📜  folium - Shell-Bash (1)

📅  最后修改于: 2023-12-03 15:15:09.516000             🧑  作者: Mango

Folium - Shell-Bash

Folium is a Python library used for visualizing geospatial data. Shell-Bash, on the other hand, is a command-line interface for interacting with the computer's operating system. Combining the two, we can create powerful scripts for visualizing and analyzing geospatial data.

Installation

To use Folium and Shell-Bash together, first install Folium using pip:

pip install folium
Getting Started

To get started, create a new file with a .sh extension. In this file, import Folium and use it to create a map:

#!/bin/sh

# Import Folium
echo "import folium" > map.py

# Create a map
echo "map = folium.Map(location=[45.5236, -122.6750], zoom_start=13)" >> map.py

This script will create a Python file map.py that contains the code for creating a map centered on Portland, Oregon.

To run this script, simply execute the shell script:

sh your_script.sh
Adding Markers

Folium allows you to add markers to your map to represent specific locations. To add a marker to the map, create a new Python function that adds a marker using Folium:

#!/bin/sh

# Create the map
echo "import folium" > map.py
echo "map = folium.Map(location=[45.5236, -122.6750], zoom_start=13)" >> map.py

# Add a marker
echo "def add_marker(latitude, longitude):" >> map.py
echo "    folium.Marker([latitude, longitude]).add_to(map)" >> map.py

# Add some markers
echo "add_marker(45.5236, -122.6750)" >> map.py
echo "add_marker(45.5235, -122.6760)" >> map.py
echo "add_marker(45.5234, -122.6770)" >> map.py

This script will add three markers to the map at the specified latitude and longitude. To run the script, execute the shell script as before:

sh your_script.sh
Conclusion

Folium and Shell-Bash can be used together to create powerful scripts for visualizing and analyzing geospatial data. By importing Folium in Shell-Bash scripts, we can create interactive maps and add markers to represent specific locations. This makes it easier to analyze and understand complex geospatial data.