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Gantt Chart with Matplotlib v2
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import pandas as pd | |
import numpy as np | |
import matplotlib.pyplot as plt | |
from matplotlib.patches import Patch | |
from pandas import Timestamp | |
##### DATA ##### | |
data = {'Task': {0: 'TSK M', | |
1: 'TSK N', | |
2: 'TSK L', | |
3: 'TSK K', | |
4: 'TSK J', | |
5: 'TSK H', | |
6: 'TSK I', | |
7: 'TSK G', | |
8: 'TSK F', | |
9: 'TSK E', | |
10: 'TSK D', | |
11: 'TSK C', | |
12: 'TSK B', | |
13: 'TSK A'}, | |
'Department': {0: 'IT', | |
1: 'MKT', | |
2: 'ENG', | |
3: 'PROD', | |
4: 'PROD', | |
5: 'FIN', | |
6: 'MKT', | |
7: 'FIN', | |
8: 'MKT', | |
9: 'ENG', | |
10: 'FIN', | |
11: 'IT', | |
12: 'MKT', | |
13: 'MKT'}, | |
'Start': {0: Timestamp('2022-03-17 00:00:00'), | |
1: Timestamp('2022-03-17 00:00:00'), | |
2: Timestamp('2022-03-10 00:00:00'), | |
3: Timestamp('2022-03-09 00:00:00'), | |
4: Timestamp('2022-03-04 00:00:00'), | |
5: Timestamp('2022-02-28 00:00:00'), | |
6: Timestamp('2022-02-28 00:00:00'), | |
7: Timestamp('2022-02-27 00:00:00'), | |
8: Timestamp('2022-02-26 00:00:00'), | |
9: Timestamp('2022-02-23 00:00:00'), | |
10: Timestamp('2022-02-22 00:00:00'), | |
11: Timestamp('2022-02-21 00:00:00'), | |
12: Timestamp('2022-02-19 00:00:00'), | |
13: Timestamp('2022-02-15 00:00:00')}, | |
'End': {0: Timestamp('2022-03-20 00:00:00'), | |
1: Timestamp('2022-03-19 00:00:00'), | |
2: Timestamp('2022-03-13 00:00:00'), | |
3: Timestamp('2022-03-13 00:00:00'), | |
4: Timestamp('2022-03-17 00:00:00'), | |
5: Timestamp('2022-03-02 00:00:00'), | |
6: Timestamp('2022-03-05 00:00:00'), | |
7: Timestamp('2022-03-03 00:00:00'), | |
8: Timestamp('2022-02-27 00:00:00'), | |
9: Timestamp('2022-03-09 00:00:00'), | |
10: Timestamp('2022-03-01 00:00:00'), | |
11: Timestamp('2022-03-03 00:00:00'), | |
12: Timestamp('2022-02-24 00:00:00'), | |
13: Timestamp('2022-02-20 00:00:00')}, | |
'Completion': {0: 0.0, | |
1: 0.0, | |
2: 0.0, | |
3: 0.0, | |
4: 0.0, | |
5: 1.0, | |
6: 0.4, | |
7: 0.7, | |
8: 1.0, | |
9: 0.5, | |
10: 1.0, | |
11: 0.9, | |
12: 1.0, | |
13: 1.0}} | |
##### DATA PREP ##### | |
df = pd.DataFrame(data) | |
# project start date | |
proj_start = df.Start.min() | |
# number of days from project start to task start | |
df['start_num'] = (df.Start-proj_start).dt.days | |
# number of days from project start to end of tasks | |
df['end_num'] = (df.End-proj_start).dt.days | |
# days between start and end of each task | |
df['days_start_to_end'] = df.end_num - df.start_num | |
# days between start and current progression of each task | |
df['current_num'] = (df.days_start_to_end * df.Completion) | |
# create a column with the color for each department | |
def color(row): | |
c_dict = {'MKT':'#E64646', 'FIN':'#E69646', 'ENG':'#34D05C', 'PROD':'#34D0C3', 'IT':'#3475D0'} | |
return c_dict[row['Department']] | |
df['color'] = df.apply(color, axis=1) | |
##### PLOT ##### | |
fig, (ax, ax1) = plt.subplots(2, figsize=(16,6), gridspec_kw={'height_ratios':[6, 1]}, facecolor='#36454F') | |
ax.set_facecolor('#36454F') | |
ax1.set_facecolor('#36454F') | |
# bars | |
ax.barh(df.Task, df.current_num, left=df.start_num, color=df.color) | |
ax.barh(df.Task, df.days_start_to_end, left=df.start_num, color=df.color, alpha=0.5) | |
for idx, row in df.iterrows(): | |
ax.text(row.end_num+0.1, idx, f"{int(row.Completion*100)}%", va='center', alpha=0.8, color='w') | |
ax.text(row.start_num-0.1, idx, row.Task, va='center', ha='right', alpha=0.8, color='w') | |
# grid lines | |
ax.set_axisbelow(True) | |
ax.xaxis.grid(color='k', linestyle='dashed', alpha=0.4, which='both') | |
# ticks | |
xticks = np.arange(0, df.end_num.max()+1, 3) | |
xticks_labels = pd.date_range(proj_start, end=df.End.max()).strftime("%m/%d") | |
xticks_minor = np.arange(0, df.end_num.max()+1, 1) | |
ax.set_xticks(xticks) | |
ax.set_xticks(xticks_minor, minor=True) | |
ax.set_xticklabels(xticks_labels[::3], color='w') | |
ax.set_yticks([]) | |
plt.setp([ax.get_xticklines()], color='w') | |
# align x axis | |
ax.set_xlim(0, df.end_num.max()) | |
# remove spines | |
ax.spines['right'].set_visible(False) | |
ax.spines['left'].set_visible(False) | |
ax.spines['left'].set_position(('outward', 10)) | |
ax.spines['top'].set_visible(False) | |
ax.spines['bottom'].set_color('w') | |
plt.suptitle('PROJECT XYZ', color='w') | |
##### LEGENDS ##### | |
legend_elements = [Patch(facecolor='#E64646', label='Marketing'), | |
Patch(facecolor='#E69646', label='Finance'), | |
Patch(facecolor='#34D05C', label='Engineering'), | |
Patch(facecolor='#34D0C3', label='Production'), | |
Patch(facecolor='#3475D0', label='IT')] | |
legend = ax1.legend(handles=legend_elements, loc='upper center', ncol=5, frameon=False) | |
plt.setp(legend.get_texts(), color='w') | |
# clean second axis | |
ax1.spines['right'].set_visible(False) | |
ax1.spines['left'].set_visible(False) | |
ax1.spines['top'].set_visible(False) | |
ax1.spines['bottom'].set_visible(False) | |
ax1.set_xticks([]) | |
ax1.set_yticks([]) | |
plt.savefig('gantt.png', facecolor='#36454F') |
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