fe066b9065
feat: switch to plotnine
cefe4d2775
perf: optimise a5 memory usage
92f82fe889
chore: add issue templates
92f82fe889
chore: add issue templates
6c1a7a3a52
chore: add issue templates
fa7e754b3e
chore: add issue templates
a003b90904
feat!: repeated transect merging -> contiguous transects
92b53f4391
feat!: striped transect merging -> nested transects
b9249d295b
refactor: enforce sensible adjust/transform nomenclature
220b88e692
docs: clarify accuracy at higher extents
a003b90904
feat!: repeated transect merging -> contiguous transects
92b53f4391
feat!: striped transect merging -> nested transects
f2e08b3ab9
chore: add issue templates
a003b90904
feat!: repeated transect merging -> contiguous transects
92b53f4391
feat!: striped transect merging -> nested transects
88d8a15543
chore: add issue templates
5a75c9d921
feat!: repeated transect merging -> contiguous transects
0a510c0f86
feat!: repeated transect merging -> contiguous transects
01781f3cee
feat!: repeated transect merging -> contiguous transects
8ff8253f09
feat!: striped transect merging -> nested transects
b9249d295b
refactor: enforce sensible adjust/transform nomenclature
220b88e692
docs: clarify accuracy at higher extents
2eb8e22f48
docs: update pre-polars exception docstrings
e1411a2e83
refactor: drop unused (pandas) error handling
758642e2f2
perf(analyse): load only strictly necessary columns
f225675642
feat(analyse)!: allow filtering on arbitrary columns
2eb8e22f48
docs: update pre-polars exception docstrings
e1411a2e83
refactor: drop unused (pandas) error handling
758642e2f2
perf(analyse): load only strictly necessary columns
fac2272a87
docs: update pre-polars exception docstrings
0dd6a9f71d
refactor: drop unused (pandas) error handling
a00083b469
perf(analyse): load only strictly necessary columns
f225675642
feat(analyse)!: allow filtering on arbitrary columns
79f70764cb
docs: update pre-polars exception docstrings
8a088aa0dc
refactor: drop unused (pandas) error handling
2f05de5320
perf(analyse): load only strictly necessary columns
3885538e77
feat(analyse): allow filtering on arbitrary columns