def test_non_matching_stats_keys(self):
r1 = result.Result()
r1.add_stats({"bla": 1., "blub": 2.})
r2 = result.Result()
r2.add_stats({"foo": 1., "bar": 2.})
with self.assertRaises(result.ResultException):
result.merge_results([r1, r2])
def test_non_matching_np_arrays_keys(self):
r1 = result.Result()
r1.add_np_array("test", np.array([]))
r1.add_np_array("test_2", np.array([]))
r2 = result.Result()
r2.add_np_array("test", np.array([]))
with self.assertRaises(result.ResultException):
result.merge_results([r1, r2])
def test_merge_strategy_average(self):
r1 = result.Result()
r1.add_np_array("test", np.array([1., 2., 3.]))
r1.add_stats({"bla": 1., "blub": 2.})
r2 = result.Result()
r2.add_np_array("test", np.array([0., 0., 0.]))
r2.add_stats({"bla": 0., "blub": 0.})
merged = result.merge_results([r1, r2])
self.assertTrue(
np.array_equal(merged.np_arrays["test"], np.array([0.5, 1., 1.5])))
self.assertEqual(merged.stats, {"bla": 0.5, "blub": 1.})
def load_results_as_dataframe(result_files: typing.Iterable[str],
use_filenames: bool = False,
merge: bool = False) -> pd.DataFrame:
if merge:
results = [file_interface.load_res_file(f) for f in result_files]
return pandas_bridge.result_to_df(merge_results(results))
df = pd.DataFrame()
for result_file in result_files:
result = file_interface.load_res_file(result_file)
name = result_file if use_filenames else None
df = pd.concat([df, pandas_bridge.result_to_df(result, name)],
axis="columns")
return df
def load_results_as_dataframe(result_files, use_filenames=False, merge=False):
import pandas as pd
from evo.tools import pandas_bridge
from evo.tools import file_interface
if merge:
from evo.core.result import merge_results
results = [file_interface.load_res_file(f) for f in result_files]
return pandas_bridge.result_to_df(merge_results(results))
df = pd.DataFrame()
for result_file in result_files:
result = file_interface.load_res_file(result_file)
name = result_file if use_filenames else None
df = pd.concat([df, pandas_bridge.result_to_df(result, name)],
axis="columns")
return df