On the chapter about Editable DataTable
we can find this :

This chapter includes recipes for:
    Reading the contents of the DataTable
    Filtering out null values
    Uploading data
    Determining which cell has changed 
    Adding or removing columns
    Adding or removing rows
    Clearable, deletable, renamable, and hideable colum

cc: plotly/plotly.js#4707 (comment)

Most items coming from questions on the community forum

• a proper multicategory bar example based on https://community.plotly.com/t/multicategory-axis-type-example/26392
• example of shape or annotation covering several subplots thanks to xref='paper'. Also the shapes and annotations tutorial should link to each other.
• orthographic projection example in 3d axes tutorial (or

Can this App connect clickhouse database ?

What likely needs to happen:

1. Docs moved inside of package (OR linked via setuptools)
2. Docs read and imported via python
3. Docs then parsed and available on a per-widget basis.

The ultimate goal of the above is so that there is never any disconnect between docs and UI. It should always stay in sync.

Hi again,
a second issue I ran into is related to the userguide:
The example for Grouping on calculated columns regarding binning doesn't compile in v0.37.3 and apart from that doesn't lead to a reasonable result, as far as I see.

• Compilation isn't possible, as bin() returns a DoubleColumn (even if c

Many times when I search for some R plotly documentation, I come across a page with a broken shiny app, which essentially renders that page useless. I usually ignored it, but I realize now that it would have been much more productive to make note and report it! So I'll start now :)

The app here doesn't exist: https://plot.ly/r/shinyapp-linked-click/

App name

dash-mapd-demo

Description of antipattern

Currently a new db connection is being made in every callback, and sometimes multiple times per callback. We should implement a connection pool (using sqlalchemy is probably easiest) and use that instead to improve performance and to demonstrate be

For example: https://github.com/talyssonoc/react-katex

Minimal example below (added marginal=rug to show where the bars supposedly should land):

import plotly_express as px

fig = px.histogram(
    px.data.iris(), 
    x='petal_width',
    color='species',
    log_x=True,
    marginal='rug',
)
fig

This codepen shows the issue: https://codepen.io/dylanvann/pen/OYaedz

The onHover handler forces a re-render.

Whenever the Plot is re-rendered some state is lost. In particular the selection is lost.

How it behaves when re-rendering (selection box is not maintained):

H

Public Packages

hexapod/
widgets/
pages/
tests/

Some public methods

hexapod/ik_solver/ik_solver2.py
- init 

hexapod/linkage.py
- init
- str
- repr

hexapod/points.py
- init
- repr
- str
- eq

hexapod/models.py
- for VirtualHexapod
- for Hexagon

See also: https://www.python.org/dev/peps/pep-0257/

Not sure whether this issue should be here or in ploty.py, since it depends on the solution.

It would be nice to have links to the API doc https://plot.ly/python-api-reference/ in the code blocks of the Python tutorials, for the classes and functions of plotly.py. This is something that projects using sphinx-gallery do, see for example https://scikit-learn.org/stable/auto_examples/plot_john

Would it make sense to implement a get_cmap function as colorcet.cm.get_cmap that could override Matplotlib's so that external libraries using MPL's get_cmap could just replace it with Colorcet's get_cmap if Colorcet is available at runtime? This would make interfaceing with Colorcet super easy for other libraries already leveraging MPL's colormaps.

I'm thinking that this function would

An issue to collect data and tasks needed for adding binance

• Decrease Callback/ Load Amount to 1 in #40

• Analyze compatibility
  Needed changes in Data call?
  Needed changes in Data storage (Multiple times same pair e.g. "ETH-USD")

• Discuss form of presentation
  Original:Send all data to client, and hide/ show selection on clientside with js?
  Update: Sending all data s

Hi there, this repo looks great.

One question: can ndarray be used directly or conveniently with plotly?

HI,
I've read around and it (Override data cell styling on a cell by cell basis) appears to have been requested in one form or another since 2017, see
https://community.plot.ly/t/dash-datatable-how-to-the-set-background-color-for-individual-cell/6277

Basically, my need is: Each cell has a good/bad value, and I'd like to assign a red/green background color to allow a user to quickly see bad

The master-source as of 17.09.2019 is missing a requirement and has a grammar-error.

Requirements.txt is missing "textblob", to install it over pip simply type
pip install textblob
or click here get informations how to install it or simply open requirements.txt and simply add
textblob
into a new line.

Under twitter_stream.p

In Python, we may not need to give names to a list. In R, we would better do so, or the extraction may return NULL. The output is a list with first argument id and second property. Hence, if the users fail to give names, the following line would throw an error

https://github.com/plotly/dashR/blob/6bc44b5c4203b03bd5ef04ab5dd24b23bf9b987b/R/utils.R#L360-L363

So, we can add an outputChe

Similar to #821 , the Dash for R docs also require a sidebar component for searching and filtering chapters/pages of the docs. This may require also building a R specific index since some of the chapters and indices in the Python docs do not yet exist for the R documentation.

Starting a thread for some related ideas that have been sitting on my to-do list.

I think we should provide some help in interpreting the graph. Like a how to read this graph section. (Currently we point folks to the related Minute Physics video, but we can't assume folks have watched this.) This could be some kind of overlay that is shown the first time a user visits the page, which explains

In the tutorial https://plot.ly/matplotlib/histograms/ tutorials matplotlib.pyplot is imported as plt. But during plotting the histogram we are usintg pyplot which gives the error of "pyplot not defined".

I was poking around the codebase to see if there was any guidance on how to respond to plotly hover, click, etc. events when using iheatmapr with shiny.

I landed on the ?iheatmapr_event man page, which alludes to having an exemplar shiny app in its Examples section:

## Not run: 
shiny::runApp(system.file("examples", "shiny_example", package = "iheatmapr"))
## End(Not run)