Question

我无法弄清楚它如何在滑块中添加收入栏，以及圆圈在里面的含义。谁能帮我解决这个问题。现在，我可以在滑块顶部添加标题。我已附上以下参考链接。这就是我的Original。

necessary imports
from bokeh.plotting import figure, show, output_file
from bokeh.tile_providers import CARTODBPOSITRON
import pandas as pd
import numpy as np 
import math
from ast import literal_eval
from bokeh.palettes import Viridis5
from bokeh.models import ColumnDataSource,ColorBar,BasicTicker
from bokeh.models.mappers import ColorMapper, LinearColorMapper

#function to convert latitude and longitude into mercator projection mapping
def merc(Coords):
    Coordinates = literal_eval(Coords)
    lat = Coordinates[0]
    lon = Coordinates[1]
    r_major = 6378137.000
    x = r_major * math.radians(lon)
    scale = x/lon
    y = 180.0/math.pi * math.log(math.tan(math.pi/4.0 + lat * (math.pi/180.0)/2.0)) * scale
    return (x, y)

#supporting function
def make_tuple_str(x, y):
    t = (x, y)
    return str(t)

#read with pandas
df = pd.read_csv('housing.csv')

#converting latitude and longitudes of corners of california into mercator range
range0 = merc('(32.080577, -114.052642)')
range1 = merc('(42.356802, -124.753326)')
x_range = (range0[0],range1[0])
y_range = (range0[1], range1[1])

#now convert DataFrame longitude and latitude column into mercator coordinates
df['coords'] = df.apply(lambda x: make_tuple_str(x['latitude'], x['longitude']), axis = 1)
df['coords_latitude'] = df['coords'].apply(lambda x: merc(x)[0])
df['coords_longitude'] = df['coords'].apply(lambda x: merc(x)[1])

#prepare data
source = ColumnDataSource(
    data = dict(
        lat = df['coords_latitude'].tolist(),
        lon = df['coords_longitude'].tolist(),
        size = df.median_income.tolist(),
        color = df.median_house_value.tolist()
        )
    )

#initiate figure
p = figure(x_range = x_range, y_range = y_range, x_axis_type = "mercator", y_axis_type = "mercator")
p.add_tile(CARTODBPOSITRON)

#color palette
color_mapper = LinearColorMapper(palette = Viridis5)

#add a glyph
p.circle(x = 'lat', y = 'lon', 
        size = 'size',
        color = {'field':'color',
                 'transform':color_mapper},
        source = source 
        )
#put a colorbar to support
color_bar = ColorBar(color_mapper=color_mapper, ticker=BasicTicker(),
                     label_standoff=12, border_line_color=None, location=(0,0))

#layout
p.add_layout(color_bar, 'right')

#show it in web browser
output_file('example.html')

show(p)

指向主要代码的链接是：

https://zapcircle.net/geomapping-with-python/

如何在Bokeh中为python添加滑块值

0 个答案: