MIT License

项目介绍

chrieke/prettymapp 是一个托管在 GitHub 上的开源项目,主要使用 Python 编写,采用 MIT License 许可证,目前获得 2.8k 个 Star、451 次 Fork。

仓库全名
chrieke/prettymapp
开源许可证
MIT License
Star 数
2.8k
Fork 数
451
未关闭 Issue
3

README 摘要

prettymapp 🖼️ Prettymapp is a webapp and Python package to create beautiful maps from OpenStreetMap data 🎈 Try it out here: prettymapp on streamlit 🎈 Based on the prettymaps project Prettymapp is based on a rewrite of the fantastic prettymaps project by @marceloprates. All credit for the original idea, designs and implementation go to him. The prettymapp rewrite focuses on speed and adapted configuration to…

完整内容见 GitHub 原始 README 或本页 。

常见问题

prettymapp 用什么语言开发?

主要使用 Python 编写,采用 MIT License 许可证,目前有 2.8k 个 Star。

prettymapp 可以免费商用吗?

仓库采用 MIT License 许可证,可免费使用与修改,商业使用请遵守许可证条款(例如保留版权声明与许可声明)。

如何获取 prettymapp 的源码?

可以直接克隆仓库:git clone https://github.com/chrieke/prettymapp.git,默认分支为 main;安装与运行步骤见仓库 README。

prettymapp 最近还在维护吗?

仓库最近一次更新为 7月8日,当前有 3 个未关闭 Issue;Star 数为 2.8k,可作为社区活跃度的参考。

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热度分
3748
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活跃状态
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Dockerfile
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Release

README

prettymapp 🖼️

Prettymapp is a webapp and Python package to create beautiful maps from OpenStreetMap data


🎈 Try it out here: prettymapp on streamlit 🎈



Based on the prettymaps project

Prettymapp is based on a rewrite of the fantastic prettymaps project by @marceloprates. All credit for the original idea, designs and implementation go to him. The prettymapp rewrite focuses on speed and adapted configuration to interface with the webapp. It drops more complex configuration options in favour of improved speed, reduced code complexity and simplified configuration interfaces. It is partially tested and adds a streamlit webapp component.

Running the app locally

You can use the webapp directly under prettymapp.streamlit.app or run it locally via:

git clone https://github.com/chrieke/prettymapp.git
cd prettymapp
uv sync --extra streamlit
uv run streamlit run streamlit-prettymapp/app.py

Python package

You can also use prettymapp without the webapp, directly in Python. This lets you customize the functionality or build your own application.

Installation:

pip install prettymapp

Define the area, download and plot the OSM data:

You can select from 4 predefined styles: Peach, Auburn, Citrus and Flannel.

from prettymapp.geo import get_aoi
from prettymapp.osm import get_osm_geometries
from prettymapp.plotting import Plot
from prettymapp.settings import STYLES

aoi = get_aoi(address="Praça Ferreira do Amaral, Macau", radius=1100, rectangular=False)
df = get_osm_geometries(aoi=aoi)

fig = Plot(
    df=df,
    aoi_bounds=aoi.bounds,
    draw_settings=STYLES["Peach"],
).plot_all()

fig.savefig("map.jpg")

You can also plot exported OSM XML files e.g. from openstreetmap.org:

from prettymapp.osm import get_osm_geometries_from_xml

df = get_osm_geometries_from_xml(filepath="Berlin.osm")
aoi_bounds = df.total_bounds
...

Customize styles & layers

Edit the draw_settings input to create your own custom styles! The map layout can be further customized with the additional arguments of the Plot class (e.g. shape, contour_width etc.). Check the webapp examples for inspiration.

from prettymapp.settings import STYLES

custom_style = STYLES["Peach"].copy()
custom_style["urban"] = {
    "cmap": ["#3452eb"],
    "ec": "#E9724C",
    "lw": 0.2,
    "zorder": 4,
}

fig = Plot(
    df=df,
    aoi_bounds=aoi.bounds,
    draw_settings=custom_style,
    shape="circle",
    contour_width=0,
).plot_all()

You can also customize the selection of OSM landcover classes that should be displayed! Customize the default settings or create your own dictionary! See settings.py for the defaults.

from prettymapp.settings import LANDCOVER_CLASSES

custom_lc_classes = LANDCOVER_CLASSES.copy()
custom_lc_classes["urban"] = {"building": False} # drops all building subclasses
custom_lc_classes["grassland"] = {
    "leisure": True,  # Include all leisure subclasses
    "natural": ["island"],  # Selects only specific natural subclasses
}

df = get_osm_geometries(aoi=aoi, landcover_classes=custom_lc_classes)

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