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
"""
Gallery 使用 pyecharts 1.0.0
参考地址: https://gallery.echartsjs.com/editor.html?c=xSkGI6zLmb
目前无法实现的功能:
1、
"""
data = [
{
"time": 1980,
"data": [
{"name": "台湾省", "value": [633.76, 12.28, "台湾省"]},
{"name": "香港特别行政区", "value": [432.47, 8.38, "香港特别行政区"]},
{"name": "江苏省", "value": [319.8, 6.2, "江苏省"]},
{"name": "上海市", "value": [311.89, 6.05, "上海市"]},
{"name": "山东省", "value": [292.13, 5.66, "山东省"]},
{"name": "辽宁省", "value": [281, 5.45, "辽宁省"]},
{"name": "广东省", "value": [249.65, 4.84, "广东省"]},
{"name": "四川省", "value": [229.31, 4.44, "四川省"]},
{"name": "河南省", "value": [229.16, 4.44, "河南省"]},
{"name": "黑龙江省", "value": [221, 4.28, "黑龙江省"]},
],
},
{
"time": 2000,
"data": [
{"name": "台湾省", "value": [27435.15, 19.47, "台湾省"]},
{"name": "香港特别行政区", "value": [14201.59, 10.08, "香港特别行政区"]},
{"name": "广东省", "value": [10741.25, 7.62, "广东省"]},
{"name": "江苏省", "value": [8553.69, 6.07, "江苏省"]},
{"name": "山东省", "value": [8337.47, 5.92, "山东省"]},
{"name": "浙江省", "value": [6141.03, 4.36, "浙江省"]},
{"name": "河南省", "value": [5052.99, 3.59, "河南省"]},
{"name": "河北省", "value": [5043.96, 3.58, "河北省"]},
{"name": "上海市", "value": [4771.17, 3.39, "上海市"]},
{"name": "辽宁省", "value": [4669.1, 3.31, "辽宁省"]},
],
},
{
"time": 2005,
"data": [
{"name": "台湾省", "value": [30792.89, 12.52, "台湾省"]},
{"name": "广东省", "value": [22527.37, 9.16, "广东省"]},
{"name": "江苏省", "value": [18598.69, 7.56, "江苏省"]},
{"name": "山东省", "value": [18366.87, 7.47, "山东省"]},
{"name": "香港特别行政区", "value": [14869.68, 6.05, "香港特别行政区"]},
{"name": "浙江省", "value": [13417.68, 5.46, "浙江省"]},
{"name": "河南省", "value": [10587.42, 4.3, "河南省"]},
{"name": "河北省", "value": [10043.42, 4.08, "河北省"]},
{"name": "上海市", "value": [9247.66, 3.76, "上海市"]},
{"name": "辽宁省", "value": [8047.3, 3.27, "辽宁省"]},
],
},
{
"time": 2010,
"data": [
{"name": "广东省", "value": [46036.25, 9.49, "广东省"]},
{"name": "江苏省", "value": [41425.48, 8.54, "江苏省"]},
{"name": "山东省", "value": [39169.92, 8.08, "山东省"]},
{"name": "台湾省", "value": [30205.64, 6.23, "台湾省"]},
{"name": "浙江省", "value": [27747.65, 5.72, "浙江省"]},
{"name": "河南省", "value": [23092.36, 4.76, "河南省"]},
{"name": "河北省", "value": [20394.26, 4.21, "河北省"]},
{"name": "辽宁省", "value": [18457.3, 3.81, "辽宁省"]},
{"name": "四川省", "value": [17185.48, 3.54, "四川省"]},
{"name": "上海市", "value": [17165.98, 3.54, "上海市"]},
],
},
{
"time": 2015,
"data": [
{"name": "广东省", "value": [72812.55, 9.35, "广东省"]},
{"name": "江苏省", "value": [70116.38, 9, "江苏省"]},
{"name": "山东省", "value": [63002.3, 8.09, "山东省"]},
{"name": "浙江省", "value": [42886, 5.51, "浙江省"]},
{"name": "河南省", "value": [37010.25, 4.75, "河南省"]},
{"name": "台湾省", "value": [32604.52, 4.19, "台湾省"]},
{"name": "四川省", "value": [30103.1, 3.87, "四川省"]},
{"name": "河北省", "value": [29806.1, 3.83, "河北省"]},
{"name": "湖北省", "value": [29550.19, 3.8, "湖北省"]},
{"name": "湖南省", "value": [29047.2, 3.73, "湖南省"]},
