def compchart_2dbarchart_jsonlogdata(settings, dataset):
"""This function is responsible for creating bar charts that compare data."""
dataset_types = shared.get_dataset_types(dataset)
data = shared.get_record_set_improved(settings, dataset, dataset_types)
# pprint.pprint(data)
fig, (ax1, ax2) = plt.subplots(nrows=2,
gridspec_kw={'height_ratios': [7, 1]})
ax3 = ax1.twinx()
fig.set_size_inches(10, 6)
#
# Puts in the credit source (often a name or url)
if settings['source']:
plt.text(1,
-0.08,
str(settings['source']),
ha='right',
va='top',
transform=ax1.transAxes,
fontsize=9)
ax2.axis('off')
return_data = create_bars_and_xlabels(settings, data, ax1, ax3)
rects1 = return_data['rects1']
rects2 = return_data['rects2']
ax1 = return_data['ax1']
ax3 = return_data['ax3']
#
# Set title
settings['type'] = ""
settings['iodepth'] = dataset_types['iodepth']
if settings['rw'] == 'randrw':
supporting.create_title_and_sub(settings, plt, skip_keys=['iodepth'])
else:
supporting.create_title_and_sub(settings, plt, skip_keys=[])
#
# Labeling the top of the bars with their value
shared.autolabel(rects1, ax1)
shared.autolabel(rects2, ax3)
shared.create_stddev_table(settings, data, ax2)
if settings['show_cpu']:
shared.create_cpu_table(settings, data, ax2)
# Create legend
ax2.legend((rects1[0], rects2[0]),
(data['y1_axis']['format'], data['y2_axis']['format']),
loc='center left',
frameon=False)
#
# Save graph to PNG file
#
supporting.save_png(settings, plt, fig)
def compchart_2dbarchart_jsonlogdata(settings, dataset):
"""This function is responsible for creating bar charts that compare data."""
dataset_types = shared.get_dataset_types(dataset)
data = shared.get_record_set_improved(settings, dataset, dataset_types)
# pprint.pprint(data)
fig, (ax1, ax2) = plt.subplots(nrows=2,
gridspec_kw={"height_ratios": [7, 1]})
ax3 = ax1.twinx()
fig.set_size_inches(10, 6)
#
# Puts in the credit source (often a name or url)
supporting.plot_source(settings, plt, ax1)
supporting.plot_fio_version(settings, data["fio_version"][0], plt, ax1)
ax2.axis("off")
return_data = create_bars_and_xlabels(settings, data, ax1, ax3)
rects1 = return_data["rects1"]
rects2 = return_data["rects2"]
ax1 = return_data["ax1"]
ax3 = return_data["ax3"]
#
# Set title
settings["type"] = ""
settings["iodepth"] = dataset_types["iodepth"]
if settings["rw"] == "randrw":
supporting.create_title_and_sub(settings, plt, skip_keys=["iodepth"])
else:
supporting.create_title_and_sub(settings, plt, skip_keys=[])
#
# Labeling the top of the bars with their value
shared.autolabel(rects1, ax1)
shared.autolabel(rects2, ax3)
tables.create_stddev_table(settings, data, ax2)
if settings["show_cpu"] and not settings["show_ss"]:
tables.create_cpu_table(settings, data, ax2)
if settings["show_ss"] and not settings["show_cpu"]:
tables.create_steadystate_table(settings, data, ax2)
# Create legend
ax2.legend(
(rects1[0], rects2[0]),
(data["y1_axis"]["format"], data["y2_axis"]["format"]),
loc="center left",
frameon=False,
)
#
# Save graph to PNG file
#
supporting.save_png(settings, plt, fig)
def chart_2dbarchart_jsonlogdata(settings, dataset):
"""This function is responsible for drawing iops/latency bars for a
particular iodepth."""
dataset_types = shared.get_dataset_types(dataset)
data = shared.get_record_set(settings, dataset, dataset_types,
settings['rw'], settings['numjobs'])
fig, (ax1, ax2) = plt.subplots(
nrows=2, gridspec_kw={'height_ratios': [7, 1]})
ax3 = ax1.twinx()
fig.set_size_inches(10, 6)
if settings['source']:
plt.text(1, -0.08, str(settings['source']), ha='right', va='top',
transform=ax1.transAxes, fontsize=9)
ax2.axis('off')
#
# Creating the bars and chart
x_pos = np.arange(0, len(data['x_axis']) * 2, 2)
width = 0.9
n = np.array(data['y2_axis']['data'], dtype=float)
rects1 = ax1.bar(x_pos, data['y1_axis']['data'], width,
color='#a8ed63')
rects2 = ax3.bar(x_pos + width, n, width,
color='#34bafa')
#
# Configure axis labels and ticks
ax1.set_ylabel(data['y1_axis']['format'])
ax1.set_xlabel(data['x_axis_format'])
ax3.set_ylabel(data['y2_axis']['format'])
ax1.set_xticks(x_pos + width / 2)
ax1.set_xticklabels(data['x_axis'])
#
# Set title
settings['type'] = ""
settings['iodepth'] = dataset_types['iodepth']
if settings['rw'] == 'randrw':
supporting.create_title_and_sub(settings, plt, skip_keys=['iodepth'])
else:
supporting.create_title_and_sub(
settings, plt, skip_keys=['iodepth', 'filter'])
#
# Labeling the top of the bars with their value
shared.autolabel(rects1, ax1)
shared.autolabel(rects2, ax3)
#
#
shared.create_stddev_table(data, ax2)
#
# Create legend
ax2.legend((rects1[0], rects2[0]),
(data['y1_axis']['format'],
data['y2_axis']['format']), loc='center left', frameon=False)
#
# Save graph to file
#
now = datetime.now().strftime('%Y-%m-%d_%H%M%S')
title = settings['title'].replace(" ", '-')
title = title.replace("/", '-')
plt.tight_layout(rect=[0, 0, 1, 0.95])
fig.savefig(f"{title}_{now}.png", dpi=settings['dpi'])
def chart_2dbarchart_jsonlogdata(settings, dataset):
"""This function is responsible for drawing iops/latency bars for a
particular iodepth."""
