The official Python client for the Felt API

felt-python is a Python client for the Felt API. It provides convenient wrappers for common operations like creating, deleting and updating maps and data layers.

This client is especially useful at simplifying certain operations like uploading and refreshing files and (Geo)DataFrames or updating layer styles and element properties.

Installation

pip install felt-python

Basic Usage

Authentication

To authenticate with the Felt API, you need to provide your API token. You can either pass it explicitly to function calls or set it in the FELT_API_TOKEN environment variable. Use the Felt dashboard to create a new token.

import os

os.environ["FELT_API_TOKEN"] = "YOUR_API_TOKEN"

Create a map

from felt_python import create_map

response = create_map(
    title="My new map",
    lat=40,
    lon=-3,
    public_access="private",
)
map_id = response["id"]

Upload anything

from felt_python import upload_file

upload = upload_file(
    map_id=map_id,
    file_name="path/to/file.csv",
    layer_name="My new layer",
)
layer_id = upload["layer_id"]

Uploading a Pandas DataFrame

import pandas as pd
from felt_python import upload_dataframe

df = pd.read_csv("path/to/file.csv")
upload_dataframe(
    map_id=map_id,
    dataframe=df,
    layer_name="Felt <3 Pandas",
)

Uploading a GeoPandas GeoDataFrame

import geopandas as gpd
from felt_python import upload_geodataframe

gdf = gpd.read_file("path/to/file.shp")
upload_geodataframe(
    map_id=map_id,
    geodataframe=gdf,
    layer_name="Felt <3 GeoPandas",
)

Refreshing a layer

from felt_python import refresh_file_layer

refresh_file_layer(
    map_id=map_id,
    layer_id=layer_id,
    file_path="path/to/new_file.csv",
)

Styling a layer

from felt_python import get_layer, update_layer_style

current_style = get_layer(
    map_id=map_id,
    layer_id=layer_id,
)["style"]
new_style = current_style.copy()
new_style["color"] = "#FF0000"
new_style["size"] = 20
update_layer_style(
    map_id=map_id,
    layer_id=layer_id,
    style=new_style,
)

Notebooks

Check out our Juypter notebooks for a complete set of examples.

Documentation

Visit the API Reference section of our Developer docs for complete documentation of all endpoints in the REST API.

Support

We are always eager to hear from you. Reach out to support@felt.com for all your Felt support needs.