mirror of
https://github.com/Stone-Red-Code/dvc.git
synced 2026-11-10 23:10:42 +01:00
583 lines
18 KiB
Python
583 lines
18 KiB
Python
import csv
|
|
import json
|
|
import logging
|
|
import os
|
|
import shutil
|
|
from collections import OrderedDict
|
|
|
|
import pytest
|
|
import yaml
|
|
from funcy import first
|
|
|
|
from dvc.repo.plots.data import (
|
|
NoMetricInHistoryError,
|
|
PlotData,
|
|
PlotMetricTypeError,
|
|
)
|
|
from dvc.repo.plots.show import NoDataOrTemplateProvided
|
|
from dvc.repo.plots.template import (
|
|
NoDataForTemplateError,
|
|
NoFieldInDataError,
|
|
TemplateNotFoundError,
|
|
)
|
|
|
|
|
|
def _write_csv(metric, filename, header=True):
|
|
with open(filename, "w", newline="") as csvobj:
|
|
if header:
|
|
writer = csv.DictWriter(
|
|
csvobj, fieldnames=list(first(metric).keys())
|
|
)
|
|
writer.writeheader()
|
|
writer.writerows(metric)
|
|
else:
|
|
writer = csv.writer(csvobj)
|
|
for d in metric:
|
|
assert len(d) == 1
|
|
writer.writerow(list(d.values()))
|
|
|
|
|
|
def _write_json(tmp_dir, metric, filename):
|
|
tmp_dir.gen(filename, json.dumps(metric, sort_keys=True))
|
|
|
|
|
|
def test_plot_csv_one_column(tmp_dir, scm, dvc, run_copy_metrics):
|
|
# no header
|
|
metric = [{"val": 2}, {"val": 3}]
|
|
_write_csv(metric, "metric_t.csv", header=False)
|
|
run_copy_metrics(
|
|
"metric_t.csv", "metric.csv", plots_no_cache=["metric.csv"]
|
|
)
|
|
|
|
props = {
|
|
"csv_header": False,
|
|
"xlab": "x_title",
|
|
"ylab": "y_title",
|
|
"title": "mytitle",
|
|
}
|
|
plot_string = dvc.plots.show(props=props)["metric.csv"]
|
|
|
|
plot_content = json.loads(plot_string)
|
|
assert plot_content["title"] == "mytitle"
|
|
assert plot_content["data"]["values"] == [
|
|
{"0": "2", PlotData.INDEX_FIELD: 0, "rev": "workspace"},
|
|
{"0": "3", PlotData.INDEX_FIELD: 1, "rev": "workspace"},
|
|
]
|
|
assert plot_content["encoding"]["x"]["field"] == PlotData.INDEX_FIELD
|
|
assert plot_content["encoding"]["y"]["field"] == "0"
|
|
assert plot_content["encoding"]["x"]["title"] == "x_title"
|
|
assert plot_content["encoding"]["y"]["title"] == "y_title"
|
|
|
|
|
|
def test_plot_csv_multiple_columns(tmp_dir, scm, dvc, run_copy_metrics):
|
|
metric = [
|
|
OrderedDict([("first_val", 100), ("second_val", 100), ("val", 2)]),
|
|
OrderedDict([("first_val", 200), ("second_val", 300), ("val", 3)]),
|
|
]
|
|
_write_csv(metric, "metric_t.csv")
|
|
run_copy_metrics(
|
|
"metric_t.csv", "metric.csv", plots_no_cache=["metric.csv"]
|
|
)
|
|
|
|
plot_string = dvc.plots.show()["metric.csv"]
|
|
|
|
plot_content = json.loads(plot_string)
|
|
assert plot_content["data"]["values"] == [
|
|
{
|
|
"val": "2",
|
|
PlotData.INDEX_FIELD: 0,
|
|
"rev": "workspace",
|
|
"first_val": "100",
|
|
"second_val": "100",
|
|
},
|
|
{
|
|
"val": "3",
|
|
PlotData.INDEX_FIELD: 1,
|
|
"rev": "workspace",
|
|
"first_val": "200",
|
|
"second_val": "300",
|
|
},
|
|
]
|
|
