pyl7vp 0.0.1

Python3 binding for @AntV/L7VP geospatial visual analysis tool.

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PyL7VP

🌍 Python3 binding for @AntV/L7VP geospatial visual analysis tool.

Installation

$ pip install pyl7vp

Usage

Jupyter Notebook and JupyterLab

from pyl7vp import L7VP

l7vp_map = L7VP(height = 600, datasets=[], config=None)

# Add dataset to map
l7vp_map.add_dataset({"id": "my_dataset", "type": 'local', "data": []})

# Set config
l7vp_map.set_config({
  "map": {
    "type": "Gaode",
    "config": {
            "zoom": 3,
            "center": [120.153576, 30.287459],
            "style": 'dark',
        },
  },
})

# print datasets and config
l7vp_map.datasets
l7vp_map.config

# Display map
l7vp_map.show()

Save to HTML File

from pyl7vp import L7VP

l7vp_map = L7VP(height = 600)

l7vp_map.set_config({
  "map": {
    "type": "Gaode",
    "config": {
            "zoom": 3,
            "center": [120.153576, 30.287459],
            "style": 'dark',
        },
  },
})

# save to html file
l7vp_map.save_to_html("map.html")

Examples

• Online in Google Colab.

API

L7VP

L7VP(height: int = 600, datasets: list = [], config: dict = None): return an instance.

• add_dataset(dataset: dict): add an dataset to map.

• set_config(config: dict): set the config into instance.

• show(read_only: bool = False): show map on Jupyter Notebook or JupyterLab preview.

• save_to_html(file_name: str = "map.html", read_only: bool = False,): save to html file.

Local Development

Install Jupyter

# Using pip
pip install jupyter

# or Using conda
# conda install jupyter

Clone code

git clone https://github.com/antvis/L7VP.git

Setup jupyter

Install python module

cd bindings/pyl7vp

# dev install from folder containing setup.py
pip install -e .

Start jupyter notebook

cd notebooks
jupyter notebook

Release a new version

Update version in bindings/pyl7vp/pyl7vp/meta.py

__version__ = "0.0.1"

Build and publish

python setup.py upload

License

Apache-2.0