pyecharts从入门到精通-地图专题Map-带时间轴与网格的复杂绘图

pip install pyecharts==2.0.3
# Successfully installed prettytable-3.7.0 pyecharts-2.0.3 simplejson-3.19.1

import pyecharts
print(pyecharts.__version__) 
# 2.0.3

from typing import List
import pyecharts.options as opts
from pyecharts.globals import ThemeType
from pyecharts.commons.utils import JsCode
from pyecharts.charts import Timeline, Grid, Bar, Map, Pie, Line

"""
Gallery 使用 pyecharts 1.3.0
From pyecharts 交流分享群 -- 郭昱
"""
data = [
    {
        "time": "2013年",
        "data": [
            {"name": "广东省", "value": [62475.0, 9.85, "广东省"]},
            {"name": "江苏省", "value": [59753.0, 9.42, "江苏省"]},
            {"name": "山东省", "value": [55230.0, 8.71, "山东省"]},
            {"name": "浙江省", "value": [37757.0, 5.95, "浙江省"]},
            {"name": "河南省", "value": [32191.0, 5.07, "河南省"]},
            {"name": "河北省", "value": [28443.0, 4.48, "河北省"]},
            {"name": "辽宁省", "value": [27213.0, 4.29, "辽宁省"]},
            {"name": "四川省", "value": [26392.0, 4.16, "四川省"]},
            {"name": "湖北省", "value": [24792.0, 3.91, "湖北省"]},
            {"name": "湖南省", "value": [24622.0, 3.88, "湖南省"]},
            {"name": "福建省", "value": [21868.0, 3.45, "福建省"]},
            {"name": "上海市", "value": [21818.0, 3.44, "上海市"]},
            {"name": "北京市", "value": [19801.0, 3.12, "北京市"]},
            {"name": "安徽省", "value": [19229.0, 3.03, "安徽省"]},
            {"name": "内蒙古", "value": [16917.0, 2.67, "内蒙古"]},
            {"name": "陕西省", "value": [16205.0, 2.55, "陕西省"]},
            {"name": "黑龙江省", "value": [14455.0, 2.28, "黑龙江省"]},
            {"name": "广西壮族自治区", "value": [14450.0, 2.28, "广西壮族自治区"]},
            {"name": "天津市", "value": [14442.0, 2.28, "天津市"]},
            {"name": "江西省", "value": [14410.0, 2.27, "江西省"]},
            {"name": "吉林省", "value": [13046.0, 2.06, "吉林省"]},
            {"name": "重庆市", "value": [12783.0, 2.02, "重庆市"]},
            {"name": "山西省", "value": [12665.0, 2.0, "山西省"]},
            {"name": "云南省", "value": [11832.0, 1.87, "云南省"]},
            {"name": "新疆维吾尔自治区", "value": [8444.0, 1.33, "新疆维吾尔自治区"]},
            {"name": "贵州省", "value": [8087.0, 1.27, "贵州省"]},
            {"name": "甘肃省", "value": [6331.0, 1.0, "甘肃省"]},
            {"name": "海南省", "value": [3178.0, 0.5, "海南省"]},
            {"name": "宁夏回族自治区", "value": [2578.0, 0.41, "宁夏回族自治区"]},
            {"name": "青海省", "value": [2122.0, 0.33, "青海省"]},
            {"name": "西藏自治区", "value": [816.0, 0.13, "西藏自治区"]},
        ],
    },
    {
        "time": "2014年",
        "data": [
            {"name": "广东省", "value": [67810.0, 9.91, "广东省"]},
            {"name": "江苏省", "value": [65088.0, 9.51, "江苏省"]},
            {"name": "山东省", "value": [59427.0, 8.68, "山东省"]},
            {"name": "浙江省", "value": [40173.0, 5.87, "浙江省"]},
            {"name": "河南省", "value": [34938.0, 5.11, "河南省"]},
            {"name": "河北省", "value": [29421.0, 4.3, "河北省"]},
            {"name": "辽宁省", "value": [28627.0, 4.18, "辽宁省"]},
            {"name": "四川省", "value": [28537.0, 4.17, "四川省"]},
            {"name": "湖北省", "value": [27379.0, 4.0, "湖北省"]},
            {"name": "湖南省", "value": [27037.0, 3.95, "湖南省"]},
            {"name": "福建省", "value": [24056.0, 3.52, "福建省"]},
            {"name": "上海市", "value": [23568.0, 3.44, "上海市"]},
            {"name": "北京市", "value": [21331.0, 3.12, "北京市"]},
            {"name": "安徽省", "value": [20849.0, 3.05, "安徽省"]},
            {"name": "内蒙古", "value": [17770.0, 2.6, "内蒙古"]},
            {"name": "陕西省", "value": [17690.0, 2.58, "陕西省"]},
            {"name": "天津市", "value": [15727.0, 2.3, "天津市"]},
            {"name": "江西省", "value": [15715.0, 2.3, "江西省"]},
            {"name": "广西壮族自治区", "value": [15673.0, 2.29, "广西壮族自治区"]},
            {"name": "黑龙江省", "value": [15039.0, 2.2, "黑龙江省"]},
            {"name": "重庆市", "value": [14263.0, 2.08, "重庆市"]},
            {"name": "吉林省", "value": [13803.0, 2.02, "吉林省"]},
            {"name": "云南省", "value": [12815.0, 1.87, "云南省"]},
            {"name": "山西省", "value": [12761.0, 1.86, "山西省"]},
            {"name": "新疆维吾尔自治区", "value": [9273.0, 1.36, "新疆维吾尔自治区"]},
            {"name": "贵州省", "value": [9266.0, 1.35, "贵州省"]},
