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Fix name of tsdownsample #6193

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merged 1 commit into from
Apr 16, 2024
Merged

Fix name of tsdownsample #6193

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16 changes: 8 additions & 8 deletions holoviews/operation/downsample.py
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Original file line number Diff line number Diff line change
Expand Up @@ -165,7 +165,7 @@ def _min_max(x, y, n_out, **kwargs):
from tsdownsample import MinMaxDownsampler
except ModuleNotFoundError:
raise NotImplementedError(
'The min-max downsampling algorithm requires the tsdownsampler '
'The min-max downsampling algorithm requires the tsdownsample '
'library to be installed.'
) from None
return MinMaxDownsampler().downsample(x, y, n_out=n_out, **kwargs)
Expand All @@ -175,7 +175,7 @@ def _min_max_lttb(x, y, n_out, **kwargs):
from tsdownsample import MinMaxLTTBDownsampler
except ModuleNotFoundError:
raise NotImplementedError(
'The minmax-lttb downsampling algorithm requires the tsdownsampler '
'The minmax-lttb downsampling algorithm requires the tsdownsample '
'library to be installed.'
) from None
return MinMaxLTTBDownsampler().downsample(x, y, n_out=n_out, **kwargs)
Expand All @@ -185,7 +185,7 @@ def _m4(x, y, n_out, **kwargs):
from tsdownsample import M4Downsampler
except ModuleNotFoundError:
raise NotImplementedError(
'The m4 downsampling algorithm requires the tsdownsampler '
'The m4 downsampling algorithm requires the tsdownsample '
'library to be installed.'
) from None
return M4Downsampler().downsample(x, y, n_out=n_out, **kwargs)
Expand All @@ -204,7 +204,7 @@ class downsample1d(ResampleOperation1D):
"""
Implements downsampling of a regularly sampled 1D dataset.

If available uses the `tsdownsampler` library to perform massively
If available uses the `tsdownsample` library to perform massively
accelerated downsampling.
"""

Expand All @@ -214,14 +214,14 @@ class downsample1d(ResampleOperation1D):
- `lttb`: Largest Triangle Three Buckets downsample algorithm.
- `nth`: Selects every n-th point.
- `viewport`: Selects all points in a given viewport.
- `minmax`: Selects the min and max value in each bin (requires tsdownsampler).
- `m4`: Selects the min, max, first and last value in each bin (requires tsdownsampler).
- `minmax`: Selects the min and max value in each bin (requires tsdownsample).
- `m4`: Selects the min, max, first and last value in each bin (requires tsdownsample).
- `minmax-lttb`: First selects n_out * minmax_ratio min and max values,
then further reduces these to n_out values using the
Largest Triangle Three Buckets algorithm (requires tsdownsampler).""")
Largest Triangle Three Buckets algorithm (requires tsdownsample).""")

parallel = param.Boolean(default=False, doc="""
The number of threads to use (if tsdownsampler is available).""")
The number of threads to use (if tsdownsample is available).""")

minmax_ratio = param.Integer(default=4, bounds=(0, None), doc="""
For the minmax-lttb algorithm determines the ratio of candidate
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