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#
# What are the most common ticket violation?
#
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np
import utils
data = utils.data
#data.info()
# Drop 2020
covid = data[data["Issued"].dt.year == 2020]
bvio = data.drop(covid.index)
# group tickets by violation & year
bvio = bvio.groupby([
pd.Grouper(key="Violation Desc Long"),
bvio["Issued"].dt.year
])["Ticket Number"].count().reset_index()
# calculate average number of tickets each violation
# averages per year and add the values to the dataframe
bvio = bvio.merge(
bvio.groupby(pd.Grouper("Violation Desc Long"))["Ticket Number"].mean(),
on="Violation Desc Long")
bvio.rename(columns={
"Ticket Number_x": "Tickets",
"Ticket Number_y": "Average",
}, inplace=True)
bvio.sort_values("Average", ascending=True, inplace=True)
fig, ax = plt.subplots(figsize=(4, 10))
ax.scatter(y=bvio["Violation Desc Long"],
x=bvio["Tickets"], color="black", alpha=0.2)
# flip chart on vertical axis
ax.invert_xaxis()
ax.yaxis.set_label_position("right")
ax.yaxis.tick_right()
ax.xaxis.tick_top()
ax.set(
title="Tickets by Violation")
plt.box(False)
plt.grid(True, which='major', axis='x', color="black")
plt.tight_layout()
plt.savefig(
utils.FIG_DIR / "tickets-by-violation.svg",
transparent=True)
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