lvisei/streamlit-l7vp

Streamlit Component for rendering L7VP maps

streamlit-l7vp

L7VP is an geospatial intelligent visual analysis and application development tools.

This project was created to allow us to render L7VP maps in streamlit.🌍 Live Demo 🌍

Installation

pip install streamlit-l7vp

Usage

import streamlit as st
from pyl7vp import L7VP
from streamlit_l7vp import l7vp_static
import pandas as pd

df = pd.DataFrame(
    {'id': ['a', 'b', 'c'],
     'point_latitude': [31.2384, 31.2311, 31.2334],
     'point_longitude': [108.30948, 108.30231, 108.30238],
     'value': [5, 11, 9],
     'time': ['2019-08-01 12:00:00', '2019-08-01 12:05:00', '2020-08-01 11:55:00']
     })

l7vp_map = L7VP(height = 600)
# Add dataset to map
l7vp_map.add_dataset({"id": "my_dataset", "type": 'local', "data": df})


l7vp_static(l7vp_map)

API

l7vp_static parameters

• fig: pyl7vp.L7VP map figure.
• height: Fixed pixel height of the map. Optional, might result in non-optimal layout on some devices. By default the map height is determined by the l7vp figure height.
• width: Fixed pixel width of the map. Optional, by default the map width adjusts to the streamlit layout.
• read_only: Disables the side panel for map customization, default False.

L7VP API

L7VP API see the pyl7vp docs.

Local Development

Clone code

git clone https://github.com/lvisei/streamlit-l7vp.git

Install python module

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

Release a new version

Update version in setup.py

version="0.0.1"

Build and publish

python setup.py upload

License

Apache-2.0