idlsave | IDLSave - a python module to read IDL 'save ' files | Data Manipulation library

by astrofrog Python Version: Current License: Non-SPDX

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kandi X-RAY | idlsave Summary

idlsave is a Python library typically used in Utilities, Data Manipulation, Numpy applications. idlsave has no bugs, it has no vulnerabilities, it has build file available and it has low support. However idlsave has a Non-SPDX License. You can download it from GitHub.

IDLSave has now been merged into Scipy, and can be used as scipy.io.readsav. See:. for more details. IDLSave 1.0.0 is equivalent to scipy.io in Scipy 0.10.1. IDLSave is a pure python module to import variables from IDL 'save' files (e.g. .sav) into python, and does not require IDL to work. It has a very simple command-line interface, and converts all IDL variables to python types. Arrays are converted to Numpy arrays, and Structures are converted to Numpy record arrays.

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Quality

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Support

idlsave has a low active ecosystem.

It has 10 star(s) with 3 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 6 have been closed. On average issues are closed in 611 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of idlsave is current.

Quality

idlsave has no bugs reported.

Security

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

License

idlsave has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

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

Build file is available. You can build the component from source.

Installation instructions are not available. Examples and code snippets are available.

Top functions reviewed by kandi - BETA

kandi has reviewed idlsave and discovered the below as its top functions. This is intended to give you an instant insight into idlsave implemented functionality, and help decide if they suit your requirements.

Read an IDL file .
Read a record .
Replace variables in heap .
Reads a structdesc .
Reads the array description .
Read a numpy array .
Read a structure from a structure file .
Read data from file .
Reads a typedesc .
Read a tagdesc .

Get all kandi verified functions for this library.

idlsave Key Features

No Key Features are available at this moment for idlsave.

idlsave Examples and Code Snippets

No Code Snippets are available at this moment for idlsave.

Community Discussions

Trending Discussions on idlsave

Python: How to save *.dat-files as *.csv-files to new folder

QUESTION

Python: How to save *.dat-files as *.csv-files to new folder

Asked 2020-Mar-13 at 11:32

I have a folder with lots of *.dat files (which were created with the program IDL). I am able to take one single file, convert it to a *.csv file and save it in a different (already existing) folder:

...

ANSWER

Answered 2017-Jul-27 at 12:55

import csv
import idlsave
from os import listdir
from os.path import isfile, join, splitext

dat_folder = "/folder/to/dat/files/"
csv_folder = "/folder/to/save/new/csv/files/"

onlyfilenames = [f for f in listdir(dat_folder) if isfile(join(dat_folder,f))]
for fullfilename in onlyfilenames:
    file_name, file_extension = splitext(fullfilename)
    if file_extension == ".dat":
        input_file = idlsave.read(dat_folder + fullfilename)
        n = input_file["raw"]
        with open(join(csv_folder, file_name + ".csv"), "w", newline='') as f:
            writer = csv.writer(f)
            writer.writerows(n)

Source https://stackoverflow.com/questions/42837652

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

Vulnerabilities

No vulnerabilities reported

Install idlsave

You can download it from GitHub.
You can use idlsave 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 .

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