Draw a chart using the PyDeck library.
This supports 3D maps, point clouds, and more! More info about PyDeck at https://deckgl.readthedocs.io/en/latest/.
These docs are also quite useful:
- DeckGL docs: https://github.com/uber/deck.gl/tree/master/docs
- DeckGL JSON docs: https://github.com/uber/deck.gl/tree/master/modules/json
When using this command, a service called Carto provides the map tiles to render map content. If you're using advanced PyDeck features you may need to obtain an API key from Carto first. You can do that as pydeck.Deck(api_keys={"carto": YOUR_KEY}) or by setting the CARTO_API_KEY environment variable. See PyDeck's documentation for more information.
Another common provider for map tiles is Mapbox. If you prefer to use that, you'll need to create an account at https://mapbox.com and specify your Mapbox key when creating the pydeck.Deck object. You can do that as pydeck.Deck(api_keys={"mapbox": YOUR_KEY}) or by setting the MAPBOX_API_KEY environment variable.
Carto and Mapbox are third-party products and Streamlit accepts no responsibility or liability of any kind for Carto or Mapbox, or for any content or information made available by Carto or Mapbox. The use of Carto or Mapbox is governed by their respective Terms of Use.
Function signature[source] | |
---|---|
st.pydeck_chart(pydeck_obj=None, *, use_container_width=True, width=None, height=None, selection_mode="single-object", on_select="ignore", key=None) | |
Parameters | |
pydeck_obj (pydeck.Deck or None) | Object specifying the PyDeck chart to draw. |
use_container_width (bool) | Whether to override the figure's native width with the width of the parent container. If use_container_width is True (default), Streamlit sets the width of the figure to match the width of the parent container. If use_container_width is False, Streamlit sets the width of the chart to fit its contents according to the plotting library, up to the width of the parent container. |
width (int or None) | Desired width of the chart expressed in pixels. If width is None (default), Streamlit sets the width of the chart to fit its contents according to the plotting library, up to the width of the parent container. If width is greater than the width of the parent container, Streamlit sets the chart width to match the width of the parent container. To use width, you must set use_container_width=False. |
height (int or None) | Desired height of the chart expressed in pixels. If height is None (default), Streamlit sets the height of the chart to fit its contents according to the plotting library. |
on_select ("ignore" or "rerun" or callable) | How the figure should respond to user selection events. This controls whether or not the chart behaves like an input widget. on_select can be one of the following:
If on_select is not "ignore", all layers must have a declared id to keep the chart stateful across reruns. |
selection_mode ("single-object" or "multi-object") | The selection mode of the chart. This can be one of the following:
|
key (str) | An optional string to use for giving this element a stable identity. If key is None (default), this element's identity will be determined based on the values of the other parameters. Additionally, if selections are activated and key is provided, Streamlit will register the key in Session State to store the selection state. The selection state is read-only. |
Returns | |
(element or dict) | If on_select is "ignore" (default), this command returns an internal placeholder for the chart element. Otherwise, this method returns a dictionary-like object that supports both key and attribute notation. The attributes are described by the PydeckState dictionary schema. |
Example
Here's a chart using a HexagonLayer and a ScatterplotLayer. It uses either the light or dark map style, based on which Streamlit theme is currently active:
Note
To make the PyDeck chart's style consistent with Streamlit's theme, you can set map_style=None in the pydeck.Deck object.
Chart selections
The schema for the PyDeck event state.
The event state is stored in a dictionary-like object that supports both key and attribute notation. Event states cannot be programmatically changed or set through Session State.
Only selection events are supported at this time.
Attributes | |
selection (dict) | The state of the on_select event. This attribute returns a dictionary-like object that supports both key and attribute notation. The attributes are described by the PydeckSelectionState dictionary schema. |
The schema for the PyDeck chart selection state.
The selection state is stored in a dictionary-like object that supports both key and attribute notation. Selection states cannot be programmatically changed or set through Session State.
You must define id in pydeck.Layer to ensure statefulness when using selections with st.pydeck_chart.
Attributes | |
indices (dict[str, list[int]]) | A dictionary of selected objects by layer. Each key in the dictionary is a layer id, and each value is a list of object indices within that layer. |
objects (dict[str, list[dict[str, Any]]]) | A dictionary of object attributes by layer. Each key in the dictionary is a layer id, and each value is a list of metadata dictionaries for the selected objects in that layer. |
Examples
The following example has multi-object selection enabled. The chart displays US state capitals by population (2023 US Census estimate). You can access this data from GitHub.
This is an example of the selection state when selecting a single object from a layer with id, "captial-cities":
Still have questions?
Our forums are full of helpful information and Streamlit experts.