第七次人口普查数据可视化---pyecharts

前段时间利用pyecharts做了第七次人口普查数据可视化，需要的朋友可以拿去修改使用（代码在文章最后)。

演示图




源代码

# -*- coding:utf-8 -*-
import xlrd as excel  # 导入xlrd模块
from pyecharts.charts import Bar, Map, Pie
from pyecharts import options as opts
from pyecharts.globals import ThemeType
from pyecharts.charts import Line
from pyecharts.globals import CurrentConfig, NotebookType

CurrentConfig.NOTEBOOK_TYPE = NotebookType.NTERACT
import webbrowser as wb


def bar(*list):  # 柱状图

    list1 = list[0]
    list2 = list[1]

    c = (
        Bar(init_opts=opts.InitOpts(theme=ThemeType.LIGHT))
            .add_xaxis(list1)
            .add_yaxis("第七次人口普查各省人数比列", list2, category_gap="50%")
            .set_global_opts(
            xaxis_opts=opts.AxisOpts(axislabel_opts=opts.LabelOpts(rotate=-45)),
            title_opts=opts.TitleOpts(subtitle="总人数：1411778724", pos_left="center",pos_top="5%"),
        )
            .set_series_opts(
            label_opts=opts.LabelOpts(
                position="top",
                color="blue",
            )
        )
            .render("Bar.html")
    )
    wb.open("Bar.html")


def line():  # 七次普查人口数量变化
    years = ["1953", "1964", "1982", "1990", "2000", "2010", "2020"]  # 年份表
    data = [6.01, 7.23, 10.31, 11.60, 12.95, 13.70, 14.43]  # 数据含港澳台，单位:亿

    c = (
        Line(init_opts=opts.InitOpts(theme=ThemeType.CHALK))
            .add_xaxis(years)
            .add_yaxis("年份节点", data)
            .set_global_opts(title_opts=opts.TitleOpts(title="七次人口普查历年折线数据图", subtitle="单位：亿"))
            .render("line.html")
    )
    wb.open("line.html")


def ChianMap(*collection):
    points_tulpe = list(zip(collection[0], collection[1]))

    c = (
        Map(init_opts=opts.InitOpts(theme=ThemeType.CHALK))
            .add("", points_tulpe, "china")
            .set_series_opts(label_opts=opts.LabelOpts(is_show=True))
            .set_global_opts(title_opts=opts.TitleOpts(title="中国第七次人口普查各省数据", pos_left="center"))
            .render("provinceNum.html")
    )
    wb.open("provinceNum.html")

def pin():
    mf_ratio = [("男", 51.24), ("女", 48.76)]
    age_ratio = [("0-14岁", 17.95), ("15-59岁", 63.35), ("60岁及以上", 13.50)]
    graduation = [("大学（含大专及以上）", 15467), ("高中（含中专）", 15088), ("初中", 34507), ("小学", 24767)]
    c = (
        Pie(init_opts=opts.InitOpts(theme=ThemeType.CHALK))
            .add(
            " ",
            mf_ratio,
            radius=["15%", "30%"],
            center=["20%", "30%"],
        )
            .add(
            "",
            age_ratio,
            radius=["15%", "30%"],
            center=["45%", "30%"],
        )
            .add(
            "每十万人中",
            graduation,
            radius=["15%", "30%"],
            center=["20%", "70%"],
        )
            .set_global_opts(
            title_opts=opts.TitleOpts(title="男女比例、年龄比例、每十万人中受教育人数"),
            legend_opts=opts.LegendOpts(orient="vertical", pos_top="15%", pos_right="18%"),
        )
            .set_series_opts(label_opts=opts.LabelOpts(formatter="{b}: {c}"))
            .render('pie.html')

    )
    wb.open('pie.html')


def main():
    data_path = "第七次人口调查数据.xlsx"  # 文件的绝对路径
    sheetName = "第七次人口普查数据"  # sheet工作表的名字
    data = excel.open_workbook(data_path)  # 打开表格
    table = data.sheet_by_name(sheetName)
    area = table.col_values(0)  # 获取区域名字
    num = table.col_values(1)  # 获取人数
    ratio = table.col_values(2)  # 获取比例信息

    bar(area, ratio)  # 柱状图
    line()  # 历年人口数量变化
    ChianMap(area, num)  # 中国地图数量显示
    pin()  # 饼图


if __name__ == "__main__":
    main()

我使用的环境是Python3.6.0，在使用之前保证你已经安装pyecharts最新版本pyecharts v1，其它版本没有试过或许能用。普查数据要和程序放在同一文件下使用。

人口普查数据
链接：https://download.youkuaiyun.com/download/weixin_52658156/20346301