            {"name": "甘肃省", "value": [6837.0, 1.0, "甘肃省"]},
            {"name": "海南省", "value": [3501.0, 0.51, "海南省"]},
            {"name": "宁夏回族自治区", "value": [2752.0, 0.4, "宁夏回族自治区"]},
            {"name": "青海省", "value": [2303.0, 0.34, "青海省"]},
            {"name": "西藏自治区", "value": [921.0, 0.13, "西藏自治区"]},
        ],
    },
    {
        "time": "2015年",
        "data": [
            {"name": "广东省", "value": [72813.0, 10.07, "广东省"]},
            {"name": "江苏省", "value": [70116.0, 9.7, "江苏省"]},
            {"name": "山东省", "value": [63002.0, 8.72, "山东省"]},
            {"name": "浙江省", "value": [42886.0, 5.93, "浙江省"]},
            {"name": "河南省", "value": [37002.0, 5.12, "河南省"]},
            {"name": "四川省", "value": [30053.0, 4.16, "四川省"]},
            {"name": "河北省", "value": [29806.0, 4.12, "河北省"]},
            {"name": "湖北省", "value": [29550.0, 4.09, "湖北省"]},
            {"name": "湖南省", "value": [28902.0, 4.0, "湖南省"]},
            {"name": "辽宁省", "value": [28669.0, 3.97, "辽宁省"]},
            {"name": "福建省", "value": [25980.0, 3.59, "福建省"]},
            {"name": "上海市", "value": [25123.0, 3.48, "上海市"]},
            {"name": "北京市", "value": [23015.0, 3.18, "北京市"]},
            {"name": "安徽省", "value": [22006.0, 3.04, "安徽省"]},
            {"name": "陕西省", "value": [18022.0, 2.49, "陕西省"]},
            {"name": "内蒙古", "value": [17832.0, 2.47, "内蒙古"]},
            {"name": "广西壮族自治区", "value": [16803.0, 2.32, "广西壮族自治区"]},
            {"name": "江西省", "value": [16724.0, 2.31, "江西省"]},
            {"name": "天津市", "value": [16538.0, 2.29, "天津市"]},
            {"name": "重庆市", "value": [15717.0, 2.17, "重庆市"]},
            {"name": "黑龙江省", "value": [15084.0, 2.09, "黑龙江省"]},
            {"name": "吉林省", "value": [14063.0, 1.95, "吉林省"]},
            {"name": "云南省", "value": [13619.0, 1.88, "云南省"]},
            {"name": "山西省", "value": [12766.0, 1.77, "山西省"]},
            {"name": "贵州省", "value": [10503.0, 1.45, "贵州省"]},
            {"name": "新疆维吾尔自治区", "value": [9325.0, 1.29, "新疆维吾尔自治区"]},
            {"name": "甘肃省", "value": [6790.0, 0.94, "甘肃省"]},
            {"name": "海南省", "value": [3703.0, 0.51, "海南省"]},
            {"name": "宁夏回族自治区", "value": [2912.0, 0.4, "宁夏回族自治区"]},
            {"name": "青海省", "value": [2417.0, 0.33, "青海省"]},
            {"name": "西藏自治区", "value": [1026.0, 0.14, "西藏自治区"]},
        ],
    },
    {
        "time": "2016年",
        "data": [
            {"name": "广东省", "value": [80855.0, 10.37, "广东省"]},
            {"name": "江苏省", "value": [77388.0, 9.92, "江苏省"]},
            {"name": "山东省", "value": [68024.0, 8.72, "山东省"]},
            {"name": "浙江省", "value": [47251.0, 6.06, "浙江省"]},
            {"name": "河南省", "value": [40472.0, 5.19, "河南省"]},
            {"name": "四川省", "value": [32935.0, 4.22, "四川省"]},
            {"name": "湖北省", "value": [32665.0, 4.19, "湖北省"]},
            {"name": "河北省", "value": [32070.0, 4.11, "河北省"]},
            {"name": "湖南省", "value": [31551.0, 4.04, "湖南省"]},
            {"name": "福建省", "value": [28811.0, 3.69, "福建省"]},
            {"name": "上海市", "value": [28179.0, 3.61, "上海市"]},
            {"name": "北京市", "value": [25669.0, 3.29, "北京市"]},
            {"name": "安徽省", "value": [24408.0, 3.13, "安徽省"]},
            {"name": "辽宁省", "value": [22247.0, 2.85, "辽宁省"]},
            {"name": "陕西省", "value": [19400.0, 2.49, "陕西省"]},
            {"name": "江西省", "value": [18499.0, 2.37, "江西省"]},
            {"name": "广西壮族自治区", "value": [18318.0, 2.35, "广西壮族自治区"]},
            {"name": "内蒙古", "value": [18128.0, 2.32, "内蒙古"]},
            {"name": "天津市", "value": [17885.0, 2.29, "天津市"]},
            {"name": "重庆市", "value": [17741.0, 2.27, "重庆市"]},
            {"name": "黑龙江省", "value": [15386.0, 1.97, "黑龙江省"]},
            {"name": "云南省", "value": [14788.0, 1.9, "云南省"]},
            {"name": "吉林省", "value": [14777.0, 1.89, "吉林省"]},
            {"name": "山西省", "value": [13050.0, 1.67, "山西省"]},
            {"name": "贵州省", "value": [11777.0, 1.51, "贵州省"]},
            {"name": "新疆维吾尔自治区", "value": [9650.0, 1.24, "新疆维吾尔自治区"]},
            {"name": "甘肃省", "value": [7200.0, 0.92, "甘肃省"]},
            {"name": "海南省", "value": [4053.0, 0.52, "海南省"]},
            {"name": "宁夏回族自治区", "value": [3169.0, 0.41, "宁夏回族自治区"]},
