vega | A visualization grammar | Data Visualization library
kandi X-RAY | vega Summary
kandi X-RAY | vega Summary
Vega is a visualization grammar, a declarative format for creating, saving, and sharing interactive visualization designs. With Vega you can describe data visualizations in a JSON format, and generate interactive views using either HTML5 Canvas or SVG. For documentation, tutorials, and examples, see the Vega website. For a description of changes between Vega 2 and later versions, please refer to the Vega Porting Guide.
Support
Quality
Security
License
Reuse
Top functions reviewed by kandi - BETA
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of vega
vega Key Features
vega Examples and Code Snippets
Lines of Code : 11License : Permissive (BSD-3-Clause)
CopyvegaEmbed("#vis", spec, {tooltip: {theme: 'dark'}})
.then(function(result) {
// result.view contains the Vega view
})
.catch(console.error);
var handler = new vegaTooltip.Handler();
vegaEmbed("#vis", spec, {tooltip: handler.call})
.then( const map = L.map('map');
// Optionally, add a base layer
L.tileLayer('https://maps.wikimedia.org/osm-intl/{z}/{x}/{y}.png', {
attribution: '© OpenStreetMap contributors'
}).addTo(map cd VEGA_DIR
npm link
cd VEGA_LITE_DIR
npm link
cd VEGA_EDITOR_DIR
npm run vendor -- -l vega-lite -l vega
// https://observablehq.com/@vega/hello-vega-embed
embed = require("vega-embed@6")
embed({ vega or vega-lite spec… })
from altair.vega import vega
import json
with open("bar-chart.vg.json") as f:
s = json.load(f)
vega(s)
%%javascript
var script = document.createElement('script');
script.type = 'text/javascript';
scimport pandas as pd
import numpy as np
c1 = np.random.randint(1,6, size=15)
c2 = pd.date_range(start="2021-01-01",end="2021-01-15")
df = pd.DataFrame({"day": c2, "value": c1})
df = df.drop([2, 5,6,7,13])
df
import
create table trades
(
TRADER_ID varchar(10),
TRADER_NAME varchar(20),
CCP char(4),
TRADED_AMT decimal(10,2),
TRADE_ID varchar(10) primary key
);
insert trades
values
('ABC123', 'Jules Winnfield', 'GOLD', 10000from urllib import request
import json
with request.urlopen("https://vega.github.io/vega/examples/bar-chart.vg.json") as f:
spec = json.load(f)
from altair import vega
vega.renderers.enable('colab')
vega.Vega(spec)
// Imports
const vega = require('vega');
// Render image from given graph object
async function graphToImage (statsObject) {
// Generate a new 10-char hex string
const pngName = generateHexStringName(10);
// Remove any exiCommunity Discussions
Trending Discussions on vega
QUESTION
I made the following 25 network graphs (all of these graphs are copies for simplicity - in reality, they will all be different):
...ANSWER
Answered 2022-Mar-03 at 21:12While my solution isn't exactly what you describe under Option 2, it is close. We use combineWidgets() to create a grid with a single column and a row height where one graph covers most of the screen height. We squeeze in a link between each widget instance that scrolls the browser window down to show the following graph when clicked.
Let me know if this is working for you. It should be possible to automatically adjust the row size according to the browser window size. Currently, this depends on the browser window height being around 1000px.
I modified your code for the graph creation slightly and wrapped it in a function. This allows us to create 25 different-looking graphs easily. This way testing the resulting HTML file is more fun! What follows the function definition is the code to create a list of HTML objects that we then feed into combineWidgets().
QUESTION
I made the following graph using the "visnetwork" library:
...ANSWER
Answered 2022-Mar-01 at 02:20The reason for the error is that there is no 8 and there are 2 12s.
QUESTION
I have the following network graph:
...ANSWER
Answered 2022-Feb-24 at 17:37I was not able to figure out how to do this with "visIgraph()" function - but I think I was able to figure out how to generate a random graph (meeting certain conditions: Generating Random Graphs According to Some Conditions) and using the regular "visNetwork()" function and then place a title on this graph:
QUESTION
I have the following graph:
...ANSWER
Answered 2022-Feb-25 at 11:37Not sure to fully understand what you are looking for but:
If you want the vertices to be placed randomly and not on a circle, you just need to use the argument
layout = "layout_randomly"inside thevisIgraph()function.If you want the vertices to be placed randomly and on a circle, you need to use the
permute()function and then just add the argumentlayout = "layout_circle"inside thevisIgraph()function.
Please find below a reprex.