assert plot_content["encoding"]["x"]["field"] == PlotData.INDEX_FIELD
|
|
assert plot_content["encoding"]["y"]["field"] == "val"
|
|
|
|
|
|
def test_plot_csv_choose_axes(tmp_dir, scm, dvc, run_copy_metrics):
|
|
metric = [
|
|
OrderedDict([("first_val", 100), ("second_val", 100), ("val", 2)]),
|
|
OrderedDict([("first_val", 200), ("second_val", 300), ("val", 3)]),
|
|
]
|
|
_write_csv(metric, "metric_t.csv")
|
|
run_copy_metrics(
|
|
"metric_t.csv", "metric.csv", plots_no_cache=["metric.csv"]
|
|
)
|
|
|
|
props = {"x": "first_val", "y": "second_val"}
|
|
plot_string = dvc.plots.show(props=props)["metric.csv"]
|
|
|
|
plot_content = json.loads(plot_string)
|
|
assert plot_content["data"]["values"] == [
|
|
{
|
|
"val": "2",
|
|
"rev": "workspace",
|
|
"first_val": "100",
|
|
"second_val": "100",
|
|
},
|
|
{
|
|
"val": "3",
|
|
"rev": "workspace",
|
|
"first_val": "200",
|
|
"second_val": "300",
|
|
},
|
|
]
|
|
assert plot_content["encoding"]["x"]["field"] == "first_val"
|
|
assert plot_content["encoding"]["y"]["field"] == "second_val"
|
|
|
|
|
|
def test_plot_json_single_val(tmp_dir, scm, dvc, run_copy_metrics):
|
|
metric = [{"val": 2}, {"val": 3}]
|
|
_write_json(tmp_dir, metric, "metric_t.json")
|
|
run_copy_metrics(
|
|
"metric_t.json",
|
|
"metric.json",
|
|
plots_no_cache=["metric.json"],
|
|
commit="first run",
|
|
)
|
|
|
|
plot_string = dvc.plots.show()["metric.json"]
|
|
|
|
plot_json = json.loads(plot_string)
|
|
assert plot_json["data"]["values"] == [
|
|
{"val": 2, PlotData.INDEX_FIELD: 0, "rev": "workspace"},
|
|
{"val": 3, PlotData.INDEX_FIELD: 1, "rev": "workspace"},
|
|
]
|
|
assert plot_json["encoding"]["x"]["field"] == PlotData.INDEX_FIELD
|
|
assert plot_json["encoding"]["y"]["field"] == "val"
|
|
|
|
|
|
def test_plot_json_multiple_val(tmp_dir, scm, dvc, run_copy_metrics):
|
|
metric = [
|
|
{"first_val": 100, "val": 2},
|
|
{"first_val": 200, "val": 3},
|
|
]
|
|
_write_json(tmp_dir, metric, "metric_t.json")
|
|
run_copy_metrics(
|
|
"metric_t.json",
|
|
"metric.json",
|
|
plots_no_cache=["metric.json"],
|
|
commit="first run",
|
|
)
|
|
|
|
plot_string = dvc.plots.show()["metric.json"]
|
|
|
|
plot_content = json.loads(plot_string)
|
|
assert plot_content["data"]["values"] == [
|
|
{
|
|
"val": 2,
|
|
PlotData.INDEX_FIELD: 0,
|
|
"first_val": 100,
|
|
"rev": "workspace",
|
|
},
|
|
{
|
|
"val": 3,
|
|
PlotData.INDEX_FIELD: 1,
|
|
"first_val": 200,
|
|
"rev": "workspace",
|
|
},
|
|
]
|
|
assert plot_content["encoding"]["x"]["field"] == PlotData.INDEX_FIELD
|
|
assert plot_content["encoding"]["y"]["field"] == "val"
|
|
|
|
|
|
def test_plot_confusion(tmp_dir, dvc, run_copy_metrics):
|
|
confusion_matrix = [
|
|
{"predicted": "B", "actual": "A"},
|
|
{"predicted": "A", "actual": "A"},
|
|
]
|
|
_write_json(tmp_dir, confusion_matrix, "metric_t.json")
|
|
run_copy_metrics(
|
|
"metric_t.json",
|
|
"metric.json",
|
|
plots_no_cache=["metric.json"],
|
|
commit="first run",
|
|
)
|
|
|
|