            {"name": "青海省", "value": [2572.0, 0.33, "青海省"]},
            {"name": "西藏自治区", "value": [1151.0, 0.15, "西藏自治区"]},
        ],
    },
    {
        "time": "2017年",
        "data": [
            {"name": "广东省", "value": [89705.0, 10.59, "广东省"]},
            {"name": "江苏省", "value": [85870.0, 10.14, "江苏省"]},
            {"name": "山东省", "value": [72634.0, 8.57, "山东省"]},
            {"name": "浙江省", "value": [51768.0, 6.11, "浙江省"]},
            {"name": "河南省", "value": [44553.0, 5.26, "河南省"]},
            {"name": "四川省", "value": [36980.0, 4.37, "四川省"]},
            {"name": "湖北省", "value": [35478.0, 4.19, "湖北省"]},
            {"name": "河北省", "value": [34016.0, 4.02, "河北省"]},
            {"name": "湖南省", "value": [33903.0, 4.0, "湖南省"]},
            {"name": "福建省", "value": [32182.0, 3.8, "福建省"]},
            {"name": "上海市", "value": [30633.0, 3.62, "上海市"]},
            {"name": "北京市", "value": [28015.0, 3.31, "北京市"]},
            {"name": "安徽省", "value": [27018.0, 3.19, "安徽省"]},
            {"name": "辽宁省", "value": [23409.0, 2.76, "辽宁省"]},
            {"name": "陕西省", "value": [21899.0, 2.59, "陕西省"]},
            {"name": "江西省", "value": [20006.0, 2.36, "江西省"]},
            {"name": "重庆市", "value": [19425.0, 2.29, "重庆市"]},
            {"name": "天津市", "value": [18549.0, 2.19, "天津市"]},
            {"name": "广西壮族自治区", "value": [18523.0, 2.19, "广西壮族自治区"]},
            {"name": "云南省", "value": [16376.0, 1.93, "云南省"]},
            {"name": "内蒙古", "value": [16096.0, 1.9, "内蒙古"]},
            {"name": "黑龙江省", "value": [15903.0, 1.88, "黑龙江省"]},
            {"name": "山西省", "value": [15528.0, 1.83, "山西省"]},
            {"name": "吉林省", "value": [14945.0, 1.76, "吉林省"]},
            {"name": "贵州省", "value": [13541.0, 1.6, "贵州省"]},
            {"name": "新疆维吾尔自治区", "value": [10882.0, 1.28, "新疆维吾尔自治区"]},
            {"name": "甘肃省", "value": [7460.0, 0.88, "甘肃省"]},
            {"name": "海南省", "value": [4463.0, 0.53, "海南省"]},
            {"name": "宁夏回族自治区", "value": [3444.0, 0.41, "宁夏回族自治区"]},
            {"name": "青海省", "value": [2625.0, 0.31, "青海省"]},
            {"name": "西藏自治区", "value": [1311.0, 0.15, "西藏自治区"]},
        ],
    },
    {
        "time": "2018年",
        "data": [
            {"name": "广东省", "value": [97278.0, 10.63, "广东省"]},
            {"name": "江苏省", "value": [92595.0, 10.12, "江苏省"]},
            {"name": "山东省", "value": [76470.0, 8.36, "山东省"]},
            {"name": "浙江省", "value": [56197.0, 6.14, "浙江省"]},
            {"name": "河南省", "value": [48056.0, 5.25, "河南省"]},
            {"name": "四川省", "value": [40678.0, 4.45, "四川省"]},
            {"name": "湖北省", "value": [39367.0, 4.3, "湖北省"]},
            {"name": "湖南省", "value": [36426.0, 3.98, "湖南省"]},
            {"name": "河北省", "value": [36010.0, 3.94, "河北省"]},
            {"name": "福建省", "value": [35804.0, 3.91, "福建省"]},
            {"name": "上海市", "value": [32680.0, 3.57, "上海市"]},
            {"name": "北京市", "value": [30320.0, 3.31, "北京市"]},
            {"name": "安徽省", "value": [30007.0, 3.28, "安徽省"]},
            {"name": "辽宁省", "value": [25315.0, 2.77, "辽宁省"]},
            {"name": "陕西省", "value": [24438.0, 2.67, "陕西省"]},
            {"name": "江西省", "value": [21985.0, 2.4, "江西省"]},
            {"name": "重庆市", "value": [20363.0, 2.23, "重庆市"]},
            {"name": "广西壮族自治区", "value": [20353.0, 2.23, "广西壮族自治区"]},
            {"name": "天津市", "value": [18810.0, 2.06, "天津市"]},
            {"name": "云南省", "value": [17881.0, 1.95, "云南省"]},
            {"name": "内蒙古", "value": [17289.0, 1.89, "内蒙古"]},
            {"name": "山西省", "value": [16818.0, 1.84, "山西省"]},
            {"name": "黑龙江省", "value": [16362.0, 1.79, "黑龙江省"]},
            {"name": "吉林省", "value": [15075.0, 1.65, "吉林省"]},
            {"name": "贵州省", "value": [14806.0, 1.62, "贵州省"]},
            {"name": "新疆维吾尔自治区", "value": [12199.0, 1.33, "新疆维吾尔自治区"]},
            {"name": "甘肃省", "value": [8246.0, 0.9, "甘肃省"]},
            {"name": "海南省", "value": [4832.0, 0.53, "海南省"]},
            {"name": "宁夏回族自治区", "value": [3705.0, 0.41, "宁夏回族自治区"]},
            {"name": "青海省", "value": [2865.0, 0.31, "青海省"]},
            {"name": "西藏自治区", "value": [1478.0, 0.16, "西藏自治区"]},
        ],
    },
]