Reprex
- Your data
QUESTION
Over here (Directly Adding Titles and Labels to Visnetwork), I learned how to directly add titles to graphs made using the "visIgraph()" function:
...ANSWER
Answered 2022-Feb-25 at 10:55Please find below one possible solution.
Reprex
- Your data
QUESTION
Here is the code taken from the Altair documentation on color schemes.
...ANSWER
Answered 2022-Feb-08 at 01:33It is not possible to extend a color scheme automatically via Altair/VegaLite. You would need to manually define the colors you would want to use, or switch to another color scheme, as you mentioned.
Note that when you are using this many categorical colors, it can become quite difficult for the reader to parse the information in the plot and it is usually better to break down the plot into multiple plots via faceting, or use labels/hovering to encode some of the information instead of relying solely on color. There are some good pointers on this topic in this book chapter.
QUESTION
I am trying to render a table on shinyapps.io, but it is populating with all NA's. I am scraping NCAA basketball spreads from https://www.vegasinsider.com/college-basketball/odds/las-vegas/. Locally, the table renders fine. But on shinyapps.io, all the numeric spreads display as NA's. It only displays correctly on shinyapps.io if all the spread values are characters. But then I cannot perform any math operations. As soon as the BetMGM, Caesers, FanDuel columns are numeric, they display with NA. I'll provide some code and data to help recreate the issue. There was a lot of data cleaning steps that I will skip for the sake of brevity.
@akrun here is the code to scrape the table. I do this and then some regex to split apart the game_info into components.
...ANSWER
Answered 2021-Dec-24 at 16:58It seems that the spread_table after scraping may be post-processed in a way that couldn't convert the extracted substring into numeric class - i.e. when we do as.numeric, if there is any character, it may convert to NA.
In the below code, select the columns of interest after scraping, then extract the substring from the 'game_info' column to split into 'date', 'time', 'away_team_name' and 'home_team_name' based on a regex pattern matching and capturing ((...)) those groups that meet the criteria. (^(\\S+)) - captures the first group as one or more non white spaces characters from the start (^) of the string, followed by one or more white space (\\s+), then capture characters that are not newline character (([^\n]+)) followed by any character that is not letter ([^A-Za-z]+), capture third groups as one or more characters not the newline followed by again the characters not a letter and capture the rest of the characters ((.*)). Then loop across the 'BetMGM' to 'FanDuel', extract the substring characters not having u or - and is followed by a space ((?=\\s)), replace the substring fraction with + 0.5 (as there was only a single fraction), loop over the string and evalutate the string
QUESTION
Does Vega/Vega-Lite/Altair have a builtin method to draw a special mark for empty bars? When x == x2 no mark is currently shown. Perhaps a vertical rule mark of the same expected bar color as derived from a third encoding? Or perhaps a semi-transparent bar mark covering an expanded region with a red border?
ANSWER
Answered 2021-Dec-20 at 20:29You can set the stroke color for the outlines of the bars using something like mark_bar(stroke='gray') (it defaults to transparent): then empty bars will be shown by their outline:
QUESTION
I am using a dataset with the following columns: date, counts, country, engine, and type.
I have created a view with three charts using the repeat operator. The charts show dates on the X axis, counts on Y, and then the bars are split by either country, engine, or type.
I am happy with how things look but I would like to have three separate color legends, one for each domain (so a legend for countries, a legend for type, and a legend for engine). How do I do that?
Here is the link to the editor.
...ANSWER
Answered 2021-Dec-18 at 20:18To have independent color scales & legends, add the following at the top level of the chart specification:
QUESTION
I am trying to display a horizontal rule at a constant value in Vega-Lite, without success. Here is the code (can be pasted in https://vega.github.io/editor/#/):
...ANSWER
Answered 2021-Dec-05 at 03:29There are two issues here:
Your top level encoding maps
xto fieldts, but"data": { "values": [] },does not have any field namedts, so the encoding is undefined and no mark is drawn.The
datumencoding is applied to each entry in the associated dataset, but your dataset has length 0, and so there are no entries. You can use"data": { "values": [{}] }instead.
Fixing these two issues gives this (open in editor):
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install vega
Clone https://github.com/vega/vega.
Run yarn to install dependencies for all packages. If you don't have yarn installed, see https://yarnpkg.com/en/docs/install. We use Yarn workspaces to manage multiple packages within this monorepo.
Once installation is complete, run yarn test to run test cases, or run yarn build to build output files for all packages.
After running either yarn test or yarn build, run yarn serve to launch a local web server — your default browser will open and you can browse to the "test" folder to view test specifications.
Support
Reuse Trending Solutions
Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items
Find more librariesStay Updated
Subscribe to our newsletter for trending solutions and developer bootcamps
Share this Page
