Note
Click here to download the full example code
MidBusdayLocator with Mixed Bushours¶
This example shows how to use the MidBusdayLocator to mark the middle of each business day when using mixed bushours (different hours for different weekdays).
Core code:
ax.set_xscale("busday", bushours={
"Mon": (9, 17),
"Tue": (9, 17),
"Wed": (9, 12),
"Thu": (9, 22),
"Fri": (9, 12),
})
ax.xaxis.set_minor_locator(busdayaxis.MidBusdayLocator())
import matplotlib.dates as mdates
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
import busdayaxis
busdayaxis.register_scale()
# define dummy data
OPEN = 9
bushours = {
"Mon": (OPEN, 17),
"Tue": (OPEN, 17),
"Wed": (OPEN, 12),
"Thu": (OPEN, 22),
"Fri": (OPEN, 12),
}
_day_names = ["Mon", "Tue", "Wed", "Thu", "Fri", "Sat", "Sun"]
close_per_wd = np.array([bushours.get(name, (0, 0))[1] for name in _day_names])
num_days = 5
dates = pd.date_range("2025-01-06", periods=num_days * 24, freq="h") # Mon–Fri
returns = np.random.normal(0, 0.002, len(dates))
close_hours = close_per_wd[dates.weekday]
returns[(dates.hour <= OPEN) | (dates.hour > close_hours)] = 0.0
returns[~np.is_busday(np.array(dates, dtype="datetime64[D]"))] = 0.0
prices = (1 + pd.Series(returns, index=dates)).cumprod()
fig, ax = plt.subplots()
ax.plot(dates, prices.values, linewidth=1.3)
ax.set_xscale("busday", bushours=bushours)
ax.xaxis.set_major_locator(busdayaxis.DayLocator())
ax.xaxis.set_major_formatter(mdates.DateFormatter(""))
ax.xaxis.set_minor_locator(busdayaxis.MidBusdayLocator())
ax.xaxis.set_minor_formatter(mdates.DateFormatter("%a"))
ax.xaxis.grid(True, which="major")
ax.xaxis.grid(False, which="minor")
ax.set_title("Business Time (scale='busday', bushours={per-day})")
ax.set_ylabel("Price")
_ = plt.tight_layout(rect=[0, 0, 1, 0.96])
Total running time of the script: ( 0 minutes 0.088 seconds)
Download Python source code: plot_5_mid_busday_locator_mixed_bushours.py
Download Jupyter notebook: plot_5_mid_busday_locator_mixed_bushours.ipynb