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September 13, 2021 16:34
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Simple Gantt chart
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""" | |
Simple Gantt chart implementation | |
""" | |
from datetime import datetime as dt | |
import matplotlib | |
import matplotlib.pyplot as plt | |
from matplotlib.dates import date2num | |
import matplotlib.dates as mdates | |
import numpy | |
matplotlib.rcParams.update({'font.size': 14}) | |
default_color = 'IndianRed' | |
def create_gantt_chart(task_list): | |
fig = plt.figure(figsize=(10, 4.5)) | |
ax = fig.add_subplot(111) | |
ntasks = len(task_list) | |
yticks = numpy.arange(ntasks) | |
for y, task in zip(yticks, task_list): | |
st = task['start_date'] | |
et = task['end_date'] | |
if st is None or et is None: | |
continue | |
st = date2num(st) | |
et = date2num(et) | |
color = task.get('color', default_color) | |
duration = et - st | |
ax.barh(y, duration, left=st, height=0.8, | |
align='center', edgecolor='none', color=color) | |
labels = [t['name'] for t in task_list] | |
ax.set_yticks(yticks) | |
ax.set_yticklabels(labels) | |
ax.xaxis_date() | |
ax.invert_yaxis() | |
major_locator = mdates.YearLocator() | |
minor_locator = mdates.MonthLocator([1, 4, 7, 10]) | |
ax.xaxis.set_major_locator(major_locator) | |
ax.xaxis.set_major_formatter(mdates.DateFormatter('%Y')) | |
ax.xaxis.set_minor_locator(minor_locator) | |
ax.grid() | |
fig.autofmt_xdate() | |
return fig, ax | |
task_list = [ | |
{ | |
'name': '1.1: 2D shallow water solver', | |
'start_date': dt(2022, 9, 1), | |
'end_date': dt(2023, 5, 30), | |
'color': '#FFA07A', | |
}, | |
{ | |
'name': '1.2: Hybridized version', | |
'start_date': dt(2023, 6, 1), | |
'end_date': dt(2024, 2, 28), | |
'color': '#FFA07A', | |
}, | |
{ | |
'name': '2.1: Energy conserving 2D solver', | |
'start_date': dt(2024, 3, 1), | |
'end_date': dt(2024, 12, 31), | |
'color': '#87CEFA', | |
}, | |
{ | |
'name': '2.2: Hybridized version', | |
'start_date': dt(2025, 1, 1), | |
'end_date': dt(2025, 12, 31), | |
'color': '#87CEFA', | |
}, | |
{ | |
'name': '2.3: Numerical analysis', | |
'start_date': dt(2026, 1, 1), | |
'end_date': dt(2026, 8, 31), | |
'color': '#87CEFA', | |
}, | |
{ | |
'name': '3.1: Explicit wetting-drying', | |
'start_date': dt(2022, 10, 1), | |
'end_date': dt(2023, 8, 31), | |
'color': '#90EE90', | |
}, | |
{ | |
'name': '3.2: Implicit wetting-drying', | |
'start_date': dt(2023, 9, 1), | |
'end_date': dt(2024, 7, 31), | |
'color': '#90EE90', | |
}, | |
{ | |
'name': '4.1: 3D formulation', | |
'start_date': dt(2022, 9, 1), | |
'end_date': dt(2024, 1, 31), | |
'color': 'IndianRed', | |
}, | |
{ | |
'name': '4.2: Regrid-remap', | |
'start_date': dt(2023, 12, 1), | |
'end_date': dt(2024, 11, 30), | |
'color': 'IndianRed', | |
}, | |
{ | |
'name': '4.3: Vertical diffusion', | |
'start_date': dt(2024, 12, 1), | |
'end_date': dt(2025, 8, 31), | |
'color': 'IndianRed', | |
}, | |
{ | |
'name': '4.2: Numerical analysis', | |
'start_date': dt(2025, 9, 1), | |
'end_date': dt(2026, 8, 31), | |
'color': 'IndianRed', | |
}, | |
] | |
fig, ax = create_gantt_chart(task_list) | |
# project start/end dates | |
ax.axvline(dt(2022, 9, 1), color='k', linewidth=2.0) | |
ax.axvline(dt(2026, 8, 31), color='k', linewidth=2.0) | |
ax.set_xlim([dt(2022, 8, 1), dt(2026, 10, 1)]) | |
imgfile = 'gantt_chart.png' | |
print('Saving image {:}'.format(imgfile)) | |
plt.savefig(imgfile, dpi=200, bbox_inches='tight') |
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