diskarray | A resizable numpy array on disk | Compression library

 by   deep-compute Python Version: 0.2.0 License: MIT

kandi X-RAY | diskarray Summary

kandi X-RAY | diskarray Summary

diskarray is a Python library typically used in Utilities, Compression, Numpy applications. diskarray has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install diskarray' or download it from GitHub, PyPI.

A resizable and readable numpy array on disk. This module is built on numpy memmap used for accessing and modifying small segments of large files on disk, without reading the entire file into memory. This module also supports appending your numpy arrays to disk array at any time.
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            kandi-support Support

              diskarray has a low active ecosystem.
              It has 8 star(s) with 8 fork(s). There are 9 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 1 open issues and 4 have been closed. On average issues are closed in 515 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of diskarray is 0.2.0

            kandi-Quality Quality

              diskarray has no bugs reported.

            kandi-Security Security

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

            kandi-License License

              diskarray is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              diskarray releases are available to install and integrate.
              Deployable package is available in PyPI.
              Build file is available. You can build the component from source.
              Installation instructions, examples and code snippets are available.

            Top functions reviewed by kandi - BETA

            kandi has reviewed diskarray and discovered the below as its top functions. This is intended to give you an instant insight into diskarray implemented functionality, and help decide if they suit your requirements.
            • Extend the array
            • Truncate the ndarray
            • Create ndarray from fpath
            • Update the NDArray
            • Increment shape by n
            • Flush all data
            • Shape of given shape
            • Append a new item to the array
            Get all kandi verified functions for this library.

            diskarray Key Features

            No Key Features are available at this moment for diskarray.

            diskarray Examples and Code Snippets

            DiskArray,Usage,Importing
            Pythondot img1Lines of Code : 67dot img1License : Permissive (MIT)
            copy iconCopy
            >>> import numpy as np
            >>> from diskarray import DiskArray
            
            >>> data = np.array([[2 , 3, 4], [1, 2, 3]])
            
            # creating object to disk array
            >>> da = DiskArray('/tmp/disk.array', shape=(0, 3), capacity=(10, 3), growby  
            DiskArray,Usage,Interactive console
            Pythondot img2Lines of Code : 14dot img2License : Permissive (MIT)
            copy iconCopy
            # diskarray provides command to directly interact with it
            
            $ diskarray interact    --capacity  --growby  --mode 
            
            #  is the input file which is used to store disk arrys.
            #  is the size of the disk array.
            #  is the data type of the disk array.
            #  is t  
            DiskArray,Quick Example
            Pythondot img3Lines of Code : 10dot img3License : Permissive (MIT)
            copy iconCopy
            >>> import numpy as np
            >>> from diskarray import DiskArray
            
            >>> data = np.array([[2 , 3, 4], [1, 2, 3]])
            
            >>> da = DiskArray('/tmp/disk.array', shape=(0, 3), dtype=np.float32)
            
            >>> da.extend(data)
            
            >>  

            Community Discussions

            QUESTION

            Powershell - ensuring uppercase drive letters
            Asked 2020-Jun-14 at 15:56

            I am logging into the VM and manually initializing the newly added disk partitioning it and creating volume. My question is : I want to use upper case for drive letters. I have checked inside variable.

            ...

            ANSWER

            Answered 2020-Jun-14 at 15:56

            To summarize and complement the helpful information from the comments on the question:

            tl;dr

            Windows PowerShell:

            Source https://stackoverflow.com/questions/62370861

            QUESTION

            Azure RM Template. Multiple VMs with multiple data disks
            Asked 2017-Jun-29 at 07:28

            I'm trying to create a template that will deploy Multiple VMs with variable ammount of multiple data disks by using copy function. I'm following documentation precisely, but my deployment still fails. https://docs.microsoft.com/en-us/azure/azure-resource-manager/resource-group-create-multiple#create-multiple-instances-when-copy-wont-work Please, help me fix this. azuredeploy.json:

            ...

            ANSWER

            Answered 2017-Jun-29 at 07:28

            So, the asker want's to have dynamic amount of disks with several vm's, so I had to use the nested template approach. For some reason formating breaks if I paste it here, so:

            https://github.com/4c74356b41/armotron/blob/master/ml-vm-ml-dd.json

            this whole thing doesn't make sense now. You should use the properties copy now:
            https://github.com/rjmax/Build2017/blob/master/Act1.TemplateEnhancements/Chapter02.PropertyCopies.json

            Source https://stackoverflow.com/questions/41991383

            QUESTION

            error while calling function from another class: A field initializer cannot reference the non static field,method,or property
            Asked 2017-Jun-13 at 06:18

            I'm getting this error while calling the public method getSerialNumberFromDriveLetter of class USBDriveSerialNumber from class Form1.

            Error : A field initializer cannot reference the non static field,method,or property.

            My code

            ...

            ANSWER

            Answered 2017-Jun-13 at 06:01

            you should call getSerialNumberFromDriveLetter method inside constructor or create a new method

            Source https://stackoverflow.com/questions/44513120

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

            Vulnerabilities

            No vulnerabilities reported

            Install diskarray

            You can install using 'pip install diskarray' or download it from GitHub, PyPI.
            You can use diskarray 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.

            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:

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            Install
          • PyPI

            pip install diskarray

          • CLONE
          • HTTPS

            https://github.com/deep-compute/diskarray.git

          • CLI

            gh repo clone deep-compute/diskarray

          • sshUrl

            git@github.com:deep-compute/diskarray.git

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