Plotly Line Plot

This example reviews plotting a lines plot from a GeoDataFrame using plotly.

import mapped
import geopandas as gpd
import plotly
mapped.__version__, gpd.__version__, plotly.__version__

('20.04.01', '0.7.0', '4.6.0')

First, we’ll load some example network data using the OSMnx package. We’ll load a small

import osmnx as ox
north, west, south, east = 41.88626, -87.6316, 41.87816, -87.61334
streets = ox.graph_from_bbox(north, south, east, west, simplify=False)
street_nodes, street_edges = ox.graph_to_gdfs(streets)

The “lanes” data from OSM in this area has a lot of missing entries, so we’ll fill those in with 1’s, and convert the column to integers.

street_edges['lanes'] = street_edges['lanes'].fillna('1').astype(int)

street_edges.plot(basemap=True);

street_edges.plotly_lines()

street_edges.plotly_lines(width='lanes')

street_edges.plotly_lines(color='highway')

street_edges.plotly_lines(color='highway', width='lanes')

GeoDataFrame.plotly_lines(*, zoom='auto', mapbox_style=None, margins=0, figuretype=None, fig=None, color=None, width=None, suppress_hover=False, opacity=None, color_discrete_sequence=None, color_discrete_map=None, **kwargs)

Make a line map in a plotly FigureWidget.

Parameters:

• gdf (geopandas.GeoDataFrame) – The lines to plot.
• zoom (‘auto’ or int or float) – Sets the initial zoom level for the map, up to 20.
• mapbox_style (str, optional) – Sets the style for the basemap tiles. Totally free options include “carto-positron”, “stamen-terrain”, “stamen-toner”, “open-street-map”, possibly others. Options from the set {‘basic’,’streets’,’outdoors’,’light’,’dark’,’satellite’, ‘satellite-streets’} will load vector tiles from MapBox, which requires a token to be set. This defaults to “carto-positron” if no mapbox token is set, or ‘basic’ if a token is available.
• margins (int, optional) – Set margins on the figure.
• figuretype (class, optional) – Which plotly figure class to use, defaults to plotly.go.FigureWidget.
• fig (plotly.go.Figure or plotly.go.FigureWidget) – An existing figure, to which the new trace(s) will be appended.
• color (str or int or Series or array-like) – Either a name of a column in gdf, or a pandas Series or array_like object. Values are used to assign color to lines.
• width (int (default None)) – Either a name of a column in gdf, or a pandas Series or array_like object. Values are used to assign widths to lines.
• opacity (float) – Value between 0 and 1. Sets the opacity for lines.
• title (str) – The figure title.
• width – The figure width in pixels.
• height (int (default 600)) – The figure height in pixels.
• **kwargs – Other keyword arguments are passed through to the plotly.express.scatter_mapbox constructor, allowing substantial further customization of the resulting figure.

Notes

A separate trace is generated for every unique combination of color and width, which can create a lot of traces and slow down the responsiveness of the figure. It is better to use categorical values in these places.

Returns: Return type:plotly.go.FigureWidget