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

@aschonfeld, it could also be useful to be able to add color bars for date or value ranges.
Here's a matplotlib example from PyMC3.

Originally posted by @mindlessbrain in man-group/dtale#48 (comment)

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

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

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/

The table component is an elegant solution, especially when importing the table from a pandas dataframe in python. However, it does not seem to have an option to enable pagination. This makes it less useful for large tables. Am I missing something or has this not been implemented yet. This would also go well with more table features like sorting, filtering, highlighting, etc.

If we can do this

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,
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.

A natural complement to #122

Should help with #234

While reviewing the NLP app in our gallery (https://dash-gallery.plotly.host/dash-nlp/), I noticed that selections in title case appeared to bleed into the upper case options when linewrapped, as seen here:

In CSS, this could be addressed using white-space: nowrap and `text-overflo

Slapdash is setup to use the Flask instance's config object to store Dash parameters. These are updated after Dash.init is called, so that they are safe to be used at runtimem via Flask's convenient current_app global. This means we can access Dash config without having to worry about import order

Hi,

I've managed to create my first component, but is this boilerplate usable to create multiple components in a single package?

It would be nice to be able to display the current slider mark vs its assoc. numerical value in the handle label. Since the developer can alter the handle marks, it would be a nice feature to instead allow them to display these marks in the handle label