Python 在世界地图上加气泡图

V1

import plotly.express as px
import pandas as pd

# 数据准备
data = {
    "Country": ["Australia", "USA", "Germany", "South Korea", "New Zealand",
                "China", "Japan", "Denmark", "Canada", "UK", "Italy",
                "Singapore", "Netherlands", "Switzerland", "France", "Austria",
                "South Africa", "Poland", "Portugal", "Sweden", "Croatia", "Greece"],
    "Value": [20, 19, 17, 16, 8, 6, 6, 5, 5, 4, 3, 2, 2, 2, 2, 1, 1, 1, 1, 1, 1, 1]
}

df = pd.DataFrame(data)

# 创建气泡地图
fig = px.scatter_geo(df,
                     locations="Country",
                     locationmode="country names",
                     color="Value",
                     size="Value",
                     hover_name="Country",
                     projection="natural earth",
                     color_continuous_scale=px.colors.sequential.Plasma,
                     title="World Map with Value-based Bubbles",
                     size_max=30)

# 自定义布局
fig.update_geos(showcountries=True, showcoastlines=True, showland=True,
                landcolor="lightgray", countrycolor="white")
fig.update_layout(margin={"r":0,"t":40,"l":0,"b":0})

fig.show()

V2  标注国家及数理

import plotly.express as px
import pandas as pd

# 数据准备
data = {
    "Country": ["Australia", "USA", "Germany", "South Korea", "New Zealand",
                "China", "Japan", "Denmark", "Canada", "UK", "Italy",
                "Singapore", "Netherlands", "Switzerland", "France", "Austria",
                "South Africa", "Poland", "Portugal", "Sweden", "Croatia", "Greece"],
    "Value": [20, 19, 17, 16, 8, 6, 6, 5, 5, 4, 3, 2, 2, 2, 2, 1, 1, 1, 1, 1, 1, 1]
}

df = pd.DataFrame(data)
df["Label"] = df["Country"] + " (" + df["Value"].astype(str) + ")"  # 创建标注文本

# 创建气泡地图
fig = px.scatter_geo(df,
                     locations="Country",
                     locationmode="country names",
                     color="Value",
                     size="Value",
                     hover_name="Country",
                     text="Label",  # 添加文本标注
                     projection="natural earth",
                     color_continuous_scale=px.colors.diverging.Tealrose,
                     title="World Value Distribution with Annotations",
                     size_max=25)

# 自定义样式
fig.update_traces(
    textposition="top center",  # 文本位置
    textfont=dict(
        family="Arial",
        size=12,
        color="black"
    ),
    marker=dict(
        line=dict(width=0.5, color="gray"),  # 气泡边框
        opacity=0.8
    )
)

# 优化地理特征
fig.update_geos(
    showcountries=True,
    countrycolor="lightgray",
    showcoastlines=False,
    showland=True,
    landcolor="white",
    showocean=True,
    oceancolor="azure"
)

# 调整布局
fig.update_layout(
    margin={"r":20,"t":50,"l":20,"b":20},
    coloraxis_colorbar=dict(
        title="Value Scale",
        thickness=20,
        len=0.75
    ),
    hoverlabel=dict(
        bgcolor="white",
        font_size=14
    )
)

fig.show()

V3 标尺字体大小修改

import plotly.express as px
import pandas as pd

# 数据准备
data = {
    "Country": ["Australia", "USA", "Germany", "South Korea", "New Zealand",
                "China", "Japan", "Denmark", "Canada", "UK", "Italy",
                "Singapore", "Netherlands", "Switzerland", "France", "Austria",
                "South Africa", "Poland", "Portugal", "Sweden", "Croatia", "Greece"],
    "Value": [20, 19, 17, 16, 8, 6, 6, 5, 5, 4, 3, 2, 2, 2, 2, 1, 1, 1, 1, 1, 1, 1]
}


df = pd.DataFrame(data)
df["Label"] = df["Country"] + " (" + df["Value"].astype(str) + ")"  # 创建标注文本

# 创建气泡地图
fig = px.scatter_geo(df,
                     locations="Country",
                     locationmode="country names",
                     color="Value",
                     size="Value",
                     hover_name="Country",
                     text="Label",
                     projection="natural earth",
                     color_continuous_scale=px.colors.diverging.Tealrose,
                     title="World Value Distribution with Annotations",
                     size_max=50)

# 自定义样式
fig.update_traces(
    textposition="top center",
    textfont=dict(
        family="Arial",
        size=22,
        color="black"
    ),
    marker=dict(
        line=dict(width=0.5, color="gray"),
        opacity=0.8
    )
)

# 优化地理特征
fig.update_geos(
    showcountries=True,
    countrycolor="lightgray",
    showcoastlines=False,
    showland=True,
    landcolor="white",
    showocean=True,
    oceancolor="azure"
)

# 调整布局（重点修改部分）
fig.update_layout(
    margin={"r": 20, "t": 50, "l": 20, "b": 20},
    coloraxis_colorbar=dict(
        title="Value",
        thickness=30,
        len=0.65,
        # 新增字体设置
        tickfont=dict(    # 刻度数字字体
            size=25,      # 从默认12放大到14
            family="Arial"
        )
    ),
    hoverlabel=dict(
        bgcolor="white",
        font_size=30
    )
)

fig.show()