props = {"template": "confusion", "x": "predicted", "y": "actual"}
|
|
plot_string = dvc.plots.show(props=props)["metric.json"]
|
|
|
|
plot_content = json.loads(plot_string)
|
|
assert plot_content["data"]["values"] == [
|
|
{"predicted": "B", "actual": "A", "rev": "workspace"},
|
|
{"predicted": "A", "actual": "A", "rev": "workspace"},
|
|
]
|
|
assert plot_content["encoding"]["x"]["field"] == "predicted"
|
|
assert plot_content["encoding"]["y"]["field"] == "actual"
|
|
|
|
|
|
def test_plot_multiple_revs_default(tmp_dir, scm, dvc, run_copy_metrics):
|
|
metric_1 = [{"y": 2}, {"y": 3}]
|
|
_write_json(tmp_dir, metric_1, "metric_t.json")
|
|
run_copy_metrics(
|
|
"metric_t.json",
|
|
"metric.json",
|
|
plots_no_cache=["metric.json"],
|
|
commit="init",
|
|
tag="v1",
|
|
)
|
|
|
|
metric_2 = [{"y": 3}, {"y": 5}]
|
|
_write_json(tmp_dir, metric_2, "metric_t.json")
|
|
run_copy_metrics(
|
|
"metric_t.json",
|
|
"metric.json",
|
|
plots_no_cache=["metric.json"],
|
|
commit="second",
|
|
tag="v2",
|
|
)
|
|
|
|
metric_3 = [{"y": 5}, {"y": 6}]
|
|
_write_json(tmp_dir, metric_3, "metric_t.json")
|
|
run_copy_metrics(
|
|
"metric_t.json",
|
|
"metric.json",
|
|
plots_no_cache=["metric.json"],
|
|
commit="third",
|
|
)
|
|
plot_string = dvc.plots.show(
|
|
revs=["HEAD", "v2", "v1"], props={"fields": {"y"}}
|
|
)["metric.json"]
|
|
|
|
plot_content = json.loads(plot_string)
|
|
assert plot_content["data"]["values"] == [
|
|
{"y": 5, PlotData.INDEX_FIELD: 0, "rev": "HEAD"},
|
|
{"y": 6, PlotData.INDEX_FIELD: 1, "rev": "HEAD"},
|
|
{"y": 3, PlotData.INDEX_FIELD: 0, "rev": "v2"},
|
|
{"y": 5, PlotData.INDEX_FIELD: 1, "rev": "v2"},
|
|
{"y": 2, PlotData.INDEX_FIELD: 0, "rev": "v1"},
|
|
{"y": 3, PlotData.INDEX_FIELD: 1, "rev": "v1"},
|
|
]
|
|
assert plot_content["encoding"]["x"]["field"] == PlotData.INDEX_FIELD
|
|
assert plot_content["encoding"]["y"]["field"] == "y"
|
|
|
|
|
|
def test_plot_multiple_revs(tmp_dir, scm, dvc, run_copy_metrics):
|
|
shutil.copy(tmp_dir / ".dvc" / "plots" / "default.json", "template.json")
|
|
|
|
metric_1 = [{"y": 2}, {"y": 3}]
|
|
_write_json(tmp_dir, metric_1, "metric_t.json")
|
|
stage = run_copy_metrics(
|
|
"metric_t.json",
|
|
"metric.json",
|
|
plots_no_cache=["metric.json"],
|
|
commit="init",
|
|
tag="v1",
|
|
)
|
|
|
|
metric_2 = [{"y": 3}, {"y": 5}]
|
|
_write_json(tmp_dir, metric_2, "metric_t.json")
|
|
assert dvc.reproduce(stage.addressing) == [stage]
|
|
scm.add(["metric.json", stage.path])
|
|
scm.commit("second")
|
|
scm.tag("v2")
|
|
|
|
metric_3 = [{"y": 5}, {"y": 6}]
|
|
_write_json(tmp_dir, metric_3, "metric_t.json")
|
|
assert dvc.reproduce(stage.addressing) == [stage]
|
|
scm.add(["metric.json", stage.path])
|
|
scm.commit("third")
|
|
|
|
props = {"template": "template.json"}
|
|
plot_string = dvc.plots.show(revs=["HEAD", "v2", "v1"], props=props)[
|
|
"metric.json"
|
|
]
|
|
|
|
plot_content = json.loads(plot_string)
|
|
assert plot_content["data"]["values"] == [
