diff options
Diffstat (limited to 'libs/utils/analysis/residency_analysis.py')
| -rw-r--r-- | libs/utils/analysis/residency_analysis.py | 19 |
1 files changed, 15 insertions, 4 deletions
diff --git a/libs/utils/analysis/residency_analysis.py b/libs/utils/analysis/residency_analysis.py index 797e2f4..7cfed3d 100644 --- a/libs/utils/analysis/residency_analysis.py +++ b/libs/utils/analysis/residency_analysis.py @@ -20,6 +20,8 @@ import matplotlib.gridspec as gridspec import matplotlib.pyplot as plt from matplotlib import font_manager as fm +from matplotlib import __version__ as matplotlib_version +from packaging import version import pandas as pd import pylab as pl import operator @@ -214,6 +216,17 @@ class ResidencyAnalysis(AnalysisModule): controller: name of the controller idle: Consider idle time? """ + required_version = '1.4' + if version.parse(matplotlib_version) >= version.parse(required_version): + plt.style.use('ggplot') + else: + logging.info("matplotlib version ({}) is too old to support ggplot. Upgrade to version {}"\ + .format(matplotlib_version, required_version)) + + suffix = 'with_idle' if idle else 'without_idle' + figname = '{}/residency_for_{}_{}_{}.png'\ + .format(self._trace.plots_dir, cgroup, controller, suffix) + df = self._dfg_cpu_residencies_cgroup(controller) # Plot per-CPU break down for a single CGroup (Single pie plot) if cgroup != 'all': @@ -221,7 +234,6 @@ class ResidencyAnalysis(AnalysisModule): df = df.drop('total', 1) df = df.apply(lambda x: x*10) - plt.style.use('ggplot') colors = plt.rcParams['axes.color_cycle'] fig, axes = plt.subplots(nrows=1, ncols=1, figsize=(8,8)) patches, texts, autotexts = axes.pie(df.loc[cgroup], labels=df.columns, autopct='%.2f', colors=colors) @@ -233,7 +245,7 @@ class ResidencyAnalysis(AnalysisModule): plt.setp(autotexts, fontproperties=proptease) plt.setp(texts, fontproperties=proptease) - plt.show() + pl.savefig(figname, bbox_inches='tight') return # Otherwise, Plot per-CGroup of a Controller down for each CPU @@ -241,7 +253,6 @@ class ResidencyAnalysis(AnalysisModule): df = df[pd.isnull(df.index) != True] # Bug in matplot lib causes plotting issues when residency is < 1 df = df.apply(lambda x: x*10) - plt.style.use('ggplot') colors = plt.rcParams['axes.color_cycle'] fig, axes = plt.subplots(nrows=5, ncols=2, figsize=(12,30)) @@ -250,7 +261,7 @@ class ResidencyAnalysis(AnalysisModule): ax.set(ylabel='', title=col, aspect='equal') axes[0, 0].legend(bbox_to_anchor=(0, 0.5)) - plt.show() + pl.savefig(figname, bbox_inches='tight') |