def get_data(filter):
try:
sc = results.get_scalars(filter, include_attrs=True)
iv = results.get_itervars(filter)
ra = results.get_runattrs(filter)
except ValueError as e:
raise chart.ChartScriptError("Error while querying results: " + str(e))
df = pd.concat([sc, iv, ra])
df["value"] = pd.to_numeric(df["value"], errors="ignore")
df = pd.pivot_table(df, columns="name", index="runID", dropna=False, aggfunc=aggfunc)
return df
# collect parameters for query
filter_expression = props["filter"]
start_time = float(props["vector_start_time"] or -math.inf)
end_time = float(props["vector_end_time"] or math.inf)
# query vector data into a data frame
try:
df = results.get_vectors(filter_expression,
include_attrs=True,
include_runattrs=True,
include_itervars=True,
start_time=start_time,
end_time=end_time)
except results.ResultQueryError as e:
raise chart.ChartScriptError("Error while querying results: " + str(e))
if df.empty:
raise chart.ChartScriptError("The result filter returned no data.")
def compute_histogram(row):
values = row["vecvalue"]
edges = utils.histogram_bin_edges(values)
row["binvalues"], row["binedges"] = np.histogram(values, bins=edges)
return row
df = df.apply(compute_histogram, axis=1)
# plot
# collect parameters for query
filter_expression = props["filter"]
include_fields = props["include_fields"] == "true"
xaxis_itervar = props["xaxis_itervar"]
yaxis_itervar = props["yaxis_itervar"]
# query data into a data frame
try:
df = results.get_scalars(filter_expression,
include_fields=include_fields,
include_attrs=True,
include_itervars=True,
include_runattrs=True)
except ValueError as e:
raise chart.ChartScriptError("Error while querying results: " + str(e))
if df.empty:
raise chart.ChartScriptError("The result filter returned no data.")
if not xaxis_itervar and not yaxis_itervar:
print(
"The X Axis and Y Axis options were not set in the dialog, inferring them from the data.."
)
xaxis_itervar, yaxis_itervar = utils.pick_two_columns(df)
if not xaxis_itervar or not yaxis_itervar:
raise chart.ChartScriptError(
"Please set both the X Axis and Y Axis options in the dialog - or neither, for automatic selection!"
)
utils.assert_columns_exist(
props = chart.get_properties()
utils.preconfigure_plot(props)
# collect parameters for query
filter_expression = props["filter"]
include_fields = props["include_fields"] == "true"
# query scalar data into dataframe
try:
df = results.get_scalars(filter_expression,
include_fields=include_fields,
include_attrs=True,
include_itervars=True,
include_runattrs=True)
except ValueError as e:
raise chart.ChartScriptError("Error while querying results: " + str(e))
if df.empty:
raise chart.ChartScriptError("The result filter returned no data.")
# determine "groups" and "series" for pivoting, and check them
groups = utils.split(props["groups"])
series = utils.split(props["series"])
if not groups and not series:
print(
"The Groups and Series options were not set in the dialog, inferring them from the data."
)
g, s = ("module", "name") if len(df) == 1 else utils.pick_two_columns(df)
groups, series = [g], [s]
# collect parameters for query
filter_expression = props["filter"]
include_fields = props["include_fields"] == "true"
xaxis_itervar = props["xaxis_itervar"]
group_by = utils.split(props["group_by"])
# query data into a data frame
try:
df = results.get_scalars(filter_expression,
include_fields=include_fields,
include_runattrs=True,
include_attrs=True,
include_itervars=True)
except ValueError as e:
raise chart.ChartScriptError("Error while querying results: " + str(e))
if df.empty:
raise chart.ChartScriptError("The result filter returned no data.")
if not xaxis_itervar and not group_by:
print(
"The 'X Axis' and 'Group By' options were not set in the dialog, inferring them from the data.."
)
xaxis_itervar, group_by = utils.pick_two_columns(df)
group_by = [group_by] if group_by else []
print("X Axis: " + xaxis_itervar + ", Group By: " + ",".join(group_by))
if xaxis_itervar:
utils.assert_columns_exist(
df, [xaxis_itervar],
return df
def filter_for(what):
return "(" + props["common_filter"] + ") AND (" + props[what] + ")"
xa = get_data(filter_for("xaxis_filter"))
ya = get_data(filter_for("yaxis_filter"))
iso = get_data(filter_for("iso_filter"))
cols = xa["value"].columns.values
if len(cols) != 1:
raise chart.ChartScriptError(
"X axis filter must result in exactly one value column, instead of " +
str(cols))
xaxis_column = cols[0]
cols = ya["value"].columns.values
if len(cols) != 1:
raise chart.ChartScriptError(
"Y axis filter must result in exactly one variable, instead of: " +
", ".join(cols) +
"\nTry narrowing down the filter expression to one of these by name!")
yaxis_column = cols[0]
cols = iso["value"].columns.values
if len(cols) != 1:
raise chart.ChartScriptError(
"Iso line filter must result in exactly one value column, instead of "