|
|
{"y": 5, PlotData.INDEX_FIELD: 0, "rev": "HEAD"},
|
|
{"y": 6, PlotData.INDEX_FIELD: 1, "rev": "HEAD"},
|
|
{"y": 3, PlotData.INDEX_FIELD: 0, "rev": "v2"},
|
|
{"y": 5, PlotData.INDEX_FIELD: 1, "rev": "v2"},
|
|
{"y": 2, PlotData.INDEX_FIELD: 0, "rev": "v1"},
|
|
{"y": 3, PlotData.INDEX_FIELD: 1, "rev": "v1"},
|
|
]
|
|
assert plot_content["encoding"]["x"]["field"] == PlotData.INDEX_FIELD
|
|
assert plot_content["encoding"]["y"]["field"] == "y"
|
|
|
|
|
|
def test_plot_even_if_metric_missing(
|
|
tmp_dir, scm, dvc, caplog, run_copy_metrics
|
|
):
|
|
tmp_dir.scm_gen("some_file", "content", commit="there is no metric")
|
|
scm.tag("v1")
|
|
|
|
metric = [{"y": 2}, {"y": 3}]
|
|
_write_json(tmp_dir, metric, "metric_t.json")
|
|
run_copy_metrics(
|
|
"metric_t.json",
|
|
"metric.json",
|
|
plots_no_cache=["metric.json"],
|
|
commit="there is metric",
|
|
tag="v2",
|
|
)
|
|
|
|
caplog.clear()
|
|
with caplog.at_level(logging.WARNING, "dvc"):
|
|
plot_string = dvc.plots.show(revs=["v1", "v2"])["metric.json"]
|
|
assert (
|
|
"File 'metric.json' was not found at: 'v1'. "
|
|
"It will not be plotted." in caplog.text
|
|
)
|
|
|
|
plot_content = json.loads(plot_string)
|
|
assert plot_content["data"]["values"] == [
|
|
{"y": 2, PlotData.INDEX_FIELD: 0, "rev": "v2"},
|
|
{"y": 3, PlotData.INDEX_FIELD: 1, "rev": "v2"},
|
|
]
|
|
assert plot_content["encoding"]["x"]["field"] == PlotData.INDEX_FIELD
|
|
assert plot_content["encoding"]["y"]["field"] == "y"
|
|
|
|
|
|
def test_throw_on_no_metric_at_all(tmp_dir, scm, dvc, caplog):
|
|
tmp_dir.scm_gen("some_file", "content", commit="there is no metric")
|
|
scm.tag("v1")
|
|
|
|
tmp_dir.gen("some_file", "make repo dirty")
|
|
|
|
caplog.clear()
|
|
with pytest.raises(NoMetricInHistoryError) as error, caplog.at_level(
|
|
logging.WARNING, "dvc"
|
|
):
|
|
dvc.plots.show(targets="metric.json", revs=["v1"])
|
|
|
|
# do not warn if none found
|
|
assert len(caplog.messages) == 0
|
|
|
|
assert str(error.value) == "Could not find 'metric.json'."
|
|
|
|
|
|
@pytest.fixture()
|
|
def custom_template(tmp_dir, dvc):
|
|
custom_template = tmp_dir / "custom_template.json"
|
|
shutil.copy(
|
|
tmp_dir / ".dvc" / "plots" / "default.json", custom_template,
|
|
)
|
|
return custom_template
|
|
|
|
|
|
def test_custom_template(tmp_dir, scm, dvc, custom_template, run_copy_metrics):
|
|
metric = [{"a": 1, "b": 2}, {"a": 2, "b": 3}]
|
|
_write_json(tmp_dir, metric, "metric_t.json")
|
|
run_copy_metrics(
|
|
"metric_t.json",
|
|
"metric.json",
|
|
plots_no_cache=["metric.json"],
|
|
commit="init",
|
|
tag="v1",
|
|
)
|
|
|
|
props = {"template": os.fspath(custom_template), "x": "a", "y": "b"}
|
|
plot_string = dvc.plots.show(props=props)["metric.json"]
|
|
|
|
plot_content = json.loads(plot_string)
|
|
assert plot_content["data"]["values"] == [
|
|
{"a": 1, "b": 2, "rev": "workspace"},
|
|
{"a": 2, "b": 3, "rev": "workspace"},
|
|
]
|
|
