is able to play videos automatically when selected in the QListWidget. However, instead of normal speed, the videos play very fast. I use 720p Mp4 videos as examples and are placed in a certain folder. I tried using cv2.CAP_PROP_FPS and cv2.CAP_PROP_BUFFERSIZE, but they are both not working. I am using pyqtSignal in the QThread and the convert_cv_qt function which I saw in other guides. How do I play the videos in normal speed / frame rate?

            ...

            ANSWER

            Answered 2021-Jun-14 at 10:44

            When you use VideoCapture with a file if you call "cap.read()" you will obtain the next frame on the video, regardless of its actual framerate. Hence, you should use a "msleep" every time you capture a frame:

            Source https://stackoverflow.com/questions/67021922

            QUESTION

            How to write image with palette information?
            Asked 2021-Jun-14 at 09:44

            I want to create a PNG image file with palette information in Python using Pillow and/or pypng.

            The input is:

            1. Palette information

              ...

            ANSWER

            Answered 2021-Jun-14 at 09:38

            Here's some demonstration code to convert an existing RGB image to some indexed color image. Please keep in mind, that Pillow only allows storing 256 different colors in some color palette, cf. Image.putpalette. So, make sure to have your input images not containing more than 256 different colors.

            Also, I will assume, that the palette is known before, and that all colors in the existing RGB image are exclusively from that palette. Otherwise, you'd need to add code for extracting all colors, and setting up a proper palette beforehand.

            Source https://stackoverflow.com/questions/67967366

            QUESTION

            AttributeError: 'numpy.ndarray' object has no attribute 'op'
            Asked 2021-Jun-13 at 18:26

            I am have a time series data and I am trying to build and train an LSTM model over it. I have 1 input and 1 Output corresponding to my model. I am trying to build a Many to Many model where Input length is exactly equal to output length.

            The shape of my inputs are X --> (1700,70,401) (examples, Timestep, Features)

            Shape of my output is Y_1-->(1700,70,3) (examples, Timestep, Features)

            Now When I am trying to approach this problem via sequential API everything is running fine.

            ...

            ANSWER

            Answered 2021-Jun-13 at 18:26

            I made a mistake in the code itself while executing the Model part of in the functional API version.

            Source https://stackoverflow.com/questions/67880921

            QUESTION

            numpy.ndarray' object has no attribute 'append' - error comes up when creating stack using numpy
            Asked 2021-Jun-13 at 04:41
            I want to create a stack using numpy

            I tried following code but "numpy.ndarray' object has no attribute 'append' " this error comes I tried replace the append with other attributes , but any of those methods didnt work for me . can someone run the codes in your pc and suggest me a way to fix this.

            ...

            ANSWER

            Answered 2021-Jun-13 at 04:41

            You can define your class e.g. as:

            Source https://stackoverflow.com/questions/67951257

            QUESTION

            Numpy slicing with list
            Asked 2021-Jun-11 at 18:42

            I'm trying to slice an Ndarray a with a list b. But the behaviour is not as I would expect it. What do I have to change to get the wanted result?

            ...

            ANSWER

            Answered 2021-Jun-11 at 18:42

            Try replacing : with slice(None) and unpacking b:

            Source https://stackoverflow.com/questions/67940324

            QUESTION

            How to compare an array against a list of arrays?
            Asked 2021-Jun-11 at 14:33

            Suppose I have a list that contains a bunch of numpy ndarrays (or even torch Tensors):

            ...

            ANSWER

            Answered 2021-Feb-15 at 22:57

            I would use numpy arrays the whole way through:

            Source https://stackoverflow.com/questions/66216261

            QUESTION

            Implementation of Principal Component Analysis from Scratch Orients the Data Differently than scikit-learn
            Asked 2021-Jun-11 at 14:09

            Based on the guide Implementing PCA in Python, by Sebastian Raschka I am building the PCA algorithm from scratch for my research purpose. The class definition is:

            ...

            ANSWER

            Answered 2021-Jun-11 at 12:52

            When calculating an eigenvector you may change its sign and the solution will also be a valid one.

            So any PCA axis can be reversed and the solution will be valid.

            Nevertheless, you may wish to impose a positive correlation of a PCA axis with one of the original variables in the dataset, inverting the axis if needed.

            Source https://stackoverflow.com/questions/67932137

            QUESTION

            Failed to convert a NumPy array ((the whole sequence is a string)) to a Tensor, in genome sequence classification for CNN?
            Asked 2021-Jun-10 at 21:54

            The data is basically in CSV format, which is a fasta/genome sequence, basically the whole sequence is a string. To pass this data into a CNN model I convert the data into numeric. The genome/fasta sequence, which I want to change into tensor acceptable format so I convert this string into float e.g., "AACTG,...,AAC.." to [[0.25,0.25,0.50,1.00,0.75],....,[0.25,0.25,0.50.....]]. But the conversion data shows like this (see #data show 2). But, when I run tf.convert_to_tensor(train_data) it gives me an error of Failed to convert a NumPy array to a Tensor (Unsupported object type numpy.ndarray). But in order to pass the data into CNN model, it has to be a tensor, but I don't know why it gives an error! What will be the solution to it?

            ...

            ANSWER

            Answered 2021-Jun-10 at 21:47

            The problem is probably in your numpy array dtype.

            Using array with dtype float32 should fix problem: tf.convert_to_tensor(train_data.astype(np.float32))

            Source https://stackoverflow.com/questions/67928717

            QUESTION

            Saving 4D array without losing its format
            Asked 2021-Jun-10 at 17:43

            I have this 4D array (numpy.ndarray) that I need to save in a way that its format does not change as I save it (since it should remain unchanged), and then reuse it in my Google Colab file. I have tried saving it in different formats and when I upload it and preview it within my code, the previous format is no longer preserved even when I save it in the .npy format. I have also tried importing the date using the raw link from my GitHub repository or uploading it from my local device, but still no chance. I would appreciate your comments regarding the issue!

            Further elaboration:

            Here is the code that I use to generate my 4D array:

            ...

            ANSWER

            Answered 2021-Jun-10 at 17:43

            Usual np.save, np.load works

            Source https://stackoverflow.com/questions/67925041

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

            Vulnerabilities

            No vulnerabilities reported

            Install ndarray

            You can download it from GitHub.
            Rust is installed and managed by the rustup tool. Rust has a 6-week rapid release process and supports a great number of platforms, so there are many builds of Rust available at any time. Please refer rust-lang.org for more information.

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
            Find more information at:

            Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items

            Find more libraries
            CLONE
          • HTTPS

            https://github.com/rust-ndarray/ndarray.git

          • CLI

            gh repo clone rust-ndarray/ndarray

          • sshUrl

            git@github.com:rust-ndarray/ndarray.git

          • Stay Updated

            Subscribe to our newsletter for trending solutions and developer bootcamps

            Agree to Sign up and Terms & Conditions

            Share this Page

            share link