vega_datasets | Python package for online & offline access | Dataset library

by altair-viz Python Version: v0.9 License: MIT

X-Ray Key Features Code Snippets Community Discussions(10)Vulnerabilities Install Support

kandi X-RAY | vega_datasets Summary

vega_datasets is a Python library typically used in Artificial Intelligence, Dataset, Pandas applications. vega_datasets 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 vega_datasets' or download it from GitHub, PyPI.

A Python package for offline access to vega datasets.

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Quality

Security

License

Reuse

Support

vega_datasets has a low active ecosystem.

It has 140 star(s) with 56 fork(s). There are 6 watchers for this library.

It had no major release in the last 6 months.

There are 7 open issues and 9 have been closed. On average issues are closed in 5 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of vega_datasets is v0.9

Quality

vega_datasets has 0 bugs and 0 code smells.

Security

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

vega_datasets code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

vega_datasets 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

vega_datasets 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.

vega_datasets saves you 268 person hours of effort in developing the same functionality from scratch.

It has 650 lines of code, 47 functions and 12 files.

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

Top functions reviewed by kandi - BETA

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

Construct the documentation for this dataset
Return the info dictionary for the given dataset
Get the version string
Read content of file
List all available datasets
List available datasets
Download datasets to local datasets
Check if the internet connection is OK
Read a file

Get all kandi verified functions for this library.

vega_datasets Key Features

No Key Features are available at this moment for vega_datasets.

vega_datasets Examples and Code Snippets

No Code Snippets are available at this moment for vega_datasets.

Community Discussions

Trending Discussions on vega_datasets

Altair chart not displaying when evaluated within a function

Altair interactive plots become static on touch screen devices

Change single color in Altair plot

Make bar chart's x-axis markers horizontal or 45 degree readable in Python Altair

Problem with missing values in Altair or Plotly choropleth map

How do I show all values in an aggregated tooltip?

How to hide subplot labels in facet graph?

Can a condition be based on both a selection and a predicate?

Dual Axis on Altair - filtering source

Change thickness of one line on Altair chart

QUESTION

Altair chart not displaying when evaluated within a function

Asked 2022-Apr-11 at 21:15

The following code, taken from the Altair docs, correctly displays in my Jupyter Lab notebook.

...

ANSWER

Answered 2022-Apr-07 at 23:24

It is because your function is not returning anything. You are creating the chart, but not returning it so that the Jupyter Notebook can render it. If you write return alt.Chart(... it will work. If you don't want to return anything you can also append .display() to the chart spec inside the function (this also works for displaying charts in loops).

Source https://stackoverflow.com/questions/71789741

QUESTION

Altair interactive plots become static on touch screen devices

Asked 2022-Mar-19 at 03:26

I made an Altair interactive plot which contains several subplots with cross-filtering and save it as an html file. When opened on computer browsers, everything works fine. But on my phone and tablet, the plot becomes static (both Android Chrome and Firefox). Is there a way to make it work on these platforms?

Reproducible code

...

ANSWER

Answered 2022-Mar-19 at 03:26

This is an open issue in Vega-Lite, the library used to render Altair charts: https://github.com/vega/vega-lite/issues/4661

That issue has a few suggestions for workarounds related to interactions via touchscreens, but there is not yet any full solution to your question.

Source https://stackoverflow.com/questions/71524666

QUESTION

Change single color in Altair plot

Asked 2022-Mar-04 at 14:30

Is there a way to change the color of just a single group in Altair plot, while leaving the rest the same? I like the default color scheme fine, but there is one group I want to change the color for.

For example, in a scatter-plot like this:

...

ANSWER

Answered 2022-Mar-04 at 14:30

One way to do this is with an alt.condition, although the updated color will not appear in the legend:

Source https://stackoverflow.com/questions/71352135

QUESTION

Make bar chart's x-axis markers horizontal or 45 degree readable in Python Altair

Asked 2022-Feb-05 at 00:38

I am trying to create a bar chart with year data on x-axis. It works but the year marker on x-xais are all in vertical direction and I want to make them more readable - either horizontal or 45 degree. I tried using the year:T in datatime format but it gave me the year and month markers (I just wanted to have the year markers on xais). How do I make the year markers on x-axis either horizontal or 45 degree?

