Интерактивная карта не отображается - PullRequest
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Интерактивная карта не отображается

1 голос
/ 08 января 2020

Я хочу создать карту с тикерами, как X сделал здесь .

Поэтому я попытался построить карту, используя geoviews: 

import os, numpy as np, pandas as pd, cartopy.crs as ccrs, bokeh
import holoviews as hv, geoviews as gv, datashader as ds

from colorcet import bmy
from holoviews.util import Dynamic
from holoviews.operation.datashader import rasterize, datashade

hv.extension('bokeh', width=100)

from ast import literal_eval
dictlist = literal_eval(df.results[0])
candidates = [result['name'] for result in dictlist]

def isolate_result(candidate,df_results):
    '''get results of a candidate'''
    for index, value in df_results.items():
        result = [result['pct'] for result in literal_eval(value) if result['name'] == candidate][0]
        df_results.at[index] = result

def get_df(candidate):
    df = gpd.read_file('./data/2012-Election.json')
    df['results'] = get_result(candidate, df['results'])
    return df

def get_plot(ticker):
    df = get_df(ticker)
    merged_json = json.loads(df.to_json())#Convert to String like object.
    json_data = json.dumps(merged_json)
    geosource = GeoJSONDataSource(geojson = json_data)

    #Input GeoJSON source that contains features for plotting.
    palette = brewer['YlGnBu'][8]#Reverse color order so that dark blue is highest turnout.
    palette = palette[::-1]#Instantiate LinearColorMapper that linearly maps numbers in a range, into a sequence of colors.
    color_mapper = LinearColorMapper(palette = palette, low = 0, high = 40)#Define custom tick labels for color bar.
    tick_labels = {'0': '0%', '5': '5%', '10':'10%', '15':'15%', '20':'20%', '25':'25%', '30':'30%','35':'35%', '40': '>40%'}#Create color bar. 
    color_bar = ColorBar(color_mapper=color_mapper, label_standoff=8,width = 500, height = 20,
    border_line_color=None,location = (0,0), orientation = 'horizontal', major_label_overrides = tick_labels)#Create figure object.

    p = figure(title = 'Election Results', plot_height = 600 , plot_width = 950, toolbar_location = None)
    p.xgrid.grid_line_color = None
    p.ygrid.grid_line_color = None#Add patch renderer to figure. 
    p.patches('xs','ys', source = geosource,fill_color = {'field' :'resuts', 'transform' : color_mapper},
              line_color = 'black', line_width = 0.25, fill_alpha = 1)#Specify figure layout.
    p.add_layout(color_bar, 'below')#Display figure inline in Jupyter Notebook.
    output_notebook()#Display figure.
    show(p)
    return p

interact = pn.interact(get_plot, ticker=candidates)

pn.Row(
    pn.Column(title, interact[0]),
    interact[1]
)

Однако, когда я строю карту из get_plot(), она работает очень хорошо.

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