From 2d0e121616597b9cd6e3e25c480bde6e94bb0fa1 Mon Sep 17 00:00:00 2001 From: Julien Barnier Date: Tue, 10 Sep 2024 15:12:28 +0000 Subject: [PATCH] Built site for gh-pages --- .nojekyll | 2 +- development.html | 2 +- gallery_geo.html | 8 ++--- gallery_interaction.html | 14 ++++----- gallery_marks.html | 8 ++--- gallery_themes.html | 6 ++-- gallery_transforms.html | 10 +++---- getting_started.html | 8 ++--- index.html | 10 +++---- search.json | 4 +-- sitemap.xml | 20 ++++++------- usage.html | 64 ++++++++++++++++++++-------------------- 12 files changed, 78 insertions(+), 78 deletions(-) diff --git a/.nojekyll b/.nojekyll index 076a79a..21b19b5 100644 --- a/.nojekyll +++ b/.nojekyll @@ -1 +1 @@ -e4639ae6 \ No newline at end of file +3bcbe1ff \ No newline at end of file diff --git a/development.html b/development.html index e550c31..df67e2e 100644 --- a/development.html +++ b/development.html @@ -331,7 +331,7 @@

Tests

Debug mode

“Debug mode” outputs the computed JavaScript plot structure (the one passed to Plot.plot).

To activate it, add debug=True when using Plot.plot() or when creating your plot generator object:

-
+
op = Obsplot(debug=True)

If using the widget renderer, debug output will be displayed in JavaScript console. With the jsdom renderer, it will be displayed directly in the notebook.

diff --git a/gallery_geo.html b/gallery_geo.html index 3527a5c..391bc45 100644 --- a/gallery_geo.html +++ b/gallery_geo.html @@ -280,7 +280,7 @@

Mapping and spatial data

Geo mark

The Geo mark allows to draw geographic features such as points, lines and polygons. These marks data are passed as GeoJSON.

This allows to create choropleth maps such as the following:

-
+
from pyobsplot import Obsplot, Plot
 import geopandas as gpd
 import pandas as pd
@@ -333,7 +333,7 @@ 
Geo mark

Of course other marks can be used in conjunction with geo marks. This example represents the density of Walmarts supermarkets and is taken from the Mapping notebook.

-
+
# Load US states from TopoJson with geopandas and convert to GeoJson
 states = gpd.read_file("data/us-counties-10m.json", layer="states").to_json()
 nation = gpd.read_file("data/us-counties-10m.json", layer="nation").to_json()
@@ -377,7 +377,7 @@ 
Geo mark

 
Raster mark

 
The Raster mark creates an image from spatial data.

 
Plot allows to do different type of spatial interpolations, such as nearest, which draws voronoi cells around values:

-

+

 
import polars as pl
 
 ca55 = pl.read_csv("data/ca55-south.csv")
@@ -424,7 +424,7 @@ 
Raster mark

 

 

 
Or the more recent random walk interpolation:

-

+

 
flare_map("random-walk")

 

 
Interactions

 

 
Tooltips

 
The tip mark, introduced in Observable 0.6.7, allows to easily add tooltips to a plot.

-

+

 
import polars as pl
 from pyobsplot import Plot, d3, js
 
@@ -313,7 +313,7 @@ 
Tooltips

 )

 

 
 

 

@@ -321,7 +321,7 @@ 
Tooltips

 

 
Crosshair mark

 
The crosshair mark alows to display the coordinates of the nearest point.

-

+

 
penguins = pl.read_csv("data/penguins.csv")
 
 Plot.plot(
@@ -340,7 +340,7 @@ 
Crosshair mark

 )

 

 
 

 

@@ -348,7 +348,7 @@ 
Crosshair mark

 

 
Pointer interaction

 
More generally, the pointer interaction allows to filter out the closest data point and apply some custom marks to it.

-

+

 
aapl = stocks.filter(pl.col("Symbol") == "AAPL")
 
 Plot.plot(
@@ -379,7 +379,7 @@ 
Pointer interaction)

 

 
 

 

@@ -389,7 +389,7 @@ 
Pointer interaction 
 
 
 

 

 
Or, for a bit more complex example:

-

+

 
Plot.plot(
     {
         "marginLeft": 75,
@@ -241,7 +241,7 @@ 
Overview

 )

 

 
 

 

@@ -288,7 +288,7 @@ 
Credits