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# 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)

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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():

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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

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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"

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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')

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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'

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git clone git@github.com: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

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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)

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[ Tributary.io ] 041e951ff1407ed667f7 by tonyfast

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

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from __future__ import print_function

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

import numpy 
numpy.random.seed(10)