# 生成2013-2019年的时间列表
time_list = [str(d) + "年" for d in range(2013, 2019)] 
time_list

total_num = [
    63.4,
    68.4,
    72.3,
    78,
    84.7,
    91.5,
]
total_num

maxNum = 97300
minNum = 30

# 提取2013年的数据
year = '2013年'
# data为每个年份的各个省份GDP数据    
map_data = [
    [[x["name"], x["value"]] for x in d["data"]] for d in data if d["time"] == year
][0]
print(map_data) #当输入的年份为2013时
'''
[['广东省', [62475.0, 9.85, '广东省']], ['江苏省', [59753.0, 9.42, '江苏省']], ['山东省', [55230.0, 8.71, '山东省']], 
...
['青海省', [2122.0, 0.33, '青海省']], ['西藏自治区', [816.0, 0.13, '西藏自治区']]]
'''
min_data, max_data = (minNum, maxNum)
data_mark: List = []
i = 0
for x in time_list:
    if x == year:
        data_mark.append(total_num[i])
    else:
        data_mark.append("")
    i = i + 1
print("data_mark-->",data_mark)
# data_mark--> [63.4, '', '', '', '', ''] #当输入的年份为2013时

#  生成地图 
def get_year_chart_map(year: str,map_data,min_data=0,max_data=1000):
    map_chart = (
        Map()
        .add(
            series_name="",
            data_pair=map_data,
            maptype='china',
            zoom=1,
            center=[119.5, 34.5],
            is_map_symbol_show=False,
            itemstyle_opts={
                "normal": {"areaColor": "#323c48", "borderColor": "#404a59"},
                "emphasis": {
                    "label": {"show": Timeline},
                    "areaColor": "rgba(255,255,255, 0.5)",
                },
            },
        )
        .set_global_opts(
            title_opts=opts.TitleOpts(
                title="" + str(year) + "全国分地区GPD情况（单位：亿） 数据来源：国家统计局",
                subtitle="",
                pos_left="center",
                pos_top="top",
                title_textstyle_opts=opts.TextStyleOpts(
                    font_size=25, color="rgba(255,255,255, 0.9)"
                ),
            ),
            tooltip_opts=opts.TooltipOpts(
                is_show=True,
                formatter=JsCode(
                    """function(params) {
                    if ('value' in params.data) {
                        return params.data.value[2] + ': ' + params.data.value[0];
                    }
                }"""
                ),
            ),
            visualmap_opts=opts.VisualMapOpts(
                is_calculable=True,
                dimension=0,
                pos_left="30",
                pos_top="center",
                range_text=["High", "Low"],
                range_color=["lightskyblue", "yellow", "orangered"],
                textstyle_opts=opts.TextStyleOpts(color="#ddd"),
                min_=min_data,
                max_=max_data,
            ),
        )
    )
    return map_chart

map_chart = get_year_chart_map(year=year,map_data=map_data,min_data=min_data,max_data=max_data)
map_chart.render_notebook()

def get_year_chart_line(year=year,map_data=map_data,min_data=min_data,max_data=max_data,data_mark=data_mark):
    line_chart = (
        Line()
        .add_xaxis(time_list)
        .add_yaxis("", total_num)
        .add_yaxis(
            "",
            data_mark,
            markpoint_opts=opts.MarkPointOpts(data=[opts.MarkPointItem(type_="max")]),
        )
        .set_series_opts(label_opts=opts.LabelOpts(is_show=False))
        .set_global_opts(
            title_opts=opts.TitleOpts(
                title="全国GDP总量{}（单位：万亿）".format(year), pos_left="50%", pos_top="5%"
            )
        )
    )
    return line_chart

line = get_year_chart_line(year=year,map_data=map_data,min_data=min_data,max_data=max_data,data_mark=data_mark)
line.render_notebook()

def get_year_chart_bar(year=year,map_data=map_data,min_data=min_data,max_data=max_data):
    bar_x_data = [x[0] for x in map_data]
    bar_y_data = [{"name": x[0], "value": x[1][0]} for x in map_data]
    bar = (
        Bar()
        .add_xaxis(xaxis_data=bar_x_data)
        .add_yaxis(
            series_name="",
            y_axis=bar_y_data,
            label_opts=opts.LabelOpts(
                is_show=True, position="right", formatter="{b} : {c}"
            ),
        )
        .reversal_axis()
        .set_global_opts(
            xaxis_opts=opts.AxisOpts(
                max_=maxNum, axislabel_opts=opts.LabelOpts(is_show=False)
            ),
            yaxis_opts=opts.AxisOpts(axislabel_opts=opts.LabelOpts(is_show=False)),
            tooltip_opts=opts.TooltipOpts(is_show=False),
            visualmap_opts=opts.VisualMapOpts(
                is_calculable=True,
                dimension=0,
                pos_left="10",
                pos_top="top",
                range_text=["High", "Low"],
                range_color=["lightskyblue", "yellow", "orangered"],
                textstyle_opts=opts.TextStyleOpts(color="#ddd"),
                min_=min_data,
                max_=max_data,
            ),
        )
    )
    return bar

bar = get_year_chart_bar(year=year,map_data=map_data,min_data=min_data,max_data=max_data)
bar.render_notebook()

def get_year_chart_pie(year=year,map_data=map_data,min_data=min_data,max_data=max_data):
    pie_data = [[x[0], x[1][0]] for x in map_data]
    pie = (
        Pie()
        .add(
            series_name="",
            data_pair=pie_data,
            radius=["15%", "35%"],
            center=["80%", "82%"],
            itemstyle_opts=opts.ItemStyleOpts(
                border_width=1, border_color="rgba(0,0,0,0.3)"
            ),
        )
        .set_global_opts(
            tooltip_opts=opts.TooltipOpts(is_show=True, formatter="{b} {d}%"),
            legend_opts=opts.LegendOpts(is_show=False),
        )
    )
    return pie

pie = get_year_chart_pie(year=year,map_data=map_data,min_data=min_data,max_data=max_data)
pie.render_notebook()

def get_year_chart(year: str,data,min_data=0,max_data=1000):
    # data为每个年份的各个省份GDP数据    
    map_data = [
        [[x["name"], x["value"]] for x in d["data"]] for d in data if d["time"] == year
    ][0]
    # print(map_data) #当输入的年份为2013时
    '''
    [['广东省', [62475.0, 9.85, '广东省']], ['江苏省', [59753.0, 9.42, '江苏省']], ['山东省', [55230.0, 8.71, '山东省']], 
    ...
    ['青海省', [2122.0, 0.33, '青海省']], ['西藏自治区', [816.0, 0.13, '西藏自治区']]]
    '''
    min_data, max_data = (minNum, maxNum)
    data_mark: List = []
    i = 0
    for x in time_list:
        if x == year:
            data_mark.append(total_num[i])
        else:
            data_mark.append("")
        i = i + 1
    # print("data_mark-->",data_mark)
    # data_mark--> [63.4, '', '', '', '', ''] #当输入的年份为2013时
    map_chart = get_year_chart_map(year=year,map_data=map_data,min_data=min_data,max_data=max_data)
    line = get_year_chart_line(year=year,map_data=map_data,min_data=min_data,max_data=max_data,data_mark=data_mark)
    bar = get_year_chart_bar(year=year,map_data=map_data,min_data=min_data,max_data=max_data)
    pie = get_year_chart_pie(year=year,map_data=map_data,min_data=min_data,max_data=max_data)
    grid_chart = (
        Grid()
        .add(
            bar,
            grid_opts=opts.GridOpts(
                pos_left="10", pos_right="45%", pos_top="50%", pos_bottom="5"
            ),
        )
        .add(
            line,
            grid_opts=opts.GridOpts(
                pos_left="65%", pos_right="80", pos_top="10%", pos_bottom="50%"
            ),
        )
        .add(pie, grid_opts=opts.GridOpts(pos_left="45%", pos_top="60%"))
        .add(map_chart, grid_opts=opts.GridOpts())
    )
    return grid_chart