assert plot_content["encoding"]["x"]["field"] == "a"
|
|
assert plot_content["encoding"]["y"]["field"] == "b"
|
|
|
|
|
|
def _replace(path, src, dst):
|
|
path.write_text(path.read_text().replace(src, dst))
|
|
|
|
|
|
def test_custom_template_with_specified_data(
|
|
tmp_dir, scm, dvc, custom_template, run_copy_metrics
|
|
):
|
|
_replace(
|
|
custom_template, "DVC_METRIC_DATA", "DVC_METRIC_DATA,metric.json",
|
|
)
|
|
|
|
metric = [{"a": 1, "b": 2}, {"a": 2, "b": 3}]
|
|
_write_json(tmp_dir, metric, "metric_t.json")
|
|
run_copy_metrics(
|
|
"metric_t.json",
|
|
"metric.json",
|
|
outs_no_cache=["metric.json"],
|
|
commit="init",
|
|
tag="v1",
|
|
)
|
|
|
|
props = {"template": os.fspath(custom_template), "x": "a", "y": "b"}
|
|
plot_string = dvc.plots.show(props=props)["metric.json"]
|
|
|
|
plot_content = json.loads(plot_string)
|
|
assert plot_content["data"]["values"] == [
|
|
{"a": 1, "b": 2, "rev": "workspace"},
|
|
{"a": 2, "b": 3, "rev": "workspace"},
|
|
]
|
|
assert plot_content["encoding"]["x"]["field"] == "a"
|
|
assert plot_content["encoding"]["y"]["field"] == "b"
|
|
|
|
|
|
def test_plot_override_specified_data_source(
|
|
tmp_dir, scm, dvc, run_copy_metrics
|
|
):
|
|
shutil.copy(
|
|
tmp_dir / ".dvc" / "plots" / "default.json",
|
|
tmp_dir / "newtemplate.json",
|
|
)
|
|
_replace(
|
|
tmp_dir / "newtemplate.json",
|
|
"DVC_METRIC_DATA",
|
|
"DVC_METRIC_DATA,metric.json",
|
|
)
|
|
|
|
metric = [{"a": 1, "b": 2}, {"a": 2, "b": 3}]
|
|
_write_json(tmp_dir, metric, "metric1.json")
|
|
run_copy_metrics(
|
|
"metric1.json",
|
|
"metric2.json",
|
|
plots_no_cache=["metric2.json"],
|
|
commit="init",
|
|
tag="v1",
|
|
)
|
|
|
|
props = {"template": "newtemplate.json", "x": "a"}
|
|
plot_string = dvc.plots.show(targets=["metric2.json"], props=props)[
|
|
"metric2.json"
|
|
]
|
|
|
|
plot_content = json.loads(plot_string)
|
|
assert plot_content["data"]["values"] == [
|
|
{"a": 1, "b": 2, "rev": "workspace"},
|
|
{"a": 2, "b": 3, "rev": "workspace"},
|
|
]
|
|
assert plot_content["encoding"]["x"]["field"] == "a"
|
|
assert plot_content["encoding"]["y"]["field"] == "b"
|
|
|
|
|
|
def test_should_raise_on_no_template_and_datafile(tmp_dir, dvc):
|
|
with pytest.raises(NoDataOrTemplateProvided):
|
|
dvc.plots.show()
|
|
|
|
|
|
def test_should_raise_on_no_template(tmp_dir, dvc, run_copy_metrics):
|
|
metric = [{"val": 2}, {"val": 3}]
|
|
_write_json(tmp_dir, metric, "metric_t.json")
|
|
run_copy_metrics(
|
|
"metric_t.json",
|
|
"metric.json",
|
|
plots_no_cache=["metric.json"],
|
|
commit="first run",
|
|
)
|
|
|
|
with pytest.raises(TemplateNotFoundError):
|
|
props = {"template": "non_existing_template.json"}
|
|
dvc.plots.show("metric.json", props=props)
|
|
|
|
|
|
def test_plot_no_data(tmp_dir, dvc):
|
|
with pytest.raises(NoDataForTemplateError):
|
|
dvc.plots.show(props={"template": "default"})
|
|
|
|
|
|
def test_plot_wrong_metric_type(tmp_dir, scm, dvc, run_copy_metrics):
