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)
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)