g = get_year_chart(year='2013年',data=data)
g.render_notebook()
# g.render("g.html")

if __name__ == "__main__":
    timeline = Timeline(
        init_opts=opts.InitOpts(width="1600px", height="900px", theme=ThemeType.DARK)
    )
    for y in time_list:
        g = get_year_chart(year=y,data=data)
        timeline.add(g, time_point=str(y))
    timeline.add_schema(
        orient="vertical",
        is_auto_play=True,
        is_inverse=True,
        play_interval=5000,
        pos_left="null",
        pos_right="5",
        pos_top="20",
        pos_bottom="20",
        width="60",
        label_opts=opts.LabelOpts(is_show=True, color="#fff"),
    )
#     timeline.render_notebook()
    timeline.render("china_gdp_from_2013_to_2018.html")

from typing import List
import pyecharts.options as opts
from pyecharts.globals import ThemeType
from pyecharts.commons.utils import JsCode
from pyecharts.charts import Timeline, Grid, Bar, Map, Pie, Line
"""
Gallery 使用 pyecharts 1.3.0
From pyecharts 交流分享群 -- 郭昱
"""
data = [
    {
        "time": "2013年",
        "data": [
            {"name": "广东省", "value": [62475.0, 9.85, "广东省"]},
            {"name": "江苏省", "value": [59753.0, 9.42, "江苏省"]},
            {"name": "山东省", "value": [55230.0, 8.71, "山东省"]},
            {"name": "浙江省", "value": [37757.0, 5.95, "浙江省"]},
            {"name": "河南省", "value": [32191.0, 5.07, "河南省"]},
            {"name": "河北省", "value": [28443.0, 4.48, "河北省"]},
            {"name": "辽宁省", "value": [27213.0, 4.29, "辽宁省"]},
            {"name": "四川省", "value": [26392.0, 4.16, "四川省"]},
            {"name": "湖北省", "value": [24792.0, 3.91, "湖北省"]},
            {"name": "湖南省", "value": [24622.0, 3.88, "湖南省"]},
            {"name": "福建省", "value": [21868.0, 3.45, "福建省"]},
            {"name": "上海市", "value": [21818.0, 3.44, "上海市"]},
            {"name": "北京市", "value": [19801.0, 3.12, "北京市"]},
            {"name": "安徽省", "value": [19229.0, 3.03, "安徽省"]},
            {"name": "内蒙古", "value": [16917.0, 2.67, "内蒙古"]},
            {"name": "陕西省", "value": [16205.0, 2.55, "陕西省"]},
            {"name": "黑龙江省", "value": [14455.0, 2.28, "黑龙江省"]},
            {"name": "广西壮族自治区", "value": [14450.0, 2.28, "广西壮族自治区"]},
            {"name": "天津市", "value": [14442.0, 2.28, "天津市"]},
            {"name": "江西省", "value": [14410.0, 2.27, "江西省"]},
            {"name": "吉林省", "value": [13046.0, 2.06, "吉林省"]},
            {"name": "重庆市", "value": [12783.0, 2.02, "重庆市"]},
            {"name": "山西省", "value": [12665.0, 2.0, "山西省"]},
            {"name": "云南省", "value": [11832.0, 1.87, "云南省"]},
            {"name": "新疆维吾尔自治区", "value": [8444.0, 1.33, "新疆维吾尔自治区"]},
            {"name": "贵州省", "value": [8087.0, 1.27, "贵州省"]},
            {"name": "甘肃省", "value": [6331.0, 1.0, "甘肃省"]},
            {"name": "海南省", "value": [3178.0, 0.5, "海南省"]},
            {"name": "宁夏回族自治区", "value": [2578.0, 0.41, "宁夏回族自治区"]},
            {"name": "青海省", "value": [2122.0, 0.33, "青海省"]},
            {"name": "西藏自治区", "value": [816.0, 0.13, "西藏自治区"]},
        ],
    },
    {
        "time": "2014年",
        "data": [
            {"name": "广东省", "value": [67810.0, 9.91, "广东省"]},
            {"name": "江苏省", "value": [65088.0, 9.51, "江苏省"]},
            {"name": "山东省", "value": [59427.0, 8.68, "山东省"]},
            {"name": "浙江省", "value": [40173.0, 5.87, "浙江省"]},
            {"name": "河南省", "value": [34938.0, 5.11, "河南省"]},
            {"name": "河北省", "value": [29421.0, 4.3, "河北省"]},
            {"name": "辽宁省", "value": [28627.0, 4.18, "辽宁省"]},
            {"name": "四川省", "value": [28537.0, 4.17, "四川省"]},
            {"name": "湖北省", "value": [27379.0, 4.0, "湖北省"]},
            {"name": "湖南省", "value": [27037.0, 3.95, "湖南省"]},
            {"name": "福建省", "value": [24056.0, 3.52, "福建省"]},
            {"name": "上海市", "value": [23568.0, 3.44, "上海市"]},
            {"name": "北京市", "value": [21331.0, 3.12, "北京市"]},
            {"name": "安徽省", "value": [20849.0, 3.05, "安徽省"]},
            {"name": "内蒙古", "value": [17770.0, 2.6, "内蒙古"]},
            {"name": "陕西省", "value": [17690.0, 2.58, "陕西省"]},
            {"name": "天津市", "value": [15727.0, 2.3, "天津市"]},
            {"name": "江西省", "value": [15715.0, 2.3, "江西省"]},
            {"name": "广西壮族自治区", "value": [15673.0, 2.29, "广西壮族自治区"]},
            {"name": "黑龙江省", "value": [15039.0, 2.2, "黑龙江省"]},
            {"name": "重庆市", "value": [14263.0, 2.08, "重庆市"]},
            {"name": "吉林省", "value": [13803.0, 2.02, "吉林省"]},
            {"name": "云南省", "value": [12815.0, 1.87, "云南省"]},
            {"name": "山西省", "value": [12761.0, 1.86, "山西省"]},
            {"name": "新疆维吾尔自治区", "value": [9273.0, 1.36, "新疆维吾尔自治区"]},
            {"name": "贵州省", "value": [9266.0, 1.35, "贵州省"]},
            {"name": "甘肃省", "value": [6837.0, 1.0, "甘肃省"]},
            {"name": "海南省", "value": [3501.0, 0.51, "海南省"]},
            {"name": "宁夏回族自治区", "value": [2752.0, 0.4, "宁夏回族自治区"]},
            {"name": "青海省", "value": [2303.0, 0.34, "青海省"]},
            {"name": "西藏自治区", "value": [921.0, 0.13, "西藏自治区"]},
