# yyds干货盘点 # Pyecharts作图部分省市有数据显示，其他的省份都没有显示，怎么肥四？

Posted 2022-07-12 Python进阶者

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大家好，我是Python进阶者。

一、前言

前几天有个粉丝【Lethe】问了一道Pyecharts可视化的问题，如下图所示。

后来原始数据和代码都给到了，需要帮忙看看。

二、实现过程

下面是她自己的代码，如下所示：

# 可视化部分
import pandas  as pd
from pyecharts.charts import Map, Page
from pyecharts import options as opts

# 设置列对齐
pd.set_option(display.unicode.ambiguous_as_wide, True)
pd.set_option(display.unicode.east_asian_width, True)
# 打开文件
df = pd.read_excel(D:\\python-base\\python\\实训项目文档\\国内疫情统计表1.xlsx)

locations = [location for location in df[省]]
values = [value for value in df[当前确诊]]
datas1 = list(zip(locations, values))

data2 = df[省]
data2_list = list(data2)
# print(data2_list)

data3 = df[当前确诊]
data3_list = list(data3)
# print(data3_list)

data4 = df[疑似确诊]
data4_list = list(data4)

data5 = df[累计确诊]
data5_list = list(data5)
data6 = df[死亡人数]
data6_list = list(data6)
data7 = df[治愈人数]
data7_list = list(data7)

a = (
    Map()
        .add("当前确诊", datas1, "china")
        .set_global_opts(
        title_opts=opts.TitleOpts(),
        visualmap_opts=opts.VisualMapOpts(max_=100),
    )
)

b = (
    Map()
        .add("疑似确诊", [list(z) for z in zip(data2_list, data4_list)], "china")
        .set_global_opts(
        title_opts=opts.TitleOpts(),
        visualmap_opts=opts.VisualMapOpts(max_=200),
    )
)

c = (
    Map()
        .add("累计确诊", [list(z) for z in zip(data2_list, data5_list)], "china")
        .set_global_opts(
        title_opts=opts.TitleOpts(),
        visualmap_opts=opts.VisualMapOpts(max_=200),
    )
)

d = (
    Map()
        .add("死亡人数", [list(z) for z in zip(data2_list, data6_list)], "china")
        .set_global_opts(
        title_opts=opts.TitleOpts(),
        visualmap_opts=opts.VisualMapOpts(max_=200),
    )
)

e = (
    Map()
        .add("治愈人数", [list(z) for z in zip(data2_list, data7_list)], "china")
        .set_global_opts(
        title_opts=opts.TitleOpts(),
        visualmap_opts=opts.VisualMapOpts(max_=200),
    )
)

page = Page(layout=Page.DraggablePageLayout)
page.add(
    a,
    b,
    c,
    d,
    e,
)
# 先生成render.html文件
page.render()

# 完成上一步之后把 page.render()这行注释掉
# 然后循行这下面

Page.save_resize_html("render.html",
    cfg_file="chart_config.json",
    dest="my_test.html")

后来【此类生物】修改了下代码，顺利解决了问题，代码如下所示。

# 可视化部分
import pandas  as pd
from pyecharts.charts import Map, Page
from pyecharts import options as opts

# 设置列对齐
pd.set_option(display.unicode.ambiguous_as_wide, True)
pd.set_option(display.unicode.east_asian_width, True)
# 打开文件
df = pd.read_excel(国内疫情统计表1.xlsx)
locations = []
for location in df[省]:
    if "广西" in location:
        location = "广西"
    if "新疆" in location:
        location = "新疆"
    if "宁夏" in location:
        location = "宁夏"
    if "西藏" in location:
        location = "西藏"
    if "内蒙古" in location:
        location = "内蒙古"
    else:
        location = location.strip("省市")
    locations.append(location)

values = [value for value in df[当前确诊]]
print(values, locations)
datas1 = list(zip(locations, values))
#
data2 = locations
data2_list = list(data2)
print(data2_list)

data3 = df[当前确诊]
data3_list = list(data3)
# print(data3_list)

data4 = df[疑似确诊]
data4_list = list(data4)

data5 = df[累计确诊]
data5_list = list(data5)
data6 = df[死亡人数]
data6_list = list(data6)
data7 = df[治愈人数]
data7_list = list(data7)
#
#
#
a = (
    Map()
        .add("当前确诊", datas1, "china")
        .set_global_opts(
        title_opts=opts.TitleOpts(),
        visualmap_opts=opts.VisualMapOpts(max_=100),
    )
)

#
#
#
b = (
    Map()
        .add("疑似确诊", [list(z) for z in zip(data2_list, data4_list)], "china")
        .set_global_opts(
        title_opts=opts.TitleOpts(),
        visualmap_opts=opts.VisualMapOpts(max_=200),
    )
)

c = (
    Map()
        .add("累计确诊", [list(z) for z in zip(data2_list, data5_list)], "china")
        .set_global_opts(
        title_opts=opts.TitleOpts(),
        visualmap_opts=opts.VisualMapOpts(max_=200),
    )
)

d = (
    Map()
        .add("死亡人数", [list(z) for z in zip(data2_list, data6_list)], "china")
        .set_global_opts(
        title_opts=opts.TitleOpts(),
        visualmap_opts=opts.VisualMapOpts(max_=200),
    )
)

e = (
    Map()
        .add("治愈人数", [list(z) for z in zip(data2_list, data7_list)], "china")
        .set_global_opts(
        title_opts=opts.TitleOpts(),
        visualmap_opts=opts.VisualMapOpts(max_=200),
    )
)

page = Page(layout=Page.DraggablePageLayout)
page.add(
    a,
    b,
    c,
    d,
    e,
)
# 先生成render.html文件
page.render()

# 完成上一步之后把 page.render()这行注释掉
# 然后循行这下面

Page.save_resize_html("render.html",
    cfg_file="chart_config.json",
    dest="my_test.html")