dash_leaflet | Leaflet component for dash | Data Visualization library
kandi X-RAY | dash_leaflet Summary
kandi X-RAY | dash_leaflet Summary
Leaflet component for dash. Illustration of error encountered during python build.
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Community Discussions
Trending Discussions on dash_leaflet
QUESTION
I am very new to pymongo as well as jupyter notebook. The issue I am having currently is that I am getting the error that is displayed below and I cannot figure out why as I am connected to jupyter notebook through mongo under the correct credentials.
Here is my .py file code:
...ANSWER
Answered 2021-Dec-05 at 13:00I think you are passing wrong arguments to MongoClient:
QUESTION
I am not understanding why I am receiving this error as my .py file indicates that database is in fact an attribute. I have made sure that everything is indented as it should be and made sure that the correct .py is notated when importing AnimalShelter. I am following a walkthrough for this for class and the .ipynb definitely details everything as is it is in the walkthrough so there has to be something wrong with the .py file. I just dont understand what...
...ANSWER
Answered 2021-Dec-05 at 00:31You need to change _init_
to __init__
:
Change
QUESTION
I am working on adding a bootstrap collapse element with a leaflet map contained within it so that I can toggle open/close the map view. However, the leaflet map is being sized upon app initialization and does not resize when the collapse item is opened. Therefore, the resulting displayed map when toggled on is mostly just a grey box. After doing some research, it seems that I have to call the invalidateSize function on my map after opening the collapse element. However, I am not sure how to run this javascript command on my Plotly-Dash application. This is what I have currently.
...ANSWER
Answered 2021-Oct-05 at 04:56One possible way to avoid this issue is to delay the (initial) map renderer until the parent container becomes visible. Here is an illustration of how that approach could be implemented for your example,
QUESTION
ANSWER
Answered 2021-Jul-18 at 18:13OK for once I fix it! I need to return it like that:
QUESTION
I'm using the Dash Leaflet map component dash-leaflet for my interactive map visualizations.
My goal is to filter large GeoJSON components (dl.GeoJSON
) by values of dash components (e.g. dcc.Slider
).
My current approach is the following:
...ANSWER
Answered 2021-May-22 at 14:18While it is possible to filter the data in Python, it can introduce significant network overhead depending on the data size (the data is transferred from the server to the client each time the filter changes). If you do the filtering client side, you only have to transfer the data once, i.e. the performance difference can be dramatic.
The client side filtering can be implemented by adding a JavaScript asset (i.e. a .js file placed in the assets folder) with the filtering function as per the documentation,
QUESTION
I am working on a project and am having issues with a NameError. When I ran the code the previous day, my data table was output with no issues. However, I got the NameError the next day even though I didn't make any changes.
The NameError I am getting refers to this line of code:
...ANSWER
Answered 2020-Dec-11 at 23:12You are using import dash_table as dt
. Then you can't use dash_table
, you have to use dt
instead.
QUESTION
I'm using the dash dashboard for plotting point locations on the map, so a user can select the point and some additional data is displayed for the location. It works quite well with MapBox, but I cannot find a way inside dash to cluster the locations. However, I found that dash-plotly library is very good at clustering and tried to change my map to leaflet, but now I'm not able to get the marker ID from clicking on it? I'm sure I'm missing something trivial.
So, is there a way to modify this code to return marker ID when clicking on the marker, instead of just returning the coordinate on the map?
...ANSWER
Answered 2020-Jun-12 at 06:03The simplest way to get the id of the marker, which was clicked, is to listen for property changes on the markers rather than the map itself. With this approach, the maker id information can be extracted from the callback_context. Here is a small example based on your code,
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No vulnerabilities reported
Install dash_leaflet
Install npm packages $ npm install
Create a virtual env and activate. $ virtualenv venv $ . venv/bin/activate Note: venv\Scripts\activate for windows
Install python packages required to build components. $ pip install -r requirements.txt
Install the python packages for testing (optional) $ pip install -r tests/requirements.txt
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