        ],
    },
    {
        "time": "2015年",
        "data": [
            {"name": "广东省", "value": [72813.0, 10.07, "广东省"]},
            {"name": "江苏省", "value": [70116.0, 9.7, "江苏省"]},
            {"name": "山东省", "value": [63002.0, 8.72, "山东省"]},
            {"name": "浙江省", "value": [42886.0, 5.93, "浙江省"]},
            {"name": "河南省", "value": [37002.0, 5.12, "河南省"]},
            {"name": "四川省", "value": [30053.0, 4.16, "四川省"]},
            {"name": "河北省", "value": [29806.0, 4.12, "河北省"]},
            {"name": "湖北省", "value": [29550.0, 4.09, "湖北省"]},
            {"name": "湖南省", "value": [28902.0, 4.0, "湖南省"]},
            {"name": "辽宁省", "value": [28669.0, 3.97, "辽宁省"]},
            {"name": "福建省", "value": [25980.0, 3.59, "福建省"]},
            {"name": "上海市", "value": [25123.0, 3.48, "上海市"]},
            {"name": "北京市", "value": [23015.0, 3.18, "北京市"]},
            {"name": "安徽省", "value": [22006.0, 3.04, "安徽省"]},
            {"name": "陕西省", "value": [18022.0, 2.49, "陕西省"]},
            {"name": "内蒙古", "value": [17832.0, 2.47, "内蒙古"]},
            {"name": "广西壮族自治区", "value": [16803.0, 2.32, "广西壮族自治区"]},
            {"name": "江西省", "value": [16724.0, 2.31, "江西省"]},
            {"name": "天津市", "value": [16538.0, 2.29, "天津市"]},
            {"name": "重庆市", "value": [15717.0, 2.17, "重庆市"]},
            {"name": "黑龙江省", "value": [15084.0, 2.09, "黑龙江省"]},
            {"name": "吉林省", "value": [14063.0, 1.95, "吉林省"]},
            {"name": "云南省", "value": [13619.0, 1.88, "云南省"]},
            {"name": "山西省", "value": [12766.0, 1.77, "山西省"]},
            {"name": "贵州省", "value": [10503.0, 1.45, "贵州省"]},
            {"name": "新疆维吾尔自治区", "value": [9325.0, 1.29, "新疆维吾尔自治区"]},
            {"name": "甘肃省", "value": [6790.0, 0.94, "甘肃省"]},
            {"name": "海南省", "value": [3703.0, 0.51, "海南省"]},
            {"name": "宁夏回族自治区", "value": [2912.0, 0.4, "宁夏回族自治区"]},
            {"name": "青海省", "value": [2417.0, 0.33, "青海省"]},
            {"name": "西藏自治区", "value": [1026.0, 0.14, "西藏自治区"]},
        ],
    },
    {
        "time": "2016年",
        "data": [
            {"name": "广东省", "value": [80855.0, 10.37, "广东省"]},
            {"name": "江苏省", "value": [77388.0, 9.92, "江苏省"]},
            {"name": "山东省", "value": [68024.0, 8.72, "山东省"]},
            {"name": "浙江省", "value": [47251.0, 6.06, "浙江省"]},
            {"name": "河南省", "value": [40472.0, 5.19, "河南省"]},
            {"name": "四川省", "value": [32935.0, 4.22, "四川省"]},
            {"name": "湖北省", "value": [32665.0, 4.19, "湖北省"]},
            {"name": "河北省", "value": [32070.0, 4.11, "河北省"]},
            {"name": "湖南省", "value": [31551.0, 4.04, "湖南省"]},
            {"name": "福建省", "value": [28811.0, 3.69, "福建省"]},
            {"name": "上海市", "value": [28179.0, 3.61, "上海市"]},
            {"name": "北京市", "value": [25669.0, 3.29, "北京市"]},
            {"name": "安徽省", "value": [24408.0, 3.13, "安徽省"]},
            {"name": "辽宁省", "value": [22247.0, 2.85, "辽宁省"]},
            {"name": "陕西省", "value": [19400.0, 2.49, "陕西省"]},
            {"name": "江西省", "value": [18499.0, 2.37, "江西省"]},
            {"name": "广西壮族自治区", "value": [18318.0, 2.35, "广西壮族自治区"]},
            {"name": "内蒙古", "value": [18128.0, 2.32, "内蒙古"]},
            {"name": "天津市", "value": [17885.0, 2.29, "天津市"]},
            {"name": "重庆市", "value": [17741.0, 2.27, "重庆市"]},
            {"name": "黑龙江省", "value": [15386.0, 1.97, "黑龙江省"]},
            {"name": "云南省", "value": [14788.0, 1.9, "云南省"]},
            {"name": "吉林省", "value": [14777.0, 1.89, "吉林省"]},
            {"name": "山西省", "value": [13050.0, 1.67, "山西省"]},
            {"name": "贵州省", "value": [11777.0, 1.51, "贵州省"]},
            {"name": "新疆维吾尔自治区", "value": [9650.0, 1.24, "新疆维吾尔自治区"]},
            {"name": "甘肃省", "value": [7200.0, 0.92, "甘肃省"]},
            {"name": "海南省", "value": [4053.0, 0.52, "海南省"]},
            {"name": "宁夏回族自治区", "value": [3169.0, 0.41, "宁夏回族自治区"]},
            {"name": "青海省", "value": [2572.0, 0.33, "青海省"]},
            {"name": "西藏自治区", "value": [1151.0, 0.15, "西藏自治区"]},
        ],
    },
    {
        "time": "2017年",
        "data": [
            {"name": "广东省", "value": [89705.0, 10.59, "广东省"]},
            {"name": "江苏省", "value": [85870.0, 10.14, "江苏省"]},
            {"name": "山东省", "value": [72634.0, 8.57, "山东省"]},
            {"name": "浙江省", "value": [51768.0, 6.11, "浙江省"]},
            {"name": "河南省", "value": [44553.0, 5.26, "河南省"]},
            {"name": "四川省", "value": [36980.0, 4.37, "四川省"]},
            {"name": "湖北省", "value": [35478.0, 4.19, "湖北省"]},
            {"name": "河北省", "value": [34016.0, 4.02, "河北省"]},
            {"name": "湖南省", "value": [33903.0, 4.0, "湖南省"]},
            {"name": "福建省", "value": [32182.0, 3.8, "福建省"]},
            {"name": "上海市", "value": [30633.0, 3.62, "上海市"]},
            {"name": "北京市", "value": [28015.0, 3.31, "北京市"]},
            {"name": "安徽省", "value": [27018.0, 3.19, "安徽省"]},
            {"name": "辽宁省", "value": [23409.0, 2.76, "辽宁省"]},
