deckgl_get_target_color.py

# -*- coding: utf-8 -*-
# Copyright 2018-2019 Streamlit Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#    http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

import copy
from math import sqrt
from urllib.parse import urljoin
import pandas as pd
import streamlit as st

st.title("BART stops vs. bike rentals")

st.write(
    """
    This plot shows two things:
    * Bay Area Rapit Transit (BART) train lines plotted as arcs connecting the
    stations.
    * A 3D hexagonal histogram plot of bike-sharing rentals (origin locations).
"""
)


@st.cache
def from_data_file(filename):
    dirname = "https://raw.githubusercontent.com/streamlit/streamlit/develop/examples/data/"
    url = urljoin(dirname, filename)
    return pd.read_json(url)

# Grab some data
bart_stop_stats = copy.deepcopy(from_data_file("bart_stop_stats.json"))
bart_path_stats = from_data_file("bart_path_stats.json")
bike_rental_stats = from_data_file("bike_rental_stats.json")

custom_colors = bart_path_stats.copy()
custom_colors["red"] = custom_colors["inbound"].apply(lambda x: sqrt(x))
custom_colors["green"] = 140
custom_colors["blue"] = 0
custom_colors["redT"] = custom_colors["outbound"].apply(lambda x: sqrt(x))
custom_colors["greenT"] = 140
custom_colors["blueT"] = 0

# Move bart stop name to the 1st column, so it looks nicer when printed as a
# table.
bart_stop_names = bart_stop_stats["name"]
bart_stop_stats.drop(labels=["name"], axis=1, inplace=True)
bart_stop_stats.insert(0, "name", bart_stop_names)

st.deck_gl_chart(
    viewport={"latitude": 37.76, "longitude": -122.4, "zoom": 11, "pitch": 50},
    layers=[
        {
            # Plot number of bike rentals throughtout the city
            "type": "HexagonLayer",
            "data": bike_rental_stats,
            "radius": 200,
            "elevationScale": 4,
            "elevationRange": [0, 1000],
            "pickable": True,
            "extruded": True,
        },
        {
            # Now plot locations of Bart stops
            # ...and let's size the stops according to traffic
            "type": "ScatterplotLayer",
            "data": bart_stop_stats,
            "radiusScale": 10,
            "getRadius": 50,
        },
        {
            # Now Add names of Bart stops
            "type": "TextLayer",
            "data": bart_stop_stats,
            "getText": "name",
            "getColor": [0, 0, 0, 200],
            "getSize": 15,
        },
        {
            # And draw some arcs connecting the stops
            "type": "ArcLayer",
            "data": custom_colors,
            "pickable": True,
            "autoHighlight": True,
            "getStrokeWidth": 10,
            "getColorR": "red",
            "getColorG": "green",
            "getColorB": "blue",
            "getTargetColorR": "redT",
            "getTargetColorG": "greenT",
            "getTargetColorB": "blueT",
        },
    ],
)