brendancol

# Install fastparquet and pytables
# conda install pytables
# conda install -c conda-forge fastparquet
# conda install python-snappy

import pandas as pd
import fastparquet as fp

# Write file
df = pd.read_hdf(data_path, base)

brendancol

import json

from bokeh.io import output_file
from bokeh.plotting import figure, show
from bokeh.models import GeoJSONDataSource

from shapely import affinity
from shapely.geometry import mapping, shape

def get_geojson():

brendancol

from __future__ import division
from functools import partial

import pyproj
from shapely.ops import transform
import numpy as np

from rasterio import features
from affine import Affine
import fiona

brendancol

from bokeh.plotting import figure, output_file, show
from bokeh.models.renderers import TileRenderer
from bokeh.tile_providers import STAMEN_TONER
from bokeh.models import Range1d

output_file('snap_tiles.html')

class SnappingTileRenderer(TileRenderer):
    __implementation__ = """
    _ = require "underscore"

brendancol

from bokeh.models import Range1d
from bokeh.models import WMTSTileSource
from bokeh.models import ImageSource

from bokeh.plotting import figure
from bokeh.plotting import show
from bokeh.plotting import output_file

output_file('datashader_example.html')

brendancol

function initializeMap() {

  var data, i, options, r, scatter, val, x, xaxis, y, yaxis;

  r = new Bokeh.Random(123456789);
  var esri_natgeo_map_service = 'http://server.arcgisonline.com/ArcGIS/rest/services/NatGeo_World_Map/MapServer/tile/{Z}/{Y}/{X}';
  var esri_imagery_label = 'http://server.arcgisonline.com/ArcGIS/rest/services/Reference/World_Boundaries_and_Places/MapServer/tile/{Z}/{Y}/{X}';
  var osm_service = 'http://c.tile.openstreetmap.org/{Z}/{X}/{Y}.png';
  var bing_service = 'http://t0.tiles.virtualearth.net/tiles/a{Q}.jpeg?g=854&mkt=en-US&token=Anz84uRE1RULeLwuJ0qKu5amcu5rugRXy1vKc27wUaKVyIv1SVZrUjqaOfXJJoI0'

brendancol

git clone [email protected]:bokeh/bokeh.git
cd bokeh
git fetch --all
git checkout feature/add-tiled-basemap-renderer
python setup.py develop
python bokeh_tile_layer_example.py

brendancol

from bokeh.plotting import figure, show, output_file
output_file("tile_layer_example.html", title="Tile Layer Example")
osm_service = 'http://c.tile.openstreetmap.org/{Z}/{X}/{Y}.png'
p = figure()
p.plot_width = 800
p.plot_height = 800
p.tile_layer(url=osm_service, tile_provider="WMTSTileProvider", tile_size=256)
show(p)

brendancol

[ Tributary.io ] 041e951ff1407ed667f7 by tonyfast

Adding a short index.html file allows bl.ocks.org to present the visualization as a stand-alone webpage.

brendancol

from __future__ import print_function

import os
import sys
import pandas
from pysal.weights.Distance import DistanceBand

import numpy 
numpy.random.seed(10)