Python /Plotly/Geopandas

Question

我一直收到这个错误，并在网上阅读了其他人的入门文章，

ImportError: geopandas, pyshp and shapely must be installed for this figure factory.

Run the following commands to install the correct versions of the following modules:

pip安装geopandas==0.3.0

pip安装pyshp==1.2.10

pip安装shapely==1.6.3

If you are using Windows, follow this post to properly install geopandas and dependencies:http://geoffboeing.com/2014/09/using-geopandas-windows/

If you are using Anaconda, do not use PIP to install the packages above. Instead use conda to install them:

conda plotly安装

conda安装geopanda

The thing is , I have installed plotly/geopanda via the methods above and it still does not work , but when I import plotly, geopand alone it does not throw an error. really when I break down my code  below, this line is what is throwing the error: `ff.create_choropleth` - my full code is below: 

```javascript

绘图导入，geopandas

将plotly.plotly作为py导入

将plotly.figure_factory作为ff导入

将numpy导入为np

将熊猫作为pd导入

导入xlrd

df_sample = pd.read_excel('popdata.xlsx') #读取数据

values =df_sample‘’Change‘.tolist()#读取文件中包含的值

fips = df_sample' FIPS '.tolist() #读入FIPS代码

colorscale = ["#171c42"，"#223f78"，"#1267b2"，"#4590c4"，"#8cb5c9"，"#b6bed5"，"#dab2be"，

          "#d79d8b","#c46852","#a63329","#701b20","#3c0911"]

endpts = list(np.linspace(-75，75，len(colorscale) - 1)) #为您的数据确定合适的范围

#fig = ff.create_choropleth(

fips=fips，values=values，colorscale=colorscale，show_state_data=True，binning_endpoints=endpts，#如果你的值是一个数字列表，你可以将你的值放入半开区间

County_outline={‘颜色’：'rgb(255,255,255)'，‘宽度’：0.5}，

legend_title='%变化‘，title=’1980-2014年间疾病变化%‘

#)

Py.plot(图，filename='diseasechange')

Answer 1

不是先使用import plotly figure_factory as ff，然后使用ff.create_choropleth，而是尝试这样：

# import necessary libraries
import geopandas
import shapely
import shapefile
import plotly
from plotly.figure_factory._county_choropleth import create_choropleth
import xlrd
# Check your version
print(plotly.__version__, geopandas.__version__,shapely.__version__,shapefile.__version__)
# Data
df_sample = pd.read_excel('popdata.xlsx') # Read in your data
values = df_sample['Change'].tolist() # Read in the values contained within your file
fips = df_sample['FIPS'].tolist() # Read in FIPS Codes

colorscale = ["#171c42","#223f78","#1267b2","#4590c4","#8cb5c9","#b6bed5","#dab2be",
              "#d79d8b","#c46852","#a63329","#701b20","#3c0911"]

endpts = list(np.linspace(-75, 75, len(colorscale) - 1)) # Identify a suitable range for your data

fig = create_choropleth(
   fips=fips, values=values, colorscale=colorscale, show_state_data=True, binning_endpoints=endpts, # If your values is a list of numbers, you can bin your values into half-open intervals
    county_outline={'color': 'rgb(255,255,255)', 'width': 0.5}, 
    legend_title='% change', title='% Change in disease between 1980-2014'
)
# Plot in offline mode and save plot in your Python script folder
plotly.offline.plot(fig, filename='diseasechange.html')

此外，如果您在使用import shapely或import shapefile时遇到问题，则需要安装它