04 pyechars geographic chart (example code + effect diagram)

Catalog

1 GEO- Geographic coordinate system

2 MAP- Map

3 BMAP- Baidu Maps

1 Geo()

2 def add_schema

3 def add()

---

1 GEO- Geographic coordinate system

import random
from pyecharts.charts import Geo
from pyecharts.faker import Faker

province = [
    ' guangdong ',
    ' hubei ',
    ' hunan ',
    ' sichuan ',
    ' Chongqing ',
    ' heilongjiang ',
    ' Zhejiang ',
    ' shanxi ',
    ' hebei ',
    ' anhui ',
    ' Henan ',
    ' Shandong ',
    ' Tibet ']
data = [(i, random.randint(10, 100)) for i in province]
geo = (
    Geo()
    .add_schema(maptype="china")
    .add("geo", [list(z) for z in zip(Faker.provinces, Faker.values())])
    # .add("", data)
)
print([list(z) for z in zip(Faker.provinces, Faker.values())])
geo.render("geo.html")

2 MAP- Map

import random
from pyecharts.charts import Map

province = [
    ' guangdong ',
    ' hubei ',
    ' hunan ',
    ' sichuan ',
    ' Chongqing ',
    ' heilongjiang ',
    ' Zhejiang ',
    ' shanxi ',
    ' hebei ',
    ' anhui ',
    ' Henan ',
    ' Shandong ',
    ' Tibet ']
data = [(i, random.randint(10, 100)) for i in province]
map_ = (
    Map()
    .add("", data, 'china')
)
map_.render("map.html")

3 BMAP- Baidu Maps

import random
from pyecharts.charts import BMap

province = [
    ' guangdong ',
    ' hubei ',
    ' hunan ',
    ' sichuan ',
    ' Chongqing ',
    ' heilongjiang ',
    ' Zhejiang ',
    ' shanxi ',
    ' hebei ',
    ' anhui ',
    ' Henan ',
    ' Shandong ',
    ' Tibet ']
data = [(i, random.randint(50, 150)) for i in province]

bmap = (
    BMap()
    .add_schema(baidu_ak=" Enter your Baidu AK", center=[120.13066322374, 30.240018034923])
    .add("", data)
)
bmap.render("bmap.html")

1 Geo()

class Geo(
    #  Initialize configuration items , Reference resources  `global_options.InitOpts`
    init_opts: opts.InitOpts = opts.InitOpts()

    #  Whether to ignore nonexistent coordinates , The default value is  False, That is not to ignore
    is_ignore_nonexistent_coord: bool = False
)

2 def add_schema

def add_schema(
    #  Map type , Specific reference  pyecharts.datasets.map_filenames.json  file
    maptype: str = "china",

    #  Whether to turn on mouse zoom and pan roaming .
    is_roam: bool = True,

    #  The zoom of the current view . The default is  1
    zoom: Optional[Numeric] = None,

    #  The center of the current perspective , Expressed in latitude and longitude . for example ：center: [115.97, 29.71]
    center: Optional[Sequence] = None,

    #  Parameters are used for  scale  The aspect ratio of the map .
    aspect_scale: types.Numeric = 0.75,

    #  Two dimensional array , Define the longitude and latitude corresponding to the upper left corner and the lower right corner of the positioning .
    bounding_coords: types.Optional[types.Sequence[types.Numeric]] = None,

    #  Minimum zoom value .
    min_scale_limit: types.Optional[types.Numeric] = None,

    #  Maximum zoom value .
    max_scale_limit: types.Optional[types.Numeric] = None,

    #  The default is  'name', in the light of  GeoJSON  Custom attribute name of the feature , As a primary key, it is used to associate data points and  GeoJSON  Geographical elements .
    name_property: str = "name",

    #  Selected mode , Indicates whether multiple selections are supported , Off by default , Boolean and string support .
    #  String values are optional 'single' According to the radio , perhaps 'multiple' Multiple choice .
    selected_mode: types.Union[bool, str] = False,

