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View from our docs:

In the dash tutorial, this is the recommendation on how to install dash:

In your terminal, install several dash libraries. These libraries are under active development, so install and upgrade frequently. Python 2 and 3 are supported.
pip install dash==1.8.0

The current dash version is 1.9.1

Is this intentional ? I'd send a PR, but I assume the d

Most items coming from questions on the community forum

• example of shape or annotation covering several subplots thanks to xref='paper'. Also the shapes and annotations tutorial should link to each other.
• add px example in 2d density page, links between 2d density and 2d density contour pages, remove gremlin.
• orthographic projection example in 3d axes tutorial (or 3d cam

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.

Use mvn release:prepare to build the docs and copy them to the /docs directory

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/

Hi,

First of all, thank you all for Falcon. It's awesome.

However, it looks like the Apache Drill connector only works with S3 buckets. Nonetheless, Drill itself is able to query from lots of other places (such as a local filesystem, HDFS, MongoDB...).

Adding generic support for Apache Drill (without the need for S3 credentials) would be great. It would expand Falcon capabilities a lot

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

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

E.g. in the "Quick Start" section. The problem is that in the "State Management" section we show developers how to "close the loop" and if they use literals as props things will infinitely-loop!

Conclusion: we should scrub our docs and examples of the use of literals :(

See also #87

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?

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

The input element inside the filter cell can't inherit its text color from the parent <th> as it's set explicitly (https://github.com/plotly/dash-table/blob/dev/src/dash-table/components/Table/Table.less#L551)

I have two comments related to the documentation of htmlButton:

1. htmlButton is documented in the core components, which makes sense to me, but it is actually part of the dashHtmlComponents R package. Maybe add a link from the documentation of the HTML components?
2. The documentation for htmlButton states that its initial value is `NUL

3 spaces for the indentation. 4 spaces and it's a code block, 2 spaces and it's just part of the parent

3. Here we just define our app inside a test function. All the rules
still apply as in your app file.

4. We normally start the test by calling the `start_server` API
from `dash_duo` (you can use `dash_br` for an hosted Dash App, and
write `dash_br.server_url = "Hosted URL"` to star

In ggplot2, the alpha values of each cell in a heatmap can be set individually, using the aes() function. Can the same be done in heatmaply?

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)