cdflib | python module for reading NASA | Dataset library

by MAVENSDC Python Version: 1.3.1 License: MIT

X-Ray Key Features Code Snippets(3)Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | cdflib Summary

cdflib is a Python library typically used in Artificial Intelligence, Dataset, Numpy applications. cdflib has no vulnerabilities, it has a Permissive License and it has low support. However cdflib has 13 bugs and it build file is not available. You can install using 'pip install cdflib' or download it from GitHub, PyPI.

cdflib is a python module to read/write CDF (Common Data Format .cdf) files without needing to install the CDF NASA library. Python ≥ 3.6 is required. This module uses only Numpy, no complicated prereqs.

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Quality

Security

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Support

cdflib has a low active ecosystem.

It has 77 star(s) with 39 fork(s). There are 10 watchers for this library.

There were 5 major release(s) in the last 12 months.

There are 21 open issues and 44 have been closed. On average issues are closed in 346 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of cdflib is 1.3.1

Quality

cdflib has 13 bugs (8 blocker, 0 critical, 5 major, 0 minor) and 402 code smells.

Security

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

cdflib code analysis shows 0 unresolved vulnerabilities.

There are 46 security hotspots that need review.

License

cdflib is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

cdflib releases are available to install and integrate.

Deployable package is available in PyPI.

cdflib has no build file. You will be need to create the build yourself to build the component from source.

Installation instructions, examples and code snippets are available.

cdflib saves you 2715 person hours of effort in developing the same functionality from scratch.

It has 5884 lines of code, 211 functions and 11 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

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

Create a CDF file from a dataset
Closes the file
Set the current position
Compute the MD5 hash of a file
Convert a CDF file into an xarray object
Converts a CDF file into a Python dictionary
Convert data types to time types
Get attribute value
Find the epoch range for the given epoch
Read a GDR header
Handler for file or url
Converts cdf to unix time
Read a GDR2 GDR2 tag
Reads a CDR2 header
Get an epoch range for the given epoch range
Validates the MD5 file
Uncompress the cdf file
Convert a time series into a list of datetime objects
Unstream a file
Convert cdf to a list of epochs
Compute the CDF epoch
Read a CDR
Write a CDR header
Parse a CDF epoch
Write the GDR header
Encode the given datetimes

Get all kandi verified functions for this library.

cdflib Key Features

No Key Features are available at this moment for cdflib.

cdflib Examples and Code Snippets

getVersion()

Python

Lines of Code : 85

License : Permissive (MIT)

Copy

CDF_EPOCH: 'dd-mon-year hh:mm:ss.mmm'
CDF_EPOCH16: 'dd-mon-year hh:mm:ss.mmm.uuu.nnn.ppp'
CDF_TIME_TT2000: 'year-mm-ddThh:mm:ss.mmmuuunnn'

import cdfwrite
import cdfread
import numpy as np

cdf_master = cdfread.CDF('/path/to/master_file.cdf')
if (cd

write_globalattrs (globalAttrs)

Python

Lines of Code : 16

License : Permissive (MIT)

Copy

globalAttrs={}
globalAttrs['Global1']={0: 'Global Value 1'}
globalAttrs['Global2']={0: 'Global Value 2'}

globalAttrs['Global3']={0: [12, 'cdf_int4']}
globalAttrs['Global4']={0: [12.34, 'cdf_double']}

globalAttrs['Global3']={0: 12}     as 'cdf_int4'

write_variableattrs (variableAttrs)

Python

Lines of Code : 15

License : Permissive (MIT)

Copy

variableAttrs={}
entries_1={}

entries_1['var_name_1'] = 'abcd'
entries_1['var_name_2'] = [12, 'cdf_int4']
....
variableAttrs['attr_name_1'] = entries_1

entries_2={}
entries_2['var_name_1'] = 'xyz'
entries_2['var_name_2'] = [[12, 34], 'cdf_int4']
..

Community Discussions

Trending Discussions on cdflib

Accuracy of non-central chi-squared distribution implementation in scipy

QUESTION

Accuracy of non-central chi-squared distribution implementation in scipy

Asked 2018-Apr-19 at 12:52

The implementation of the non-central chi-squared distribution in scipy (scipy.stats.ncx2, scipy.special.chndtr) is not accurate for large values of the non-centrality parameter. E.g. consider

...

ANSWER

Answered 2018-Apr-19 at 12:52

Answering my own question, in case it is useful to someone: the R implementation of the non-central chi-squared distribution can be accessed from python using rpy2 as follows (adapting the example above):

Source https://stackoverflow.com/questions/49769952

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

Vulnerabilities

No vulnerabilities reported

Install cdflib

To install, open up your terminal/command prompt, and type:. There are two different CDF classes: a cdf reader, and a cdf writer. Currently, you cannot simultaneously read and write to the same file. Future implementations, however, will unify these two classes.

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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