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As polars has the .plot method it would be obvious and very valuable that .plot.explorer() also worked. But it does not.
.plot
.plot.explorer()
Run the below code in a notebook
import polars as pl df = pl.read_csv("https://assets.holoviz.org/panel/tutorials/turbines.csv.gz") df.plot.explorer()
See that it raises an exception.
--------------------------------------------------------------------------- ValueError Traceback (most recent call last) Cell In[3], line 5 1 import polars as pl 3 df = pl.read_csv("https://assets.holoviz.org/panel/tutorials/turbines.csv.gz") ----> 5 df.plot.explorer() File /opt/conda/lib/python3.11/site-packages/hvplot/plotting/core.py:168, in hvPlotBase.explorer(self, x, y, **kwds) 129 """ 130 The `explorer` plot allows you to interactively explore your data. 131 (...) 164 df.hvplot.explorer() 165 """ 166 from ..ui import explorer as ui_explorer --> 168 return ui_explorer(self._data, x=x, y=y, **kwds) File /opt/conda/lib/python3.11/site-packages/hvplot/ui.py:87, in explorer(data, **kwargs) 55 def explorer(data, **kwargs): 56 """Explore your data and design your plot via an interactive user interface. 57 58 This function returns an interactive Panel component that enable you to quickly change the (...) 85 >>> hvplot.explorer(df, kind='bar', x='x') 86 """ ---> 87 return hvPlotExplorer.from_data(data, **kwargs) File /opt/conda/lib/python3.11/site-packages/hvplot/ui.py:547, in hvPlotExplorer.from_data(cls, data, **params) 545 else: 546 cls = hvDataFrameExplorer --> 547 return cls(data, **params) File /opt/conda/lib/python3.11/site-packages/hvplot/ui.py:557, in hvPlotExplorer.__init__(self, df, **params) 555 params['y_multi'] = params.pop('y') if isinstance(params['y'], list) else [params['y']] 556 statusbar_params = {k: params.pop(k) for k in params.copy() if k in StatusBar.param} --> 557 converter = _hvConverter( 558 df, x, y, **{k: v for k, v in params.items() if k not in ('x', 'y', 'y_multi')} 559 ) 560 # Collect kwargs passed to the constructor but meant for the controls 561 extras = {k: params.pop(k) for k in params.copy() if k not in self.param} File /opt/conda/lib/python3.11/site-packages/hvplot/converter.py:595, in HoloViewsConverter.__init__(self, data, x, y, kind, by, use_index, group_label, value_label, backlog, persist, use_dask, crs, fields, groupby, dynamic, grid, legend, rot, title, xlim, ylim, clim, robust, symmetric, logx, logy, loglog, hover, subplots, label, invert, stacked, colorbar, datashade, rasterize, downsample, resample_when, row, col, debug, framewise, aggregator, projection, global_extent, geo, precompute, flip_xaxis, flip_yaxis, dynspread, hover_cols, x_sampling, y_sampling, project, tools, attr_labels, coastline, tiles, tiles_opts, sort_date, check_symmetric_max, transforms, stream, cnorm, features, rescale_discrete_levels, autorange, **kwds) 593 self.value_label = value_label 594 self.label = label --> 595 self._process_data( 596 kind, 597 data, 598 x, 599 y, 600 by, 601 groupby, 602 row, 603 col, 604 use_dask, 605 persist, 606 backlog, 607 label, 608 group_label, 609 value_label, 610 hover_cols, 611 attr_labels, 612 transforms, 613 stream, 614 robust, 615 kwds, 616 ) 618 self.dynamic = dynamic 619 self.geo = any([geo, crs, global_extent, projection, project, coastline, features]) File /opt/conda/lib/python3.11/site-packages/hvplot/converter.py:1157, in HoloViewsConverter._process_data(self, kind, data, x, y, by, groupby, row, col, use_dask, persist, backlog, label, group_label, value_label, hover_cols, attr_labels, transforms, stream, robust, kwds) 1155 self.data = data 1156 else: -> 1157 raise ValueError('Supplied data type %s not understood' % type(data).__name__) 1159 if stream is not None: 1160 if streaming: ValueError: Supplied data type DataFrame not understood
FYI. @MarcoGorelli
The text was updated successfully, but these errors were encountered:
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As polars has the
.plot
method it would be obvious and very valuable that.plot.explorer()
also worked. But it does not.Run the below code in a notebook
See that it raises an exception.
FYI. @MarcoGorelli
The text was updated successfully, but these errors were encountered: