File size: 3,498 Bytes
361a989 | 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 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 | from pathlib import Path
#import pandas as pd
import faicons as fa
from shiny import ui
from shared import app_dir
import matplotlib.pyplot as plt
import numpy as np
#app_dir = Path(__file__).parent
#tips = pd.read_csv(app_dir / "tips.csv")
def create_nav_button(button_icon, button_label_text, button_link, button_cls = "btn btn-primary"):
return ui.tags.a(
ui.HTML(f"{fa.icon_svg(button_icon)} {button_label_text}"),
href=button_link,
class_=button_cls
)
def conlogo():
img = {
"src": app_dir / "images" / "logo.png",
"style": "width: 80%; height: auto; max-height: 150px; margin-bottom: 0px;"
}
return img
def vendorlogo():
img = {
"src": app_dir / "images" / "logo2.png",
"style": "width: 80%; height: auto; max-height: 150px; margin-bottom: 0px;"
}
return img
def create_bar_chart(categories, values, plottitle = "Bar Chart Example"):
fig, ax = plt.subplots()
#ax.bar(categories, values, color=["#1f77b4", "#ff7f0e", "#2ca02c"])
ax.bar(categories, values)
ax.set_title(plottitle)
ax.set_ylabel("Values")
ax.set_xlabel("Categories")
return fig
def create_pie_chart(labels, sizes, plottitle):
#sizes = [22, 41, 37]
#colors = ["#00b3b3", "#70d281", "#ff7f0e"]
#explode = (0.1, 0, 0) # Explode the first slice for emphasis
fig, ax = plt.subplots()
wedges, texts, autotexts = ax.pie(
sizes,
#explode=explode,
labels=labels,
autopct="%1.0f%%",
startangle=90,
#colors=colors,
textprops=dict(color="black"),
wedgeprops=dict(width=0.4) # Adjust width for the donut effect
)
# Customizing the labels
for text, label in zip(autotexts, labels):
text.set_color("black")
text.set_fontsize(12)
#ax.set_title("What Types of Trips are Occuring within Napa County on a Weekday?", fontsize=16, fontweight="bold")
ax.set_title(plottitle, fontsize=16, fontweight="bold")
return fig
def create_stacked_bar_chart(categories, intra_napa, into_napa, out_napa):
# 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]
bar_width = 0.5 # Width of the bars
x = np.arange(len(categories)) # x-axis positions
fig, ax = plt.subplots(figsize=(8, 6))
# Stacking the bars
ax.bar(x, intra_napa, bar_width, label="Intra-Napa County", color="#70d281")
ax.bar(x, into_napa, bar_width, bottom=intra_napa, label="Into Napa County", color="#ff7f0e")
ax.bar(x, out_napa, bar_width, bottom=np.array(intra_napa) + np.array(into_napa), label="Out of Napa County", color="#00b3b3")
# Customizing the plot
ax.set_xticks(x)
ax.set_xticklabels(categories)
ax.set_ylabel("Trips")
ax.set_title("Weekday Work Trip Types")
ax.legend(loc="upper right")
# Add value annotations
for i in range(len(categories)):
ax.text(x[i], intra_napa[i] / 2, f"{intra_napa[i]}", ha="center", va="center", color="white")
ax.text(x[i], intra_napa[i] + into_napa[i] / 2, f"{into_napa[i]}", ha="center", va="center", color="white")
ax.text(x[i], intra_napa[i] + into_napa[i] + out_napa[i] / 2, f"{out_napa[i]}", ha="center", va="center", color="white")
plt.tight_layout()
return fig
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