],
},
]
def get_year_chart(year: int):
map_data = [
[[x["name"], x["value"]] for x in d["data"]] for d in data if d["time"] == year
][0]
min_data, max_data = (
min([d[1][0] for d in map_data]),
max([d[1][0] for d in map_data]),
)
map_chart = (
Map()
.add(
series_name="",
data_pair=map_data,
label_opts=opts.LabelOpts(is_show=False),
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="1980年以来中国各省GDP排名变化情况",
subtitle="GDP单位:亿元",
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="10",
pos_top="center",
range_text=["High", "Low"],
range_color=["lightskyblue", "yellow", "orangered"],
textstyle_opts=opts.TextStyleOpts(color="#ddd"),
min_=min_data,
max_=max_data,
),
)
)
bar_x_data = [x[0] for x in map_data]
# 这里注释的部分会导致 label 和 value 与 饼图不一致
# 使用下面的 List[Dict] 就可以解决这个问题了。
# bar_y_data = [x[1][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="",
yaxis_index=1,
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(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="center",
range_text=["High", "Low"],
range_color=["lightskyblue", "yellow", "orangered"],
textstyle_opts=opts.TextStyleOpts(color="#ddd"),
min_=min_data,
max_=max_data,
),
graphic_opts=[
opts.GraphicGroup(
graphic_item=opts.GraphicItem(
rotation=JsCode("Math.PI / 4"),
bounding="raw",
right=110,
bottom=110,
z=100,
),
children=[
opts.GraphicRect(
graphic_item=opts.GraphicItem(
left="center", top="center", z=100
),
graphic_shape_opts=opts.GraphicShapeOpts(
width=400, height=50
),
graphic_basicstyle_opts=opts.GraphicBasicStyleOpts(
fill="rgba(0,0,0,0.3)"
),
),
opts.GraphicText(
graphic_item=opts.GraphicItem(
left="center", top="center", z=100
),
graphic_textstyle_opts=opts.GraphicTextStyleOpts(
text=f"{str(year)} 年",
font="bold 26px Microsoft YaHei",
graphic_basicstyle_opts=opts.GraphicBasicStyleOpts(
fill="#fff"
),
),
),
],
)
],
)
)
pie_data = [[x[0], x[1][0]] for x in map_data]
percent_sum = sum([x[1][1] for x in map_data])
rest_value = 0
for d in map_data:
rest_percent = 100.0
rest_percent = rest_percent - percent_sum
rest_value = d[1][0] * (rest_percent / d[1][1])
pie_data.append(["其他省份", rest_value])
pie = (
Pie()
.add(
series_name="",
data_pair=pie_data,
radius=["12%", "20%"],
center=["75%", "85%"],
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),
)
)
grid_chart = (
Grid()
.add(
bar,
grid_opts=opts.GridOpts(
pos_left="10", pos_right="45%", pos_top="70%", pos_bottom="5"
),
)
.add(pie, grid_opts=opts.GridOpts())
.add(map_chart, grid_opts=opts.GridOpts())
)
return grid_chart
# Draw Timeline
time_list = [1980, 2000, 2005, 2010, 2015]
timeline = Timeline(
init_opts=opts.InitOpts(width="1200px", height="800px", theme=ThemeType.DARK)
)
for y in time_list:
g = get_year_chart(year=y)
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="50",
label_opts=opts.LabelOpts(is_show=True, color="#fff"),
)
timeline.render("china_gdp_from_1980.html")