简体   繁体   English

更改悬停在等值线图上的等值线图时出现的内容的属性

[英]Changing the attributes of the what appears when hovering over a Choropleth Map in plotly

I am using plotly in Python 3.6.3 and am trying to do a Choropleth map as in here . 我在Python 3.6.3中使用plotly ,我正在尝试像这里一样做一个Choropleth地图。 I would like to change the attributes of what appears when hovering above the map. 我想改变悬停在地图上方时出现的属性。 That is, for example, if we consider the first map and hover of California, it looks like: 也就是说,例如,如果我们考虑加利福尼亚的第一张地图和悬停,它看起来像:

在此输入图像描述

I want to change both the font size of the content that appears and the size of the box. 我想更改显示的内容的字体大小和框的大小。 Is there a way to access those? 有没有办法访问这些?

Here is the code that generates it: 以下是生成它的代码:

import plotly.plotly as py
import pandas as pd

df = pd.read_csv('https://raw.githubusercontent.com/plotly/datasets/master/2011_us_ag_exports.csv')

for col in df.columns:
    df[col] = df[col].astype(str)

scl = [[0.0, 'rgb(242,240,247)'],[0.2, 'rgb(218,218,235)'],[0.4, 'rgb(188,189,220)'],\
            [0.6, 'rgb(158,154,200)'],[0.8, 'rgb(117,107,177)'],[1.0, 'rgb(84,39,143)']]

df['text'] = df['state'] + '<br>' +\
    'Beef '+df['beef']+' Dairy '+df['dairy']+'<br>'+\
    'Fruits '+df['total fruits']+' Veggies ' + df['total veggies']+'<br>'+\
    'Wheat '+df['wheat']+' Corn '+df['corn']

data = [ dict(
        type='choropleth',
        colorscale = scl,
        autocolorscale = False,
        locations = df['code'],
        z = df['total exports'].astype(float),
        locationmode = 'USA-states',
        text = df['text'],
        marker = dict(
            line = dict (
                color = 'rgb(255,255,255)',
                width = 2
            ) ),
        colorbar = dict(
            title = "Millions USD")
        ) ]

layout = dict(
        title = '2011 US Agriculture Exports by State<br>(Hover for breakdown)',
        geo = dict(
            scope='usa',
            projection=dict( type='albers usa' ),
            showlakes = True,
            lakecolor = 'rgb(255, 255, 255)'),
             )

fig = dict( data=data, layout=layout )
py.iplot( fig, filename='d3-cloropleth-map' )

The chloropleth>hoverlabel function lets you set the background color, border color, and font. chloropleth> hoverlabel函数允许您设置背景颜色,边框颜色和字体。 The size of the border box is determined by the text within it, however. 但是,边框的大小由其中的文本确定。 If the name shows up as truncated it can be expanded with the chloropleth>hoverlabel>namelength function. 如果名称显示为截断,则可以使用chloropleth> hoverlabel> namelength函数进行扩展。

声明:本站的技术帖子网页,遵循CC BY-SA 4.0协议,如果您需要转载,请注明本站网址或者原文地址。任何问题请咨询:yoyou2525@163.com.

 
粤ICP备18138465号  © 2020-2024 STACKOOM.COM