            {"name": "陕西省", "value": [21899.0, 2.59, "陕西省"]},
            {"name": "江西省", "value": [20006.0, 2.36, "江西省"]},
            {"name": "重庆市", "value": [19425.0, 2.29, "重庆市"]},
            {"name": "天津市", "value": [18549.0, 2.19, "天津市"]},
            {"name": "广西壮族自治区", "value": [18523.0, 2.19, "广西壮族自治区"]},
            {"name": "云南省", "value": [16376.0, 1.93, "云南省"]},
            {"name": "内蒙古", "value": [16096.0, 1.9, "内蒙古"]},
            {"name": "黑龙江省", "value": [15903.0, 1.88, "黑龙江省"]},
            {"name": "山西省", "value": [15528.0, 1.83, "山西省"]},
            {"name": "吉林省", "value": [14945.0, 1.76, "吉林省"]},
            {"name": "贵州省", "value": [13541.0, 1.6, "贵州省"]},
            {"name": "新疆维吾尔自治区", "value": [10882.0, 1.28, "新疆维吾尔自治区"]},
            {"name": "甘肃省", "value": [7460.0, 0.88, "甘肃省"]},
            {"name": "海南省", "value": [4463.0, 0.53, "海南省"]},
            {"name": "宁夏回族自治区", "value": [3444.0, 0.41, "宁夏回族自治区"]},
            {"name": "青海省", "value": [2625.0, 0.31, "青海省"]},
            {"name": "西藏自治区", "value": [1311.0, 0.15, "西藏自治区"]},
        ],
    },
    {
        "time": "2018年",
        "data": [
            {"name": "广东省", "value": [97278.0, 10.63, "广东省"]},
            {"name": "江苏省", "value": [92595.0, 10.12, "江苏省"]},
            {"name": "山东省", "value": [76470.0, 8.36, "山东省"]},
            {"name": "浙江省", "value": [56197.0, 6.14, "浙江省"]},
            {"name": "河南省", "value": [48056.0, 5.25, "河南省"]},
            {"name": "四川省", "value": [40678.0, 4.45, "四川省"]},
            {"name": "湖北省", "value": [39367.0, 4.3, "湖北省"]},
            {"name": "湖南省", "value": [36426.0, 3.98, "湖南省"]},
            {"name": "河北省", "value": [36010.0, 3.94, "河北省"]},
            {"name": "福建省", "value": [35804.0, 3.91, "福建省"]},
            {"name": "上海市", "value": [32680.0, 3.57, "上海市"]},
            {"name": "北京市", "value": [30320.0, 3.31, "北京市"]},
            {"name": "安徽省", "value": [30007.0, 3.28, "安徽省"]},
            {"name": "辽宁省", "value": [25315.0, 2.77, "辽宁省"]},
            {"name": "陕西省", "value": [24438.0, 2.67, "陕西省"]},
            {"name": "江西省", "value": [21985.0, 2.4, "江西省"]},
            {"name": "重庆市", "value": [20363.0, 2.23, "重庆市"]},
            {"name": "广西壮族自治区", "value": [20353.0, 2.23, "广西壮族自治区"]},
            {"name": "天津市", "value": [18810.0, 2.06, "天津市"]},
            {"name": "云南省", "value": [17881.0, 1.95, "云南省"]},
            {"name": "内蒙古", "value": [17289.0, 1.89, "内蒙古"]},
            {"name": "山西省", "value": [16818.0, 1.84, "山西省"]},
            {"name": "黑龙江省", "value": [16362.0, 1.79, "黑龙江省"]},
            {"name": "吉林省", "value": [15075.0, 1.65, "吉林省"]},
            {"name": "贵州省", "value": [14806.0, 1.62, "贵州省"]},
            {"name": "新疆维吾尔自治区", "value": [12199.0, 1.33, "新疆维吾尔自治区"]},
            {"name": "甘肃省", "value": [8246.0, 0.9, "甘肃省"]},
            {"name": "海南省", "value": [4832.0, 0.53, "海南省"]},
            {"name": "宁夏回族自治区", "value": [3705.0, 0.41, "宁夏回族自治区"]},
            {"name": "青海省", "value": [2865.0, 0.31, "青海省"]},
            {"name": "西藏自治区", "value": [1478.0, 0.16, "西藏自治区"]},
        ],
    },
]
# 生成2013-2019年的时间列表
time_list = [str(d) + "年" for d in range(2013, 2019)] 
time_list
total_num = [
    63.4,
    68.4,
    72.3,
    78,
    84.7,
    91.5,
]
total_num
maxNum = 97300
minNum = 30
#  生成地图 
def get_year_chart_map(year: str,map_data,min_data=0,max_data=1000):
    map_chart = (
        Map()
        .add(
            series_name="",
            data_pair=map_data,
            maptype='china',
            zoom=1,
            center=[119.5, 34.5],
            is_map_symbol_show=False,
            itemstyle_opts={
                "normal": {"areaColor": "#323c48", "borderColor": "#404a59"},
                "emphasis": {
                    "label": {"show": Timeline},
                    "areaColor": "rgba(255,255,255, 0.5)",
                },
            },
        )
        .set_global_opts(
            title_opts=opts.TitleOpts(
                title="" + str(year) + "全国分地区GPD情况（单位：亿） 数据来源：国家统计局",
                subtitle="",
                pos_left="center",
                pos_top="top",
                title_textstyle_opts=opts.TextStyleOpts(
                    font_size=25, color="rgba(255,255,255, 0.9)"
                ),
            ),
            tooltip_opts=opts.TooltipOpts(
                is_show=True,
                formatter=JsCode(
                    """function(params) {
                    if ('value' in params.data) {
                        return params.data.value[2] + ': ' + params.data.value[0];
                    }
                }"""
                ),
            ),
            visualmap_opts=opts.VisualMapOpts(
                is_calculable=True,
                dimension=0,
                pos_left="30",
                pos_top="center",
                range_text=["High", "Low"],
                range_color=["lightskyblue", "yellow", "orangered"],
                textstyle_opts=opts.TextStyleOpts(color="#ddd"),
