在Plotly子图中使用Folium Map创建仪表板

发布于 2025-01-27 20:34:59 字数 293 浏览 6 评论 0 原文

我有一个覆盖几座建筑物的计划区。我想使用 gdf.explore（）方法在子图中映射计划和建筑物，该方法创建了folium映射对象，然后使用绘图绘制建筑物年度直方图的图表。然后将这两个图并排放置。

我找不到在绘图子图中添加Folium Map对象的方法。

这是我在代码中需要的内容：

m = gdf.explore()
p = px.histogram()


# CODE THAT PUTS m AND p IN ONE GRAPH!

预先感谢您！

原文

I have a plan area that covers several buildings. I want to map the plan and the building in a subplot using gdf.explore() method that creates a folium map object, and then use plotly to map a graph of building years histogram. Then put these two plots side by side.

I could not find a way to add folium map object in plotly subplots.

Here is what I need in code:

m = gdf.explore()
p = px.histogram()


# CODE THAT PUTS m AND p IN ONE GRAPH!

Thank you in advance!

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神也荒唐 2025-02-03 20:34:59

您的问题不包含样本几何或数据框架。与
根据注释 plotly 和 folium 是非常不同的库，而没有
html 强>。已经使用 data Uri 编码 plotly 和 folium 组件中的

import shapely.geometry
import numpy as np
import geopandas as gpd
import pandas as pd
import plotly.express as px
from IPython.display import IFrame
from datauri import DataURI
from pathlib import Path

# create a folium map
m = gpd.GeoDataFrame(
    geometry=[
        shapely.geometry.MultiPoint(
            np.random.uniform(b, b + 1, size=(5, 2))
        ).convex_hull
        for b in range(4)
    ],
    data={"building": [f"building {b}" for b in range(4)]},
).explore(column="building")

# create a histogram
fig = px.histogram(
    pd.DataFrame(
        np.random.randint(1980, 2022, size=(100, 4)),
        columns=[f"b {b}" for b in range(4)],
    )
    .stack()
    .reset_index()
    .rename(columns={0: "year", "level_1": "b"}),
    x="year",
    color="b",
).update_layout(margin={"l": 0, "r": 0, "t": 0, "b": 0})

html = f"""<html>
<body>
    <div style="display:inline-block;width:1200">
        <iframe src='{DataURI.make("text/html", charset="us-ascii", base64=True, data=m._parent.render())}' 
            width="49%", align="left"></iframe>
        <iframe src='{DataURI.make("text/html", charset="us-ascii", base64=True, data=fig.to_html(include_plotlyjs="cdn"))}'
            width="49%", align="right"></iframe>
    </div>
</body>
</html>"""

# as a HTML file
with open(Path.cwd().joinpath("sample.html"), "w") as f:
    f.write(html)

# as jupyter output
IFrame(
    DataURI.make("text/html", charset="utf-8", base64=True, data=html),
    height=900,
    width=1200,
)

方法“ https://i.sstatic.net/pyqcj.png” rel =“ nofollow noreferrer”>

your question does not contain sample geometry or dataframe. Have synthesized some
as per comments plotly and folium are very different libraries with no integration
clearly with HTML you can integrate using IFrame. Have taken approach of using data URI to encode plotly and folium components into a single HTML document

import shapely.geometry
import numpy as np
import geopandas as gpd
import pandas as pd
import plotly.express as px
from IPython.display import IFrame
from datauri import DataURI
from pathlib import Path

# create a folium map
m = gpd.GeoDataFrame(
    geometry=[
        shapely.geometry.MultiPoint(
            np.random.uniform(b, b + 1, size=(5, 2))
        ).convex_hull
        for b in range(4)
    ],
    data={"building": [f"building {b}" for b in range(4)]},
).explore(column="building")

# create a histogram
fig = px.histogram(
    pd.DataFrame(
        np.random.randint(1980, 2022, size=(100, 4)),
        columns=[f"b {b}" for b in range(4)],
    )
    .stack()
    .reset_index()
    .rename(columns={0: "year", "level_1": "b"}),
    x="year",
    color="b",
).update_layout(margin={"l": 0, "r": 0, "t": 0, "b": 0})

html = f"""<html>
<body>
    <div style="display:inline-block;width:1200">
        <iframe src='{DataURI.make("text/html", charset="us-ascii", base64=True, data=m._parent.render())}' 
            width="49%", align="left"></iframe>
        <iframe src='{DataURI.make("text/html", charset="us-ascii", base64=True, data=fig.to_html(include_plotlyjs="cdn"))}'
            width="49%", align="right"></iframe>
    </div>
</body>
</html>"""

# as a HTML file
with open(Path.cwd().joinpath("sample.html"), "w") as f:
    f.write(html)

# as jupyter output
IFrame(
    DataURI.make("text/html", charset="utf-8", base64=True, data=html),
    height=900,
    width=1200,
)