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plotdata.py
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import argparse
import matplotlib.pyplot as plt
import matplotlib.dates as mdates
from datetime import datetime
class matedata:
def __init__(self, prefix):
self.prefix = prefix
self.date = [] # datetime entries
self.mates = [] # mates
self.bmates = [] # best mates
self.issues = [] # sum of better mates, wrong mates, bad PVs
self.tags = [] # possible release tags
with open(prefix + ".csv") as f:
for line in f:
line = line.strip()
if line.startswith("Commit"): # ignore the header
continue
if line:
parts = line.split(",")
if parts[2]: # ignore skipped commits
self.date.append(datetime.fromisoformat(parts[0]))
self.mates.append(int(parts[3]))
self.bmates.append(int(parts[4]))
self.issues.append(
sum(int(parts[i]) for i in [5, 6, 7] if parts[i])
)
self.tags.append(parts[-1])
def create_graph(self, plotAll=False):
# plotAll=True: full history, against date, single y-axis
# plotAll=False: last 50 commits, against commit, two y-axes
plotStart = 0 if plotAll else -50
d, m, b, i, t = (
self.date[plotStart:],
self.mates[plotStart:],
self.bmates[plotStart:],
self.issues[plotStart:],
self.tags[plotStart:],
)
fig, ax = plt.subplots()
yColor, dateColor = "black", "black"
bmateColor, mateColor = "limegreen", "blue"
if plotAll:
dotSize = 1
bmate = ax.scatter(d, m, label="mates", color=mateColor, s=dotSize)
mate = ax.scatter(d, b, label="best mates", color=bmateColor, s=dotSize)
ax.set_ylabel("# of mates", color=yColor)
ax.tick_params(axis="y", labelcolor=yColor)
ax.xaxis.set_major_formatter(mdates.DateFormatter("%Y-%m-%d"))
plt.setp(
ax.get_xticklabels(),
rotation=45,
ha="right",
rotation_mode="anchor",
fontsize=6,
)
ax.grid(alpha=0.4, linewidth=0.5)
# increase the size of the two dots in the legend
# legendHandles will cease to work from Matplotlib v3.9.0: legend_handles may then work
lgnd = ax.legend()
for handle in lgnd.legendHandles:
handle.set_sizes([8])
# now reduce opacity for the dots in the plot itself
bmate.set_alpha(0.25)
mate.set_alpha(0.25)
else:
d = list(range(1 - len(d), 1))
ax2 = ax.twinx()
bmateDotSize, bmateLineWidth = 25, 0.75
mateDotSize, mateLineWidth, mateAlpha = 5, 0.2, 0.5
ax2.scatter(
d, m, label="mates", color=mateColor, s=mateDotSize, alpha=mateAlpha
)
ax.scatter(d, b, label="best mates", color=bmateColor, s=bmateDotSize)
ax2.plot(d, m, color=mateColor, linewidth=mateLineWidth, alpha=mateAlpha)
ax.plot(d, b, color=bmateColor, linewidth=bmateLineWidth)
ax.set_ylabel("# of best mates", color=bmateColor)
ax.tick_params(axis="y", labelcolor=bmateColor)
ax2.set_ylabel("# of mates", color=mateColor)
ax2.tick_params(axis="y", labelcolor=mateColor, labelsize=7)
if sum(i):
color, label = (
("red", "needs investigation")
if i[-1]
else ("orange", "needed investigation")
)
issueIdx = [idx for idx, val in enumerate(i) if val]
ax2.scatter(
[d[idx] for idx in issueIdx],
[m[idx] for idx in issueIdx],
label=label,
color=color,
s=bmateDotSize,
)
ax2.legend()
for Idx, (s, dat, col) in enumerate(
[("best mates", b, bmateColor), ("mates", m, mateColor)]
):
datmin, datmax = min(dat), max(dat)
datmean = (datmin + datmax) // 2
datpct = datmax * 100 / max(datmean, 1) - 100
datStr = f"{s}$\subset$[{datmin},{datmax}]$\\approx${datmean}$\pm${datpct:.1f}%"
lenStr = len(datStr) - 20 # account for LaTeX commands
ax.text(
0.055 + Idx * (0.94 - 0.012 * lenStr),
0.02,
datStr,
transform=fig.transFigure,
color=col,
fontsize=7,
family="monospace",
weight="bold",
)
# add release labels
for i, txt in enumerate(t):
if txt:
shortArrow = txt in ["sf_13", "sf_14.1"]
ax.annotate(
txt,
xy=(d[i], b[i]),
xycoords="data",
xytext=(-7, 30 - plotAll * (60 - shortArrow * 5)),
textcoords="offset points",
arrowprops=dict(arrowstyle="->", color="black"),
fontsize=5,
weight="bold",
)
# add GOAT labels
for dataset in [self.mates, self.bmates]:
maxValue = max(dataset)
maxIndex = dataset.index(maxValue)
usedAxis = ax2 if not plotAll and dataset == self.mates else ax
usedAxis.annotate(
"GOAT",
xy=(
self.date[maxIndex] if plotAll else maxIndex - len(dataset),
dataset[maxIndex],
),
xycoords="data",
xytext=(-30, 0),
textcoords="offset points",
arrowprops=dict(arrowstyle="->", color="black"),
fontsize=5,
weight="bold",
)
if plotAll:
continue
usedAxis.axhline(
maxValue, color="silver", linestyle="dashed", linewidth=0.2
)
yt = list(usedAxis.get_yticks())
ytGap = yt[1] - yt[0] if len(yt) > 1 else 0
if min(dataset[plotStart:]) > yt[1]:
yt.pop(0)
usedAxis.set_yticks(
[t for t in yt if t < maxValue - 0.5 * ytGap] + [maxValue]
)
fig.suptitle("Evolution of SF mate finding effectiveness")
nodes = self.prefix[len(self.prefix.rstrip("0123456789")) :]
if nodes.endswith("0" * 9):
nodes = nodes[:-9] + "G" # :)
elif nodes.endswith("0" * 6):
nodes = nodes[:-6] + "M"
elif nodes.endswith("0" * 3):
nodes = nodes[:-3] + "K"
ax.set_title(
f"(Mates found with {nodes} nodes per position on matetrack.epd"
+ (f" for last {-plotStart} commits.)" if not plotAll else ".)"),
fontsize=6,
family="monospace",
)
plt.savefig(self.prefix + ("all" if plotAll else "") + ".png", dpi=300)
if __name__ == "__main__":
parser = argparse.ArgumentParser(
description="Plot data stored in e.g. matetrack1000000.csv.",
formatter_class=argparse.ArgumentDefaultsHelpFormatter,
)
parser.add_argument(
"filename",
nargs="?",
help="file with statistics over time",
default="matetrack1000000.csv",
)
args = parser.parse_args()
prefix, _, _ = args.filename.partition(".csv")
data = matedata(prefix)
data.create_graph()
data.create_graph(plotAll=True)