opendatasets | Python library for downloading datasets | Machine Learning library

by JovianML Python Version: 0.1.22 License: MIT

X-Ray Key Features Code Snippets Community Discussions(6)Vulnerabilities Install Support

kandi X-RAY | opendatasets Summary

opendatasets is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Numpy, Pandas applications. opendatasets 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 opendatasets' or download it from GitHub, PyPI.

opendatasets is a Python library for downloading datasets from online sources like Kaggle and Google Drive using a simple Python command.

Support

Quality

Security

License

Reuse

Support

opendatasets has a low active ecosystem.

It has 164 star(s) with 80 fork(s). There are 12 watchers for this library.

It had no major release in the last 12 months.

There are 1 open issues and 1 have been closed. On average issues are closed in 4 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of opendatasets is 0.1.22

Quality

opendatasets has 0 bugs and 10 code smells.

Security

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

opendatasets code analysis shows 0 unresolved vulnerabilities.

There are 7 security hotspots that need review.

License

opendatasets 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

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

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.

It has 433 lines of code, 39 functions and 18 files.

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

Top functions reviewed by kandi - BETA

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

Download a file from Google Drive .
Download a file .
Download a Kaggle dataset .
Extract an archive .
Download a dataset .
Download a file from Google Drive .
Read kaggle credentials .
Gets Kaggle dataset ID .
Get Google Drive File ID .
Save response content to destination .

Get all kandi verified functions for this library.

opendatasets Key Features

No Key Features are available at this moment for opendatasets.

opendatasets Examples and Code Snippets

No Code Snippets are available at this moment for opendatasets.

Community Discussions

Trending Discussions on opendatasets

'[Errno 13] Permission denied' - Jupyter Labs on AWS SageMaker

How to run kaggle datasets on vscode on jupyter notebook?

How to plot a windrose when the wind direction is a categorical value

Importing Open Data set giving attribute error

Run.get_context() gives the same run id

Azure machine learning failing on sample for training

QUESTION

'[Errno 13] Permission denied' - Jupyter Labs on AWS SageMaker

Asked 2021-Dec-13 at 14:43

I'm using a Jupyter Lab instance on AWS SageMaker.

Kernel: conda_mxnet_latest_p37.

url_lib contains some false urls, that I exception handle.

...

ANSWER

Answered 2021-Dec-13 at 14:43

download has a forward-slash / as first character of save directory (second parameter). I removed this:

Source https://stackoverflow.com/questions/70335470

QUESTION

How to run kaggle datasets on vscode on jupyter notebook?

Asked 2021-Aug-30 at 08:01

I am trying to connect the Kaggle kernel to the Jupyter notebook on VSCode. I have downloaded the Kaggle API for one of the projects and installed Kaggle in Jupiter notebook by doing:

...

ANSWER

Answered 2021-Aug-30 at 08:01

Have you got a prompt like this in the screenshot?

If I press ESC I will get the output like you.

Source https://stackoverflow.com/questions/68963578

QUESTION

How to plot a windrose when the wind direction is a categorical value

Asked 2021-Aug-07 at 19:52

From Dataset Australia Rainfall, I'm trying to predict RainTomorrow. Here is my code given below :

Downloading dataset directly from Kaggle using opendatasets library ...

ANSWER

Answered 2021-Aug-07 at 19:21

It seems that the direction parameter must be numeric.
Create a dict where each key is a each direction in 'WindGustDir' and the corresponding value is a float in degrees.
.map the dict to df.WindGustDir and plot
Alternatively, create and plot a new column
- df.insert(loc=8, column='WindGustDirDeg', value=df.WindGustDir.map(wind_dir_deg))

Source https://stackoverflow.com/questions/68692408

QUESTION

Importing Open Data set giving attribute error

Asked 2020-Oct-08 at 08:37

I am trying to import kaggle datasets using opendatasets module but after using pandas 1.1.2 with python 3.6v it is not working. It's giving me this error during the import:

...

ANSWER

Answered 2020-Oct-08 at 08:37

!pip install jovian opendatasets --upgrade --quiet
!pip install -q kaggle 
import urllib.request
import opendatasets as od

Source https://stackoverflow.com/questions/64220944

QUESTION

Run.get_context() gives the same run id

Asked 2020-Sep-07 at 00:23

I am submitting the training through a script file. Following is the content of the train.py script. Azure ML is treating all these as one run (instead of run per alpha value as coded below) as Run.get_context() is returning the same Run id.

train.py

...

ANSWER

Answered 2020-Sep-06 at 23:48

Short Answer Option 1: create child runs within run

run = Run.get_context() assigns the run object of the run that you're currently in to run. So in every iteration of the hyperparameter search, you're logging to the same run. To solve this, you need to create child (or sub-) runs for each hyperparameter value. You can do this with run.child_run(). Below is the template for making this happen.

Source https://stackoverflow.com/questions/63766714

QUESTION

Azure machine learning failing on sample for training

Asked 2020-Feb-12 at 04:35

I am trying to run below sample code in my notebook, Running on python 3.6 kernel. https://docs.microsoft.com/en-us/azure/machine-learning/tutorial-train-models-with-aml Download the MNIST dataset

The following code failed with the attribute error, on line of the following code from azureml.opendatasets import MNIST

...

ANSWER

Answered 2020-Feb-12 at 04:35

Prerequisites: The tutorial and accompanying utils.py file is also available on GitHub if you wish to use it on your own local environment. Run pip install azureml-sdk[notebooks] azureml-opendatasets matplotlib to install dependencies for this tutorial.

If you are using older version then upgrade to the latest Azure ML SDK Version 1.0.85.

!pip install --upgrade azureml-sdk

Source https://stackoverflow.com/questions/60180314

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

Vulnerabilities

No vulnerabilities reported

Install opendatasets

Install the library using pip:.
This package is developed and maintained by the Jovian team.
Clone the repository:
Setup the Python environment for development
Open up the project in VS code and make your changes. Make sure to install the Python Extension for VS Code and select the opendatasets conda environment.