Python 엑셀 과 shp 에 대한 사용 은 matplotlib 에 있 습 니 다.

#!/usr/bin/env python
# -*- coding: utf-8 -*-
# @File : map02.py
# @Author: huifer
# @Date : 2018/6/28
import folium
import pandas as pd
import requests
import matplotlib.pyplot as plt
import cartopy.crs as ccrs
import zipfile
import cartopy.io.shapereader as shaperead
from matplotlib import cm
from cartopy.mpl.ticker import LongitudeFormatter, LatitudeFormatter
import os
dataurl = "http://image.data.cma.cn/static/doc/A/A.0012.0001/SURF_CHN_MUL_HOR_STATION.xlsx"
shpurl = "http://www.naturalearthdata.com/http//www.naturalearthdata.com/download/10m/cultural/ne_10m_admin_0_countries.zip"
def download_file(url):
  """
    url    
  :param url: str
  """
  r = requests.get(url, allow_redirects=True)
  try:
    open(url.split('/')[-1], 'wb').write(r.content)
  except Exception as e:
    print(e)
def degree_conversion_decimal(x):
  """
          
  :param x: float
  :return: integer float
  """
  integer = int(x)
  integer = integer + (x - integer) * 1.66666667
  return integer
def unzip(zip_path, out_path):
  """
    zip
  :param zip_path:str
  :param out_path: str
  :return:
  """
  zip_ref = zipfile.ZipFile(zip_path, 'r')
  zip_ref.extractall(out_path)
  zip_ref.close()
def get_record(shp, key, value):
  countries = shp.records()
  result = [country for country in countries if country.attributes[key] == value]
  countries = shp.records()
  return result
def read_excel(path):
  data = pd.read_excel(path)
  # print(data.head(10)) #     
  # print(data.ix[data['  ']=='  ',:].shape[0]) #     
  # print(data.sort_values('       （ ）',ascending=False).head(10))#      
  #           (   、    )      %0.2f     60
  # print(data['  '].apply(lambda x:x-int(x)).sort_values(ascending=False).head()) #          
  #     
  data['  '] = data['  '].apply(degree_conversion_decimal)
  data['  '] = data['  '].apply(degree_conversion_decimal)
  ax = plt.axes(projection=ccrs.PlateCarree())
  ax.set_extent([70, 140, 15, 55])
  ax.stock_img()
  ax.scatter(data['  '], data['  '], s=0.3, c='g')
  # shp = shaperead.Reader('ne_10m_admin_0_countries/ne_10m_admin_0_countries.shp')
  # #       ：  
  # city_list = [country for country in countries if country.attributes['ADMIN'] == 'China']
  # countries = shp.records()
  plt.savefig('test.png')
  plt.show()
def gdp(shp_path):
  """
  GDP    
  :return:
  """
  shp = shaperead.Reader(shp_path)
  cas = get_record(shp, 'SUBREGION', 'Central Asia')
  gdp = [r.attributes['GDP_MD_EST'] for r in cas]
  gdp_min = min(gdp)
  gdp_max = max(gdp)
  ax = plt.axes(projection=ccrs.PlateCarree())
  ax.set_extent([45, 90, 35, 55])
  for r in cas:
    color = cm.Greens((r.attributes['GDP_MD_EST'] - gdp_min) / (gdp_max - gdp_min))
    ax.add_geometries(r.geometry, ccrs.PlateCarree(),
             facecolor=color, edgecolor='black', linewidth=0.5)
    ax.text(r.geometry.centroid.x, r.geometry.centroid.y, r.attributes['ADMIN'],
        horizontalalignment='center',
        verticalalignment='center',
        transform=ccrs.Geodetic())
  ax.set_xticks([45, 55, 65, 75, 85], crs=ccrs.PlateCarree()) # x    
  ax.set_yticks([35, 45, 55], crs=ccrs.PlateCarree()) # y     
  lon_formatter = LongitudeFormatter(zero_direction_label=True)
  lat_formatter = LatitudeFormatter()
  ax.xaxis.set_major_formatter(lon_formatter)
  ax.yaxis.set_major_formatter(lat_formatter)
  plt.title('GDP TEST')
  plt.savefig("gdb.png")
  plt.show()
def run_excel():
  if os.path.exists("SURF_CHN_MUL_HOR_STATION.xlsx"):
    read_excel("SURF_CHN_MUL_HOR_STATION.xlsx")
  else:
    download_file(dataurl)
    read_excel("SURF_CHN_MUL_HOR_STATION.xlsx")
def run_shp():
  if os.path.exists("ne_10m_admin_0_countries"):
    gdp("ne_10m_admin_0_countries/ne_10m_admin_0_countries.shp")
  else:
    download_file(shpurl)
    unzip('ne_10m_admin_0_countries.zip', "ne_10m_admin_0_countries")
    gdp("ne_10m_admin_0_countries/ne_10m_admin_0_countries.shp")
if __name__ == '__main__':
  # download_file(dataurl)
  # download_file(shpurl)
  # cas = get_record('SUBREGION', 'Central Asia')
  # print([r.attributes['ADMIN'] for r in cas])
  # read_excel('SURF_CHN_MUL_HOR_STATION.xlsx')
  # gdp()
  run_excel()
  run_shp()