Mirror
/
klipper-dgus
mirror of https://github.com/Desuuuu/klipper.git
1
0
Fork 0
Code Issues Projects Releases Wiki Activity

graphstats: Normalize mcu frequency to microseconds when graphing multiple mcus 

Signed-off-by: Kevin O'Connor <kevin@koconnor.net>
This commit is contained in:
Kevin O'Connor 2022-07-26 14:15:06 -04:00
parent db6346e7e5
commit 48b60a8021
1 changed files with 43 additions and 9 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

50
scripts/graphstats.py
View File

@ -181,14 +181,48 @@ def plot_system(data):
ax1.grid(True) ax1.grid(True)
return fig return fig
def plot_frequency(data, mcu): def plot_mcu_frequencies(data):
all_keys = {} all_keys = {}
for d in data: for d in data:
all_keys.update(d) all_keys.update(d)
one_mcu = mcu is not None
graph_keys = { key: ([], []) for key in all_keys graph_keys = { key: ([], []) for key in all_keys
if (key in ("freq", "adj") or (not one_mcu and ( if (key in ("freq", "adj")
key.endswith(":freq") or key.endswith(":adj")))) } or (key.endswith(":freq") or key.endswith(":adj"))) }
for d in data:
st = datetime.datetime.utcfromtimestamp(d['#sampletime'])
for key, (times, values) in graph_keys.items():
val = d.get(key)
if val not in (None, '0', '1'):
times.append(st)
values.append(float(val))
est_mhz = { key: round((sum(values)/len(values)) / 1000000.)
for key, (times, values) in graph_keys.items() }
# Build plot
fig, ax1 = matplotlib.pyplot.subplots()
ax1.set_title("MCU frequencies")
ax1.set_xlabel('Time')
ax1.set_ylabel('Microsecond deviation')
for key in sorted(graph_keys):
times, values = graph_keys[key]
mhz = est_mhz[key]
label = "%s(%dMhz)" % (key, mhz)
hz = mhz * 1000000.
ax1.plot_date(times, [(v - hz)/mhz for v in values], '.', label=label)
fontP = matplotlib.font_manager.FontProperties()
fontP.set_size('x-small')
ax1.legend(loc='best', prop=fontP)
ax1.xaxis.set_major_formatter(matplotlib.dates.DateFormatter('%H:%M'))
ax1.yaxis.set_major_formatter(matplotlib.ticker.FormatStrFormatter('%d'))
ax1.grid(True)
return fig
def plot_mcu_frequency(data, mcu):
all_keys = {}
for d in data:
all_keys.update(d)
graph_keys = { key: ([], []) for key in all_keys
if key in ("freq", "adj") }
for d in data: for d in data:
st = datetime.datetime.utcfromtimestamp(d['#sampletime']) st = datetime.datetime.utcfromtimestamp(d['#sampletime'])
for key, (times, values) in graph_keys.items(): for key, (times, values) in graph_keys.items():
@ -199,10 +233,7 @@ def plot_frequency(data, mcu):
# Build plot # Build plot
fig, ax1 = matplotlib.pyplot.subplots() fig, ax1 = matplotlib.pyplot.subplots()
if one_mcu:
ax1.set_title("MCU '%s' frequency" % (mcu,)) ax1.set_title("MCU '%s' frequency" % (mcu,))
else:
ax1.set_title("MCU frequency")
ax1.set_xlabel('Time') ax1.set_xlabel('Time')
ax1.set_ylabel('Frequency') ax1.set_ylabel('Frequency')
for key in sorted(graph_keys): for key in sorted(graph_keys):
@ -286,7 +317,10 @@ def main():
if options.heater is not None: if options.heater is not None:
fig = plot_temperature(data, options.heater) fig = plot_temperature(data, options.heater)
elif options.frequency: elif options.frequency:
fig = plot_frequency(data, options.mcu) if options.mcu is not None:
fig = plot_mcu_frequency(data, options.mcu)
else:
fig = plot_mcu_frequencies(data)
elif options.system: elif options.system:
fig = plot_system(data) fig = plot_system(data)
else: else: