1 files changed, 45 insertions(+), 0 deletions(-)

A tickets-per-day-of-week.py

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+#
+# How many tickets are issued in Boston per day of week?
+#
+import matplotlib.pyplot as plt
+
+import pandas as pd
+import numpy as np
+import utils
+
+data = utils.data
+#data.info()
+
+# group all tickets by day of week
+bdow = data.groupby(pd.Grouper(key="Issued", freq="D"))["Issued"].count()
+fig, ax = plt.subplots()
+
+# drop 2020 data
+covid = bdow[bdow.index.year == 2020]
+bdow.drop(covid.index, inplace=True)
+
+# plot the median and average tickets issued per day of week
+med = bdow.groupby(bdow.index.dayofweek).median()
+std = bdow.groupby(bdow.index.dayofweek).std()
+
+# add median +- standard deviation
+plt.fill_between(range(7), med-std, med+std, facecolor="white")
+# plt.plot(range(7), med, color="black")
+
+# plot each total for that day (2020 in red)
+plt.scatter(x=covid.index.dayofweek, y=covid, color="tab:red",
+            alpha=0.2, label="2020")
+plt.scatter(x=bdow.index.dayofweek, y=bdow, color="black",
+            alpha=0.2, label="11-19")
+
+plt.xticks(range(7), ["Mon", "Tue", "Wen", "Thu", "Fri", "Sat", "Sun"])
+plt.legend(loc="upper right")
+
+ax.set(
+    title="Tickets Issued on each Day",
+    ylabel="Tickets Issued")
+
+plt.tight_layout()
+plt.savefig(
+    utils.FIG_DIR / "tickets-by-day-of-week.svg",
+    transparent=True)