Add new logo to README.md

README.md

@@ -1,6 +1,5 @@
 <h1 align="center">
-<code>cocoviz</code><br>
-<img src="http://numbbo.github.io/coco/shortintro/coco.png" width="600">
+<img src="cocoviz.svg" width="600">
 </h1><br>
 
 [![PyPI Downloads](https://img.shields.io/pypi/dm/cocoviz.svg?label=PyPI%20downloads)](https://pypi.org/project/cocoviz/)
@@ -9,7 +8,6 @@
 
 `cocoviz` is a minimalist visualization toolkit for benchmark experiments.
 
-
 - **Website:** https://numbbo.github.io
 - **Source code:** https://github.com/numbbo/cocoviz/
 - **Contributing:** https://github.com/numbbo/cocoviz/pulls

src/cocoviz/__init__.py

@@ -1,5 +1,6 @@
 from ._version import __version__  # noqa: F401
-from .ert import ertplot, ertvalues
+from .ert import rtpplot, runtime_profiles
 from .types import ProblemDescription, Result, ResultSet
 
-__all__ = ["ProblemDescription", "Result", "ResultSet", "ertplot", "ertvalues"]
+
+__all__ = ["ProblemDescription", "Result", "ResultSet", "rtpplot", "runtime_profiles"]

src/cocoviz/targets.py

@@ -23,3 +23,12 @@ def linear_targets(
             targets[desc] = np.linspace(low, high, number_of_targets)
 
     return targets
+
+
+def full_targets(results: ResultSet, indicator: str) -> dict[ProblemDescription, ArrayLike]:
+    targets = {}
+    for desc, problem_results in results.by_problem():
+        indicator_values = pl.concat([r._data for r in problem_results])[indicator]
+        targets[desc] = indicator_values.unique().sort()
+
+    return targets