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import csv
import sys
import matplotlib.pyplot as plt
data = {}
max_bars = {}
file = 1
try:
while True:
print("{}/heatmap_congestion_by_wiretype_{}.csv".format(sys.argv[1], file))
with open("{}/heatmap_congestion_by_wiretype_{}.csv".format(sys.argv[1], file)) as f:
reader = csv.reader(f, delimiter=',')
for row in [x for x in reader][1:]:
key = row[0]
values = [float(x) for x in row[1:] if x != '']
# Ignore wires without overuse
values[0] = 0
values[1] = 0
if key not in data:
data[key] = []
max_bars[key] = 0
data[key].append(values)
max_bars[key] = max(max_bars[key], len(values))
file += 1
except FileNotFoundError:
pass
finally:
file -= 1
to_remove = []
for key in data.keys():
if sum([sum(values) for values in data[key]]) == 0:
# Prune entries that never have any overuse to attempt to reduce visual clutter
to_remove.append(key)
else:
# Pad entries as needed
for values in data[key]:
while len(values) < max_bars[key]:
values.append(0)
for key in to_remove:
del data[key]
COLS = 2
for i in range(file):
plt.suptitle("heatmap for iteration {}".format(i))
fig, axs = plt.subplots((len(data.keys())+(COLS-1))//COLS, COLS)
for j, key in enumerate(data.keys()):
if sum(data[key][i]) > 0:
axs[j//COLS, j%COLS].bar([x for x in range(len(data[key][i]))], data[key][i])
axs[j//COLS, j%COLS].set_title(key)
else:
axs[j//COLS, j%COLS].set_axis_off()
plt.savefig("{}/heatmap_congestion_by_wiretype_{:03}.png".format(sys.argv[1], i), dpi=300)
plt.close()
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