Calendar Heatmap
Journaling Streak Calendar
Daily journaling habit tracker showing consistency and word count.
Output
Python
import matplotlib.pyplot as plt
import numpy as np
from matplotlib.colors import LinearSegmentedColormap
import matplotlib.patches as mpatches
np.random.seed(888)
days = 365
# Words written per day (0 = no entry)
words = np.random.choice([0, 0, 100, 200, 300, 500, 750, 1000], size=days,
p=[0.25, 0.1, 0.15, 0.15, 0.15, 0.1, 0.07, 0.03])
word_levels = np.digitize(words, bins=[0, 1, 100, 250, 500, 750]) - 1
weeks = 53
data = np.zeros((7, weeks))
for i, val in enumerate(word_levels):
week = i // 7
day = i % 7
if week < weeks:
data[day, week] = val
colors = ['#0a0a0f', '#1e1b4b', '#5b21b6', '#7c3aed', '#a78bfa', '#ddd6fe']
cmap = LinearSegmentedColormap.from_list('journal', colors, N=256)
fig, ax = plt.subplots(figsize=(16, 4), facecolor='#0a0a0f')
ax.set_facecolor('#0a0a0f')
im = ax.imshow(data, cmap=cmap, aspect='auto', vmin=0, vmax=5)
ax.set_yticks(range(7))
ax.set_yticklabels(['Mon', 'Tue', 'Wed', 'Thu', 'Fri', 'Sat', 'Sun'], fontsize=9, color='#e2e8f0')
ax.set_xticks(range(0, 52, 4))
ax.set_xticklabels(['Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun', 'Jul', 'Aug', 'Sep', 'Oct', 'Nov', 'Dec', ''],
fontsize=9, color='#e2e8f0')
ax.set_title('Journaling Habit - Words Written Daily', fontsize=16, color='white', fontweight='bold', pad=15)
for i in range(8):
ax.axhline(y=i-0.5, color='#1e293b', linewidth=0.5)
for i in range(weeks+1):
ax.axvline(x=i-0.5, color='#1e293b', linewidth=0.5)
ax.tick_params(colors='#e2e8f0', length=0)
for spine in ax.spines.values():
spine.set_visible(False)
legend_elements = [mpatches.Patch(facecolor=c, label=l, edgecolor='#334155')
for c, l in zip(colors, ['None', '<100', '100-250', '250-500', '500-750', '750+'])]
ax.legend(handles=legend_elements, loc='upper left', bbox_to_anchor=(0, -0.15), ncol=6,
fontsize=8, facecolor='#1e293b', edgecolor='#334155', labelcolor='white')
journal_days = int(np.sum(words > 0))
total_words = int(np.sum(words))
ax.annotate(f'{journal_days} entries | {total_words:,} total words', xy=(0.98, 1.1), xycoords='axes fraction',
fontsize=11, color='#a78bfa', ha='right', fontweight='bold')
plt.tight_layout()
plt.subplots_adjust(bottom=0.25)
plt.show()
Library
Matplotlib
Category
Time Series
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