DZone
Thanks for visiting DZone today,
Edit Profile
  • Manage Email Subscriptions
  • How to Post to DZone
  • Article Submission Guidelines
Sign Out View Profile
  • Post an Article
  • Manage My Drafts
Over 2 million developers have joined DZone.
Log In / Join
Refcards Trend Reports
Events Video Library
Refcards
Trend Reports

Events

View Events Video Library

Related

  • Building a Google Calendar-like Component Using Plain JavaScript
  • Comprehensive Guide to Data Analysis and Visualization With Pandas and Matplotlib
  • From Static to Interactive: Exploring Python's Finest Data Visualization Tools
  • How To Use Pandas and Matplotlib To Perform EDA In Python

Trending

  • When Perfect Data Breaks: The Journey from Data Quality to Data Observability
  • Rethinking Java CRUDs With Event Sourcing and CQRS Patterns
  • Catching Data Perimeter Drift Before It Reaches Production
  • Building a Production-Ready AI Agent in 2026: Beyond the Hello World Demo

Plotting a Calendar in Matplotlib

We quickly go through the code you'll need to get started working with this popular and open source Python library and plotting your data!

By 
Giuseppe Vettigli user avatar
Giuseppe Vettigli
·
Apr. 15, 19 · Tutorial
Likes (3)
Comment
Save
Tweet
Share
12.4K Views

Join the DZone community and get the full member experience.

Join For Free

And here's a function to plot a compact calendar with matplotlib:

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)

Matplotlib

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)

Matplotlib

Calendar (Apple) Matplotlib

Published at DZone with permission of Giuseppe Vettigli. See the original article here.

Opinions expressed by DZone contributors are their own.

Related

  • Building a Google Calendar-like Component Using Plain JavaScript
  • Comprehensive Guide to Data Analysis and Visualization With Pandas and Matplotlib
  • From Static to Interactive: Exploring Python's Finest Data Visualization Tools
  • How To Use Pandas and Matplotlib To Perform EDA In Python

Partner Resources

×

Comments

The likes didn't load as expected. Please refresh the page and try again.

  • RSS
  • X
  • Facebook

ABOUT US

  • About DZone
  • Support and feedback
  • Community research

ADVERTISE

  • Advertise with DZone

CONTRIBUTE ON DZONE

  • Article Submission Guidelines
  • Become a Contributor
  • Core Program
  • Visit the Writers' Zone

LEGAL

  • Terms of Service
  • Privacy Policy

CONTACT US

  • 3343 Perimeter Hill Drive
  • Suite 215
  • Nashville, TN 37211
  • [email protected]

Let's be friends:

  • RSS
  • X
  • Facebook