Calendar Heatmap

Journaling Streak Calendar

Daily journaling habit tracker showing consistency and word count.

Output
Journaling Streak Calendar
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()
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