                min_=min_data,
                max_=max_data,
            ),
        )
    )
    return map_chart
def get_year_chart_line(year=year,map_data=map_data,min_data=min_data,max_data=max_data,data_mark=data_mark):
    line_chart = (
        Line()
        .add_xaxis(time_list)
        .add_yaxis('', total_num)
        .add_yaxis(
            "",
            data_mark,
            markpoint_opts=opts.MarkPointOpts(data=[opts.MarkPointItem(type_="max")]),
        )
        .set_series_opts(label_opts=opts.LabelOpts(is_show=False))
        .set_global_opts(
            title_opts=opts.TitleOpts(
                title="全国GDP总量{}（单位：万亿）".format(year), pos_left="50%", pos_top="5%"
            )
        )
    )
    return line_chart
def get_year_chart_bar(year=year,map_data=map_data,min_data=min_data,max_data=max_data):
    bar_x_data = [x[0] for x in map_data]
    bar_y_data = [{"name": x[0], "value": x[1][0]} for x in map_data]
    bar = (
        Bar()
        .add_xaxis(xaxis_data=bar_x_data)
        .add_yaxis(
            series_name="",
            y_axis=bar_y_data,
            label_opts=opts.LabelOpts(
                is_show=True, position="right", formatter="{b} : {c}"
            ),
        )
        .reversal_axis()
        .set_global_opts(
            xaxis_opts=opts.AxisOpts(
                max_=maxNum, axislabel_opts=opts.LabelOpts(is_show=False)
            ),
            yaxis_opts=opts.AxisOpts(axislabel_opts=opts.LabelOpts(is_show=False)),
            tooltip_opts=opts.TooltipOpts(is_show=False),
            visualmap_opts=opts.VisualMapOpts(
                is_calculable=True,
                dimension=0,
                pos_left="10",
                pos_top="top",
                range_text=["High", "Low"],
                range_color=["lightskyblue", "yellow", "orangered"],
                textstyle_opts=opts.TextStyleOpts(color="#ddd"),
                min_=min_data,
                max_=max_data,
            ),
        )
    )
    return bar
def get_year_chart_pie(year=year,map_data=map_data,min_data=min_data,max_data=max_data):
    pie_data = [[x[0], x[1][0]] for x in map_data]
    pie = (
        Pie()
        .add(
            series_name="",
            data_pair=pie_data,
            radius=["15%", "35%"],
            center=["80%", "82%"],
            itemstyle_opts=opts.ItemStyleOpts(
                border_width=1, border_color="rgba(0,0,0,0.3)"
            ),
        )
        .set_global_opts(
            tooltip_opts=opts.TooltipOpts(is_show=True, formatter="{b} {d}%"),
            legend_opts=opts.LegendOpts(is_show=False),
        )
    )
    return pie
def get_year_chart(year: str,data,min_data=0,max_data=1000):
    # data为每个年份的各个省份GDP数据    
    map_data = [
        [[x["name"], x["value"]] for x in d["data"]] for d in data if d["time"] == year
    ][0]
    # print(map_data) #当输入的年份为2013时
    '''
    [['广东省', [62475.0, 9.85, '广东省']], ['江苏省', [59753.0, 9.42, '江苏省']], ['山东省', [55230.0, 8.71, '山东省']], 
    ...
    ['青海省', [2122.0, 0.33, '青海省']], ['西藏自治区', [816.0, 0.13, '西藏自治区']]]
    '''
    min_data, max_data = (minNum, maxNum)
    data_mark: List = []
    i = 0
    for x in time_list:
        if x == year:
            data_mark.append(total_num[i])
        else:
            data_mark.append("")
        i = i + 1
    # print("data_mark-->",data_mark)
    # data_mark--> [63.4, '', '', '', '', ''] #当输入的年份为2013时
    map_chart = get_year_chart_map(year=year,map_data=map_data,min_data=min_data,max_data=max_data)
    line = get_year_chart_line(year=year,map_data=map_data,min_data=min_data,max_data=max_data,data_mark=data_mark)
    bar = get_year_chart_bar(year=year,map_data=map_data,min_data=min_data,max_data=max_data)
    pie = get_year_chart_pie(year=year,map_data=map_data,min_data=min_data,max_data=max_data)
    grid_chart = (
        Grid()
        .add(
            bar,
            grid_opts=opts.GridOpts(
                pos_left="10", pos_right="45%", pos_top="50%", pos_bottom="5"
            ),
        )
        .add(
            line,
            grid_opts=opts.GridOpts(
                pos_left="65%", pos_right="80", pos_top="10%", pos_bottom="50%"
            ),
        )
        .add(pie, grid_opts=opts.GridOpts(pos_left="45%", pos_top="60%"))
        .add(map_chart, grid_opts=opts.GridOpts())
    )
    return grid_chart
if __name__ == "__main__":
    timeline = Timeline(
        init_opts=opts.InitOpts(width="1600px", height="900px", theme=ThemeType.DARK)
    )
    for y in time_list:
        g = get_year_chart(year=y,data=data)
        timeline.add(g, time_point=str(y))
    timeline.add_schema(
        orient="vertical",
        is_auto_play=True,
        is_inverse=True,
        play_interval=5000,
        pos_left="null",
        pos_right="5",
        pos_top="20",
        pos_bottom="20",
        width="60",
        label_opts=opts.LabelOpts(is_show=True, color="#fff"),
    )
#     timeline.render_notebook()
    timeline.render("china_gdp_from_201313_to_2018.html")