def r_data(file):
province_c = []
csv_file = open(file) # 打开csv文件
csv_reader_lines = csv.reader(csv_file) # 逐行读取csv文件
for one_line in csv_reader_lines:
if one_line == "city_name":
continue
# all_url_lst.append(one_line) # 将读取的csv分行数据按行存入列表‘date’中
province_c.append(one_line[-2])
# for i in province_c:
# print(i)
# if i in "行政单位":
# print(i)
# province_c = province_c.remove(i)
# 直辖县级行政单位
c = collections.Counter(province_c) # 从list创建
# print(c)
for i in c.keys():
areas.append(
i.replace("省", "").replace("自治区", "").replace("壮族", "").replace(
"回族", "").replace("维吾尔", ""))
values.append(c[i])
# print(i)
# print(c[i])
# print(areas)
# print(values)
# areas = ['辽宁']
# values = [183]
try:
test_geo = Geo("小米之家全国分布图",
"2020年",
title_color="#fff",
title_pos="center",
width=1000,
height=500)
test_geo.use_theme('dark')
except Exception as e:
pass
test_geo.add("",
areas[1:],
values[1:],
visual_range=[0, 135],
maptype='china',
is_visualmap=True,
is_label_show=False,
visual_type="size",
border_color='#fff')
test_geo.render(path="data/小米.html")
def vis_map():
c = collections.Counter(province_c) # 从list创建
print(c)
for i in c.keys():
areas.append(
i.replace("省", "").replace("自治区", "").replace("壮族", "").replace(
"回族", "").replace("维吾尔", ""))
values.append(c[i])
# print(i)
# print(c[i])
print(areas)
print(values)
# areas = ['辽宁']
# values = [183]
try:
test_geo = Geo("华为零售店全国分布图",
"2020年",
title_color="#fff",
title_pos="center",
width=1000,
height=500)
test_geo.use_theme('dark')
except Exception as e:
pass
test_geo.add("",
areas[1:],
values[1:],
visual_range=[0, 950],
maptype='china',
is_visualmap=True,
is_label_show=False,
visual_type="size",
border_color='#fff')
test_geo.render(path="data/华为.html")
import numpy as np
from pyecharts import Geo
areas = ['广东', '广西', '湖南', '江西', '福建']
values = np.random.randint(1, 100, size=5)
test_geo = Geo("test", width=1200, height=600)
test_geo.use_theme('dark')
test_geo.add("气泡图",
areas,
values,
maptype='china',
is_visualmap=True,
is_label_show=True,
visual_type="size") # 画地图散点十分建议指定边界颜色为一个较亮的颜色
test_geo.render(path="./气泡图.html")