    # pyecharts  Not available for the time being  left/top/right/bottom  Configuration of
    # layoutCenter  and  layoutSize  Provided in addition to  left/right/top/bottom/width/height  Outside the layout means .
    #  In the use of  left/right/top/bottom/width/height  When
    #  It may be difficult to keep the map box wider than the middle of the map , And ensure that it does not exceed the range of box shape .
    #  At this time, you can use the  layoutCenter  Property defines the location of the map center on the screen ,layoutSize  Define the size of the map .
    #  The following example
    # layoutCenter: ['30%', '30%'],
    # //  If the aspect ratio is greater than  1  The width is  100, If it is less than  1  Then the height is  100, Guaranteed not to exceed  100x100  Region
    # layoutSize: 100
    layout_center: types.Optional[types.Sequence[str]] = None,

    #  The size of the map , see  layoutCenter. Support percentage relative to screen width and height or absolute pixel size .
    layout_size: types.Union[str, types.Numeric] = None,

    # #  Tag configuration item , Reference resources  `series_options.LabelOpts`
    label_opts: Union[opts.LabelOpts, dict, None] = None,

    #  Polygons in the map area   Graphic style .
    itemstyle_opts: Union[opts.ItemStyleOpts, dict, None] =None,

    #  Polygon style in highlighted state
    emphasis_itemstyle_opts: Union[opts.ItemStyleOpts, dict,None] = None,

    #  The label style in the highlighted state .
    emphasis_label_opts: Union[opts.LabelOpts, dict, None] =None,
):

3 def add()

def add(
    #  Series name , be used for  tooltip  Display of ,legend  The legend selection of .
    series_name: str,

    #  Data item  ( Coordinate point name , Coordinate point values )
    data_pair: Sequence,

    # Geo  Picture type , Yes  scatter, effectScatter, heatmap, lines 4  Kind of , It is recommended to use
    # from pyecharts.globals import GeoType
    # GeoType.GeoType.EFFECT_SCATTER,GeoType.HEATMAP,GeoType.LINES
    type_: str = "scatter",

    #  Check legend
    is_selected: bool = True,

    #  Mark graphic shapes
    symbol: Optional[str] = None,

    #  The size of the mark
    symbol_size: Numeric = 12,

    #  The size of each point , In the geographical coordinate system (coordinateSystem: 'geo') On the effective .
    blur_size: types.Numeric = 20,

    #  The size of each point blur , In the geographical coordinate system (coordinateSystem: 'geo') On the effective .
    point_size: types.Numeric = 20,

    #  series  label  Color
    color: Optional[str] = None,

    #  Whether it is a polyline , Painting  lines  In the case of FIG
    is_polyline: bool = False,

    #  Whether to enable the optimization of large-scale line graph , When there are many data graphs （>=5k） Can be opened
    is_large: bool = False,

    #  The length of the effect's wake . From  0  To  1  Value , The larger the value, the longer the wake . The default value is  0.2
    trail_length: Numeric = 0.2,

    #  Turn on the threshold of drawing optimization .
    large_threshold: Numeric = 2000,

    #  Configure the number of graphics rendered per frame of the series
    progressive: types.Numeric = 400,

    #  Threshold for the number of shapes that enable progressive rendering , Enable progressive rendering when the number of graphics in a single series exceeds this threshold .
    progressive_threshold: types.Numeric = 3000,

    #  Tag configuration item , Reference resources  `series_options.LabelOpts`
    label_opts: Union[opts.LabelOpts, dict] = opts.LabelOpts(),

    #  Ripple effect configuration item , Reference resources  `series_options.EffectOpts`
    effect_opts: Union[opts.EffectOpts, dict] = opts.EffectOpts(),

    #  Line style configuration item , Reference resources  `series_options.LineStyleOpts`
    linestyle_opts: Union[opts.LineStyleOpts, dict] = opts.LineStyleOpts(),

    #  Prompt box component configuration item , Reference resources  `series_options.TooltipOpts`
    tooltip_opts: Union[opts.TooltipOpts, dict, None] = None,

    #  Element style configuration item , Reference resources  `series_options.ItemStyleOpts`
    itemstyle_opts: Union[opts.ItemStyleOpts, dict, None] = None,

    #  This configuration is relatively complex （ Reference address : https://www.echartsjs.com/zh/option.html#series-custom.renderItem）
    render_item: types.JsCode = None,

    #  This configuration is relatively complex （ Reference address : https://www.echartsjs.com/zh/option.html#series-custom.encode）
    encode: types.Union[types.JsCode, dict] = None,
)