...

ANSWER

Answered 2022-Feb-05 at 00:38

Set labelAngle:

Source https://stackoverflow.com/questions/70988235

QUESTION

Problem with missing values in Altair or Plotly choropleth map

Asked 2022-Jan-04 at 04:25

I have data for a few states in the US and others are Null. While creating the maps, I would like to shade in the states with the missing value in the text but I am struggling to find the correct method. With my current code, I am unable to get the entire US map including the states with the Null value, and only the states with a certain assigned value pop up. I have also looked at previous questions posted and tried layering the maps but that gives me an error. here's how cc_df looks like

Here's my code:

...

ANSWER

Answered 2022-Jan-04 at 04:25

I was aware that the points you pointed out were issues, so I did some research against NaN values and found the following answers. However, the conditional judgment of the null value did not work, so I replaced the missing value with -1 to get the desired output.

Source https://stackoverflow.com/questions/70545639

QUESTION

How do I show all values in an aggregated tooltip?

Asked 2021-Dec-09 at 03:21

I would like myval to show the name of each car for each aggregated year, ex. "chevrolet chevelle malibu".

The [object Object] thing appears to be JavaScript related.

...

ANSWER

Answered 2021-Dec-09 at 03:21

This is a great question, and I'm not sure there's a satisfactory answer. The reason this is displayed as [object Object], [object Object], etc. is because the values aggregate returns a list of the entire row for each value. So the full representation would be something like this:

Source https://stackoverflow.com/questions/70268953

QUESTION

How to hide subplot labels in facet graph?

Asked 2021-Dec-09 at 00:10

This code:

...

ANSWER

Answered 2021-Dec-09 at 00:10

What you did should have worked (i.e. alt.Header(title=None, labels=False)); the fact that it doesn't is probably a bug (I think it's the same issue reported here: https://github.com/altair-viz/altair/issues/2252)

As a workaround for the issue, you can use labelExpr to hide them:

Source https://stackoverflow.com/questions/70282531

QUESTION

Can a condition be based on both a selection and a predicate?

Asked 2021-Oct-31 at 16:44

Is it possible to combine a selection and a predicate in a condition? I would like to color points on a scatterplot only if the group is selected and above a certain value.

...

ANSWER

Answered 2021-Oct-31 at 16:44

It looks like the & operator does not work properly between a selection and an expression (tracked by this issue in the Altair repository). You can work around this by using the underlying schema object instead:

Source https://stackoverflow.com/questions/69774550

QUESTION

Dual Axis on Altair - filtering source

Asked 2021-Oct-19 at 03:21

Altair charting is brilliant in Python because it's easy to add hover-over data annotations (unlike Seaborn) and adding additional 'marks' (lines, bars etc) is cleaner than Plotly, but one thing am struggling with is dual axis. This generally works fine (similar to documentation https://altair-viz.github.io/gallery/layered_chart_with_dual_axis.html):

...

ANSWER

Answered 2021-Oct-19 at 03:21

You can achieve dual axes by setting resolve_scale(y='independent') on the layered chart rather than the individual layers:

Source https://stackoverflow.com/questions/69620412

QUESTION

Change thickness of one line on Altair chart

Asked 2021-Oct-08 at 04:00

I would like to generate a multi-line chart and change the thickness of only one of the lines plotted. For example

...

ANSWER

Answered 2021-Oct-04 at 15:12

You can do this using a conditional strokeWidth encoding:

Source https://stackoverflow.com/questions/69436980

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

Vulnerabilities

No vulnerabilities reported

Install vega_datasets

vega_datasets is compatible with Python 3.5 or newer. Install with:.

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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