import calendar import numpy as np from matplotlib.patches import Rectangle import matplotlib.pyplot as plt def plot_calendar(days, months): plt.figure(figsize=(9, 3)) # non days are grayed ax = plt.gca().axes ax.add_patch(Rectangle((29, 2), width=.8, height=.8, color='gray', alpha=.3)) ax.add_patch(Rectangle((30, 2), width=.8, height=.8, color='gray', alpha=.5)) ax.add_patch(Rectangle((31, 2), width=.8, height=.8, color='gray', alpha=.5)) ax.add_patch(Rectangle((31, 4), width=.8, height=.8, color='gray', alpha=.5)) ax.add_patch(Rectangle((31, 6), width=.8, height=.8, color='gray', alpha=.5)) ax.add_patch(Rectangle((31, 9), width=.8, height=.8, color='gray', alpha=.5)) ax.add_patch(Rectangle((31, 11), width=.8, height=.8, color='gray', alpha=.5)) for d, m in zip(days, months): ax.add_patch(Rectangle((d, m), width=.8, height=.8, color='C0')) plt.yticks(np.arange(1, 13)+.5, list(calendar.month_abbr)[1:]) plt.xticks(np.arange(1,32)+.5, np.arange(1,32)) plt.xlim(1, 32) plt.ylim(1, 13) plt.gca().invert_yaxis() # remove borders and ticks for spine in plt.gca().spines.values(): spine.set_visible(False) plt.tick_params(top=False, bottom=False, left=False, right=False) plt.show()You can use it to highlight the days with full moon in 2018:
full_moon_day = [2, 31, 2, 31, 30, 29, 28, 27, 26, 25, 24, 23, 22] full_moon_month = [1, 1, 3, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12] plot_calendar(full_moon_day, full_moon_month)
Or just highlight all the weekends:
from datetime import datetime, timedelta def get_weekends(year): weekend_day = [] weekend_month = [] start = datetime(year, 1, 1) for i in range(365): day_of_the_year = start + timedelta(days=i) if day_of_the_year.weekday() > 4: weekend_day.append(day_of_the_year.day) weekend_month.append(day_of_the_year.month) return weekend_day, weekend_month weekend_day, weekend_month = get_weekends(2018) plot_calendar(weekend_day, weekend_month)
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