Question

我想用情节来构建一个等值区域图。我有一个包含州代码的数据框和一个如下所示的计数：

  count state
0   1   AK
1   9   AL
2   2   AR
3   11  AZ
4   31  CA
...

我尝试过以下方法：

from plotly.offline import init_notebook_mode, plot, iplot
init_notebook_mode(connected=True)

test_data = [dict(type='choropleth',
                 autocolorscale=False,
                 locations=df['state'],
                 z=df['count'],
                 locationmode='USA-states',
                 marker=dict(
                     line=dict(
                         color='rgb(255,255,255)',
                         width=2
                     )),
                 colorbar=dict(
                     title='Choropleth Map Test')
                 )] 
layout = dict(
            title='Test title',
            geo = dict(
                scope='usa',
            projection=dict(type='albers usa'),
            snowflakes=True,
            lakecolor='rgb(255,255,255)'),
            )

fig = dict(data=data, layout=layout)

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

然后我收到错误：

PlotlyDictValueError: 'data' has invalid value inside 'figure'
Path To Error: ['data']
Current path: []
Current parent object_names: []
Additionally:
    role: object
During handling of the above exception, another exception occurred:

有人可以指出我正确的方向吗？

Answer 1

from plotly.offline import init_notebook_mode，plot， iplot

您已经从plotly.offline导入了iplot，应该直接调用该函数。使用iplot（）代替py.iplot（）。

py似乎被定义为您在上面列出的代码中未包含的其他内容。

Answer 2

下面的代码应该可以工作：

导入库

import pandas as pd
from plotly import __version__
%matplotlib inline

import plotly.offline as pyo
import plotly.graph_objs as go
from plotly.offline import iplot

import cufflinks as cf
from plotly.offline import download_plotlyjs, init_notebook_mode, plot, iplot 
init_notebook_mode(connected=True)

init_notebook_mode(connected=True)
cf.go_offline()

创建示例数据

state = ['AK', 'AL', 'AR', 'AZ', 'CA']
count = [1,9,2,11,31]
df = pd.DataFrame({'state':state, 'count':count})
df.head(2)

下面的代码来自上面的问题

注意：snowflakes=True是commented out

test_data = [dict(type='choropleth',
                 autocolorscale=False,
                 locations=df['state'],
                 z=df['count'],
                 locationmode='USA-states',
                 marker=dict(
                     line=dict(
                         color='rgb(255,255,255)',
                         width=2
                     )),
                 colorbar=dict(
                     title='Choropleth Map Test')
                 )] 
layout = dict(
            title='Test title',
            geo = dict(
                scope='usa',
                projection=dict(type='albers usa'),
                #snowflakes=True,
                lakecolor='rgb(255,255,255)'),
            )

fig = dict(data=test_data, layout=layout)

pyo.iplot(fig,filename='d3-cloropleth-map')

Answer 3

可能是问题所在...尝试以这种方式安装：

pip install --trusted-host pypi.org --trusted-host pypi.python.org --trusted-host files.pythonhosted.org plotly

Answer 4

# Code works, but no MAP

Must Restart and run all

!pip install cufflinks
!pip install chart_studio

import chart_studio
import pandas as pd
from plotly import __version__
%matplotlib inline

import plotly.offline as py
import plotly.graph_objs as go
from plotly.offline import download_plotlyjs
from plotly.offline import init_notebook_mode, plot, iplot
import cufflinks as cf


init_notebook_mode(connected=True)
cf.go_offline()



# 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)']]

#Create sample data

state = ['AK', 'AL', 'AR', 'AZ', 'CA']
count = [1,9,2,11,31]
df = pd.DataFrame({'state':state, 'count':count})
#df.head(2)
#Code below is from the question above

#Note: snowflakes=True is commented out

test_data = [dict(type='choropleth',
                 autocolorscale=False,
                 locations=df['state'],
                 z=df['count'],
                 locationmode='USA-states',
                 marker=dict(
                     line=dict(
                         color='rgb(255,255,255)',
                         width=2
                     )),
                 colorbar=dict(
                     title='Choropleth Map Test')
                 )] 
layout = dict(
            title='Test title',
            geo = dict(
                scope='usa',
                projection=dict(type='albers usa'),
                #snowflakes=True,
                lakecolor='rgb(255,255,255)'),
            )

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

具有情节错误的等值线图：无效的figure_or_data参数

4 个答案: