def plot_openness_by_hour(data: list, period: dict, ax: Axes):
"""
Plots the openness by hour from the raw data.
:param data: Raw data
:param period: Period over which to average the openness
:param ax: Axes object in which to put the plot
:return: None
"""
num_hrs = 24
# Get data
hour_bins = get_openness_by_hour(data, period)
# Plot bar chart
ax.bar(range(num_hrs + 1), hour_bins)
# Decorate the axes
ax.yaxis.grid(True, which="both", linestyle="-.")
ax.set_xlim(1, num_hrs)
ax.set_xticks(range(num_hrs + 1))
ax.set_xticklabels([f"{t:02d}" for t in ax.get_xticks()])
ax.set_yticklabels([f"{o * 100:.1f}{percent()}" for o in ax.get_yticks()])
ax.set_ylabel("Andel åpen")
ax.set_xlabel("Tid på døgnet")
def plot_openness_by_weekday_by_semester(period: dict, ax: Axes):
"""
Plot openness by semester.
:param period: Period over which to average the openness
:param ax: Axes object in which to put the plot
:return: None
"""
# Configuration
num_weekdays = 5
init_year = 2015
init_semester = "Vår"
# Get data for plot
dataseries = get_openness_by_weekday_by_semester(period)
num_series = len(dataseries)
bar_width = 1 / (num_series + 1)
# Create plot
cur_year = init_year
cur_semester = init_semester
legend = []
for semester_index, week_bins in enumerate(dataseries):
# Add bars
ax.bar(
[
weekday_index + semester_index * bar_width
for weekday_index in range(num_weekdays)
],
height=week_bins[:num_weekdays],
width=bar_width,
)
# Add to legend
legend.append(f"{cur_semester} {cur_year}")
# Update semester and year for next bars
if cur_semester == "Høst":
cur_semester = "Vår"
cur_year += 1
else:
cur_semester = "Høst"
# Place legend and labels
ax.legend(legend, loc="lower right")
ax.set_xticklabels(("", "Mandag", "Tirsdag", "Onsdag", "Torsdag", "Fredag"))
ax.set_yticklabels(
[f"{openness * 100:.1f}{percent()}" for openness in ax.get_yticks()]
)
ax.set_ylabel("Andel åpen")
def plot_openness(data: list, period: dict, ax: Axes):
"""
Plots the openness from the raw data.
:param data: Raw data
:param period: Period over which to average the openness
:param ax: Axes object in which to put the plot
:return: None
"""
# Get data
datetimes, openness = get_openness(data, period)
# Make filled line plot
ax.fill_between(datetimes, openness)
# Decorate axes
ax.xaxis.set_major_locator(MonthLocator((1, 4, 7, 10), bymonthday=1))
ax.xaxis.set_major_formatter(DateFormatter("%b '%y"))
ax.set_yticklabels([f"{o * 100:.0f}{percent()}" for o in ax.get_yticks()])
ax.set_ylabel("Andel åpen")
ax.grid(linestyle="-.")
def plot_openness_by_weekday(data: list, period: dict, ax: Axes):
"""
Plot the openness by weekday from the raw data.
:param data: Raw data
:param period: Period over which to average the openness
:param ax: Axes object in which to put the plot
:return: None
"""
week_bins = get_openness_by_weekday(data, period)
weekday_avg = sum(week_bins[0:5]) / 5
weekend_avg = sum(week_bins[5:7]) / 2
# Plot bar
ax.bar(range(7), week_bins)
# Plot averages
ax.text(
2,
weekday_avg * 1.05,
f"Gjennomsnitt ukedager: {weekday_avg * 100:.0f}{percent()}",
)
ax.text(
4.5,
weekend_avg * 1.1,
f"Gjennomsnitt helgedager: {weekend_avg * 100:.0f}{percent()}",
)
ax.plot((0, 5 - 1), (weekday_avg, weekday_avg), "k--")
ax.plot((5, 7 - 1), (weekend_avg, weekend_avg), "k--")
# Decorate axes
ax.set_xticklabels(
("", "Mandag", "Tirsdag", "Onsdag", "Torsdag", "Fredag", "Lørdag", "Søndag")
)
ax.set_yticklabels(
[f"{openness * 100:.1f}{percent()}" for openness in ax.get_yticks()]
)
ax.set_ylabel("Andel åpen")