Python/Plotly/Geopandas

我不断地发现这个错误，并且在网上看到了其他人的信息

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 install geopandas==0.3.0
pip install pyshp==1.2.10
pip install 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 install plotly

conda install geopanda

问题是，我已经通过上述方法安装了plotly/geopanda，但它仍然不起作用，但当我单独导入plotly、geopanda时，它不会抛出错误。实际上，当我分解下面的代码时，这一行就是引发错误的原因：

ff.create\u choropleth

-下面是我的完整代码：

import plotly, geopandas
import plotly.plotly as py
import plotly.figure_factory as ff
import numpy as np
import pandas as pd
import xlrd
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 = ff.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'
#)
py.plot(fig, filename='diseasechange')

---

请不要将绘图工厂导入为ff，然后再导入ff。请尝试以下操作：

# 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')

---

另外，如果您在

导入shapely

或

导入shapefile

时遇到问题，则需要安装它

，您会遇到什么错误？（您能显示完整的回溯吗？）导入错误。在我的邮件的最顶端，当我下班回来时，我会把跟踪信息发回去