File size: 2,000 Bytes
e79ca1c cd9383e e79ca1c cd9383e e79ca1c cd9383e e79ca1c cd9383e e79ca1c cd9383e e79ca1c | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 | # server.py
import matplotlib.pyplot as plt
from shiny import render, ui
import faicons as fa
#from fontawesomefree import icons
import numpy as np
from utils import conlogo, vendorlogo
from utils import create_pie_chart, create_bar_chart, create_bar_chart, create_stacked_bar_chart
def create_server(app_dir):
def server(input, output, session):
@render.image
def rsglogo():
return conlogo()
@render.image
def clientlogo():
return vendorlogo()
@render.plot
def bar_chart():
# Sample data for bar chart
categories = ["Category A", "Category B", "Category C"]
values = [10, 20, 30]
return create_bar_chart(categories, values, plottitle = "Bar Chart Example")
@render.plot
def pie_chart():
# Data for pie chart
labels = ["Home-Based Work", "Home-Based Other", "Non-Home-Based"]
#labels = [f"{icons['fa-car']} Cars", f"{icons['fa-bicycle']} Bikes", f"{icons['fa-bus']} Buses"]
#labels = [f"{fa.icon_svg("briefcase")} Cars", f"{fa.icon_svg("briefcase")} Bikes", f"{fa.icon_svg("briefcase")} Buses"]
sizes = [22, 41, 37]
colors = ["#00b3b3", "#70d281", "#ff7f0e"]
explode = (0.1, 0, 0) # Explode the first slice for emphasis
return create_pie_chart(labels, sizes, plottitle ="What Types of Trips are Occuring within Napa County on a Weekday?")
@render.plot
def stacked_bar_chart():
# Data for the stacked bar chart
categories = ["Early AM", "AM Peak", "Mid-Day", "PM Peak", "Evening"]
intra_napa = [2000, 16000, 14000, 12000, 5000]
into_napa = [1000, 8000, 2000, 3000, 2000]
out_napa = [2000, 4000, 2000, 5000, 1000]
return create_stacked_bar_chart(categories, intra_napa, into_napa, out_napa)
return server
|