lines from geopandas

Author: nicolaskruchten

doc/python/lines-on-mapbox.md

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     name: python
     nbconvert_exporter: python
     pygments_lexer: ipython3
-    version: 3.6.8
+    version: 3.7.7
   plotly:
     description: How to draw a line on Map in Python with Plotly.
     display_as: maps
@@ -57,6 +57,48 @@ fig.update_layout(mapbox_style="stamen-terrain", mapbox_zoom=4, mapbox_center_la
 fig.show()
 ```
 
+### Lines on Mapbox maps from GeoPandas
+
+Given a GeoPandas geo-data frame with `linestring` or `multilinestring` features, one can extra point data and use `px.line_mapbox()`.
+
+```python
+import plotly.express as px
+import geopandas as gpd
+import shapely.geometry
+import numpy as np
+import wget
+
+# download a zipped shapefile
+wget.download("https://plotly.github.io/datasets/ne_50m_rivers_lake_centerlines.zip")
+
+# open a zipped shapefile with the zip:// pseudo-protocol
+geo_df = gpd.read_file("zip://ne_50m_rivers_lake_centerlines.zip")
+
+lats = []
+lons = []
+names = []
+
+for feature, name in zip(geo_df.geometry, geo_df.name):
+    if isinstance(feature, shapely.geometry.linestring.LineString):
+        linestrings = [feature]
+    elif isinstance(feature, shapely.geometry.multilinestring.MultiLineString):
+        linestrings = feature.geoms
+    else:
+        continue
+    for linestring in linestrings:
+        x, y = linestring.xy
+        lats = np.append(lats, y)
+        lons = np.append(lons, x)
+        names = np.append(names, [name]*len(y))
+        lats = np.append(lats, None)
+        lons = np.append(lons, None)
+        names = np.append(names, None)
+
+fig = px.line_mapbox(lat=lats, lon=lons, hover_name=names, 
+                     mapbox_style="stamen-terrain", zoom=0)
+fig.show()
+```
+
 ### Lines on Mapbox maps using `Scattermapbox` traces
 
 This example uses `go.Scattermapbox` and sets
@@ -90,4 +132,4 @@ fig.show()
 
 #### Reference
 
-See https://plotly.com/python/reference/scattermapbox/ for more information about mapbox and their attribute options.
+See https://plotly.com/python/reference/scattermapbox/ for more information about mapbox and their attribute options.

doc/python/lines-on-maps.md

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     name: python
     nbconvert_exporter: python
     pygments_lexer: ipython3
-    version: 3.6.7
+    version: 3.7.7
   plotly:
     description: How to draw lines, great circles, and contours on maps in Python.
     display_as: maps
@@ -52,6 +52,47 @@ fig = px.line_geo(df, locations="iso_alpha",
 fig.show()
 ```
 
+### Lines on Maps from GeoPandas
+
+Given a GeoPandas geo-data frame with `linestring` or `multilinestring` features, one can extra point data and use `px.line_geo()`.
+
+```python
+import plotly.express as px
+import geopandas as gpd
+import shapely.geometry
+import numpy as np
+import wget
+
+# download a zipped shapefile
+wget.download("https://plotly.github.io/datasets/ne_50m_rivers_lake_centerlines.zip")
+
+# open a zipped shapefile with the zip:// pseudo-protocol
+geo_df = gpd.read_file("zip://ne_50m_rivers_lake_centerlines.zip")
+
+lats = []
+lons = []
+names = []
+
+for feature, name in zip(geo_df.geometry, geo_df.name):
+    if isinstance(feature, shapely.geometry.linestring.LineString):
+        linestrings = [feature]
+    elif isinstance(feature, shapely.geometry.multilinestring.MultiLineString):
+        linestrings = feature.geoms
+    else:
+        continue
+    for linestring in linestrings:
+        x, y = linestring.xy
+        lats = np.append(lats, y)
+        lons = np.append(lons, x)
+        names = np.append(names, [name]*len(y))
+        lats = np.append(lats, None)
+        lons = np.append(lons, None)
+        names = np.append(names, None)
+
+fig = px.line_geo(lat=lats, lon=lons, hover_name=names)
+fig.show()
+```
+
 ## Lines on Maps with plotly.graph_objects
 
 ### US Flight Paths Map