|
|
tmp_dir.gen("metric_t.txt", "some text")
|
|
run_copy_metrics(
|
|
"metric_t.txt",
|
|
"metric.txt",
|
|
plots_no_cache=["metric.txt"],
|
|
commit="add text metric",
|
|
)
|
|
|
|
with pytest.raises(PlotMetricTypeError):
|
|
dvc.plots.show(targets=["metric.txt"])
|
|
|
|
|
|
def test_plot_choose_columns(
|
|
tmp_dir, scm, dvc, custom_template, run_copy_metrics
|
|
):
|
|
metric = [{"a": 1, "b": 2, "c": 3}, {"a": 2, "b": 3, "c": 4}]
|
|
_write_json(tmp_dir, metric, "metric_t.json")
|
|
run_copy_metrics(
|
|
"metric_t.json",
|
|
"metric.json",
|
|
plots_no_cache=["metric.json"],
|
|
commit="init",
|
|
tag="v1",
|
|
)
|
|
|
|
props = {
|
|
"template": os.fspath(custom_template),
|
|
"fields": {"b", "c"},
|
|
"x": "b",
|
|
"y": "c",
|
|
}
|
|
plot_string = dvc.plots.show(props=props)["metric.json"]
|
|
|
|
plot_content = json.loads(plot_string)
|
|
assert plot_content["data"]["values"] == [
|
|
{"b": 2, "c": 3, "rev": "workspace"},
|
|
{"b": 3, "c": 4, "rev": "workspace"},
|
|
]
|
|
assert plot_content["encoding"]["x"]["field"] == "b"
|
|
assert plot_content["encoding"]["y"]["field"] == "c"
|
|
|
|
|
|
def test_plot_default_choose_column(tmp_dir, scm, dvc, run_copy_metrics):
|
|
metric = [{"a": 1, "b": 2, "c": 3}, {"a": 2, "b": 3, "c": 4}]
|
|
_write_json(tmp_dir, metric, "metric_t.json")
|
|
run_copy_metrics(
|
|
"metric_t.json",
|
|
"metric.json",
|
|
plots_no_cache=["metric.json"],
|
|
commit="init",
|
|
tag="v1",
|
|
)
|
|
|
|
plot_string = dvc.plots.show(props={"fields": {"b"}})["metric.json"]
|
|
|
|
plot_content = json.loads(plot_string)
|
|
assert plot_content["data"]["values"] == [
|
|
{PlotData.INDEX_FIELD: 0, "b": 2, "rev": "workspace"},
|
|
{PlotData.INDEX_FIELD: 1, "b": 3, "rev": "workspace"},
|
|
]
|
|
assert plot_content["encoding"]["x"]["field"] == PlotData.INDEX_FIELD
|
|
assert plot_content["encoding"]["y"]["field"] == "b"
|
|
|
|
|
|
def test_plot_yaml(tmp_dir, scm, dvc, run_copy_metrics):
|
|
metric = [{"val": 2}, {"val": 3}]
|
|
with open("metric_t.yaml", "w") as fobj:
|
|
yaml.dump(metric, fobj)
|
|
|
|
run_copy_metrics(
|
|
"metric_t.yaml", "metric.yaml", plots_no_cache=["metric.yaml"]
|
|
)
|
|
|
|
plot_string = dvc.plots.show()["metric.yaml"]
|
|
|
|
plot_content = json.loads(plot_string)
|
|
assert plot_content["data"]["values"] == [
|
|
{"val": 2, PlotData.INDEX_FIELD: 0, "rev": "workspace"},
|
|
{"val": 3, PlotData.INDEX_FIELD: 1, "rev": "workspace"},
|
|
]
|
|
|
|
|
|
def test_raise_on_wrong_field(tmp_dir, scm, dvc, run_copy_metrics):
|
|
metric = [{"val": 2}, {"val": 3}]
|
|
_write_json(tmp_dir, metric, "metric_t.json")
|
|
run_copy_metrics(
|
|
"metric_t.json",
|
|
"metric.json",
|
|
plots_no_cache=["metric.json"],
|
|
commit="first run",
|
|
)
|
|
|
|
with pytest.raises(NoFieldInDataError):
|
|
dvc.plots.show("metric.json", props={"x": "no_val"})
|
|
|
|
with pytest.raises(NoFieldInDataError):
|
|
dvc.plots.show("metric.json", props={"y": "no_val"})
|