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python代码命令大全 python代码大全和用法( 三 )

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模块8：生成省市地图import time
import pandas as pd
import xlrd
import re
import matplotlib.pyplot as plt
import six
import numpy as np
from pyecharts.render import make_snapshot
from snapshot_phantomjs import snapshot
from pyecharts import options as opts
from collections import defaultdict
from pyecharts.charts import Bar, Geo, Map, Line,Funnel,Page
import os
from example.commons import Faker
def create_zjs_map():
folder_path = os.getcwd()
file_name = \”白皮书数据地图.xlsx\”
file_path = os.path.join(folder_path, file_name)
dat = get_excel_content(file_path, sheet_name=\”省份地图\”)
df = dat[[\’城市\’, \’渗透率\’]]
df.columns = [\’city\’, \’penarate\’]
print(df)
citys = df[\’city\’].values.tolist()
values = df[\’penarate\’].values.tolist()
print(citys)
print(\'{:.0f}%\’.format(max(values)*100),\'{:.0f}%\’.format(min(values)*100))
city_name=\’浙江\’
penetration_map = (
Map(init_opts=opts.InitOpts(width=\’1200px\’, height=\’1000px\’, bg_color=\’white\’))
.add(\”{}透率分布\”.format(city_name), [list(z) for z in zip(citys, values)], city_name)
.set_series_opts(
label_opts=opts.LabelOpts(
is_show=True,
font_size=15
)
)
.set_global_opts(
visualmap_opts=opts.VisualMapOpts(
is_show=True,
max_=max(values),
min_=min(values),
is_calculable=False,
orient=\’horizontal\’,
split_number=3,
range_text=[\'{:.0f}%\’.format(max(values)*100),\'{:.0f}%\’.format(min(values)*100)],
pos_left=\’10%\’,
pos_bottom=\’15%\’
),
legend_opts=opts.LegendOpts(is_show=False)
)
make_snapshot(snapshot, penetration_map.render(), \”zj_map.png\”)
print(\’保存 zj_map.png\’)
return penetration_map
def create_county_map(city_name):
folder_path = os.getcwd()
file_name = \”白皮书数据地图.xlsx\”
file_path = os.path.join(folder_path, file_name)
dat = get_excel_content(file_path, sheet_name=\”城市地图\”)
df = dat[[\’city\’, \’county\’, \’penarate\’]][dat.city == city_name]
citys = df[\’county\’].values.tolist()
values = df[\’penarate\’].values.tolist()
max_insurance = max(values)
print(citys)
province_penetration_map = (
Map(init_opts=opts.InitOpts(width=\’1200px\’, height=\’1000px\’, bg_color=\’white\’))
.add(\”{}透率分布\”.format(city_name), [list(z) for z in zip(citys, values)], reg.sub(\’\’,city_name))
.set_series_opts(
label_opts=opts.LabelOpts(
is_show=True,
font_size=15
)
)
.set_global_opts(
visualmap_opts=opts.VisualMapOpts(
is_show=True,
max_=max(values),
min_=min(values),
is_calculable=False,
orient=\’horizontal\’,
split_number=3,
range_text=[\'{:.0f}%\’.format(max(values) * 100), \'{:.0f}%\’.format(min(values) * 100)],
pos_left=\’10%\’,
pos_bottom=\’5%\’
),
legend_opts=opts.LegendOpts(is_show=False)
)
make_snapshot(snapshot, province_penetration_map.render(), \”city_map_{}.png\”.format(city_name))
print(\’保存 city_map_{}.png\’.format(city_name))
return province_penetration_map
def create_funnel_label():
folder_path=os.getcwd()
file_name = \”白皮书数据地图.xlsx\”
file_path = os.path.join(folder_path, file_name)
dat = get_excel_content(file_path, sheet_name=\”漏斗图\”)
df = dat[[\’category\’, \’cnt\’]]
print(df)
category = df[\’category\’].values.tolist()
values = df[\’cnt\’].values.tolist()
funnel_map = (
Funnel(init_opts=opts.InitOpts(width=\’1200px\’, height=\’1000px\’, bg_color=\’white\’))
.add(\”漏斗图\”, [list(z) for z in zip(category, values)])
.set_series_opts(
label_opts=opts.LabelOpts(
position=\’inside\’,
font_size=16,
)
)
.set_global_opts(
legend_opts=opts.LegendOpts(is_show=False)
)
make_snapshot(snapshot, funnel_map.render(), \”funnel.png\”)
print(\’保存 funnel.png\’)
return funnel_map
city_list=[\’温州市\’,\’杭州市\’,\’绍兴市\’,\’嘉兴市\’,\’湖州市\’,\’宁波市\’,\’金华市\’,\’台州市\’,\’衢州市\’,\’丽水市\’,\’舟山市\’]

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