rw = settings['rw']
numjobs = settings['numjobs']
if not numjobs or len(numjobs) != 1:
print("Expected only single numjob, got: " + str(numjobs))
exit(1)
dataset_types = shared.get_dataset_types(dataset)
data = shared.get_record_set(settings, dataset, dataset_types, rw, numjobs)
fig, (ax1, ax2) = plt.subplots(nrows=2,
gridspec_kw={'height_ratios': [7, 1]})
ax3 = ax1.twinx()
fig.set_size_inches(10, 6)
if settings['source']:
plt.text(1,
-0.08,
str(settings['source']),
ha='right',
va='top',
transform=ax1.transAxes,
fontsize=9)
ax2.axis('off')
#
# Creating the bars and chart
x_pos = np.arange(0, len(data['x_axis']) * 2, 2)
width = 0.9
n = np.array(data['y2_axis']['data'], dtype=float)
rects1 = ax1.bar(x_pos, data['y1_axis']['data'], width, color='#a8ed63')
rects2 = ax3.bar(x_pos + width, n, width, color='#34bafa')
#
# Configure axis labels and ticks
ax1.set_ylabel(data['y1_axis']['format'])
ax1.set_xlabel(data['x_axis_format'])
ax3.set_ylabel(data['y2_axis']['format'])
ax1.set_xticks(x_pos + width / 2)
ax1.set_xticklabels(data['x_axis'])
#
# Set title
settings['type'] = ""
settings['iodepth'] = dataset_types['iodepth']
if settings['rw'] == 'randrw':
supporting.create_title_and_sub(settings, plt, skip_keys=['iodepth'])
else:
supporting.create_title_and_sub(settings,
plt,
skip_keys=['iodepth', 'filter'])
#
# Labeling the top of the bars with their value
shared.autolabel(rects1, ax1)
shared.autolabel(rects2, ax3)
#
#
shared.create_stddev_table(data, ax2)
#
# Create legend
ax2.legend((rects1[0], rects2[0]),
(data['y1_axis']['format'], data['y2_axis']['format']),
loc='center left',
frameon=False)
#
# Save graph to file
#
plt.tight_layout(rect=[0, 0, 1, 0.95])
title = settings['title'].replace(" ", '-').replace("/", '-')
name = title + '-graph-lat-iops-' + str(rw) + '-j' + str(
numjobs[0]) + '.png'
if os.path.isfile(name):
print(f"File '{name}' already exists")
exit(1)
fig.savefig(name, dpi=settings['dpi'])
def chart_2dbarchart_jsonlogdata(settings, dataset):
"""This function is responsible for drawing iops/latency bars for a
particular iodepth."""
dataset_types = shared.get_dataset_types(dataset)
data = shared.get_record_set(settings, dataset, dataset_types)
fig, (ax1, ax2) = plt.subplots(nrows=2,
gridspec_kw={"height_ratios": [7, 1]})
ax3 = ax1.twinx()
fig.set_size_inches(10, 6)
#
# Puts in the credit source (often a name or url)
if settings["source"]:
plt.text(
1,
-0.08,
str(settings["source"]),
ha="right",
va="top",
transform=ax1.transAxes,
fontsize=9,
)
ax2.axis("off")
return_data = create_bars_and_xlabels(settings, data, ax1, ax3)
rects1 = return_data["rects1"]
rects2 = return_data["rects2"]
ax1 = return_data["ax1"]
ax3 = return_data["ax3"]
#
# Set title
settings["type"] = ""
settings[settings["query"]] = dataset_types[settings["query"]]
if settings["rw"] == "randrw":
supporting.create_title_and_sub(
settings,
plt,
skip_keys=[settings["query"]],
)
else:
supporting.create_title_and_sub(
settings,
plt,
skip_keys=[settings["query"], "filter"],
)
#
# Labeling the top of the bars with their value
shared.autolabel(rects1, ax1)
shared.autolabel(rects2, ax3)
#
# Draw the standard deviation table
tables.create_stddev_table(settings, data, ax2)
#
# Draw the cpu usage table if requested
# pprint.pprint(data)
if settings["show_cpu"] and not settings["show_ss"]:
tables.create_cpu_table(settings, data, ax2)
if settings["show_ss"] and not settings["show_cpu"]:
tables.create_steadystate_table(settings, data, ax2)
#
# Create legend
ax2.legend(
(rects1[0], rects2[0]),
(data["y1_axis"]["format"], data["y2_axis"]["format"]),
loc="center left",
frameon=False,
)
#
# Save graph to PNG file
#
supporting.save_png(settings, plt, fig)