diff --git a/python/cuxfilter/assets/numba_kernels/gpu_histogram.py b/python/cuxfilter/assets/numba_kernels/gpu_histogram.py index 28f621ac..3fee913c 100644 --- a/python/cuxfilter/assets/numba_kernels/gpu_histogram.py +++ b/python/cuxfilter/assets/numba_kernels/gpu_histogram.py @@ -20,7 +20,7 @@ def calc_value_counts(a_gpu, stride, min_value, custom_binning=False): """ custom_binning = custom_binning and stride - if isinstance(a_gpu, dask_cudf.core.Series): + if isinstance(a_gpu, dask_cudf.Series): if not custom_binning: val_count = a_gpu.value_counts() else: @@ -64,7 +64,7 @@ def calc_groupby(chart: Type[BaseChart], data, agg=None): if agg is None: temp_df[chart.y] = data.dropna(subset=[chart.x])[chart.y] - if isinstance(temp_df, dask_cudf.core.DataFrame): + if isinstance(temp_df, dask_cudf.DataFrame): groupby_res = getattr( temp_df.groupby(by=[chart.x], sort=True), chart.aggregate_fn )() @@ -76,7 +76,7 @@ def calc_groupby(chart: Type[BaseChart], data, agg=None): else: for key, agg_fn in agg.items(): temp_df[key] = data[key] - if isinstance(data, dask_cudf.core.DataFrame): + if isinstance(data, dask_cudf.DataFrame): groupby_res = None for key, agg_fn in agg.items(): groupby_res_temp = getattr( diff --git a/python/cuxfilter/charts/core/core_view_dataframe.py b/python/cuxfilter/charts/core/core_view_dataframe.py index 770723e7..7232e624 100644 --- a/python/cuxfilter/charts/core/core_view_dataframe.py +++ b/python/cuxfilter/charts/core/core_view_dataframe.py @@ -51,7 +51,7 @@ def name(self): def initiate_chart(self, dashboard_cls): data = dashboard_cls._cuxfilter_df.data - if isinstance(data, dask_cudf.core.DataFrame): + if isinstance(data, dask_cudf.DataFrame): if self.force_computation: self.generate_chart(data.compute()) else: @@ -113,7 +113,7 @@ def get_dashboard_view(self): return pn.panel(self.chart, sizing_mode="stretch_both") def reload_chart(self, data): - if isinstance(data, dask_cudf.core.DataFrame): + if isinstance(data, dask_cudf.DataFrame): if self.force_computation: self.chart.data = self._format_data( data[self.columns].compute() diff --git a/python/cuxfilter/charts/core/non_aggregate/core_graph.py b/python/cuxfilter/charts/core/non_aggregate/core_graph.py index 76bb1d3a..13d30a14 100644 --- a/python/cuxfilter/charts/core/non_aggregate/core_graph.py +++ b/python/cuxfilter/charts/core/non_aggregate/core_graph.py @@ -211,9 +211,7 @@ def initiate_chart(self, dashboard_cls): dashboard_cls._cuxfilter_df.data[self.node_y].min(), dashboard_cls._cuxfilter_df.data[self.node_y].max(), ) - if isinstance( - dashboard_cls._cuxfilter_df.data, dask_cudf.core.DataFrame - ): + if isinstance(dashboard_cls._cuxfilter_df.data, dask_cudf.DataFrame): self.x_range = dd.compute(*self.x_range) self.y_range = dd.compute(*self.y_range) diff --git a/python/cuxfilter/charts/datashader/plots.py b/python/cuxfilter/charts/datashader/plots.py index 8093a780..b53fd364 100644 --- a/python/cuxfilter/charts/datashader/plots.py +++ b/python/cuxfilter/charts/datashader/plots.py @@ -324,7 +324,7 @@ def format_source_data(self, data): self.x_range = (self.source[self.x].min(), self.source[self.x].max()) self.y_range = (self.source[self.y].min(), self.source[self.y].max()) - if isinstance(data, dask_cudf.core.DataFrame): + if isinstance(data, dask_cudf.DataFrame): self.x_range = dd.compute(*self.x_range) self.y_range = dd.compute(*self.y_range) @@ -449,7 +449,7 @@ def format_source_data(self, data): self.source[self.y].min().min(), self.source[self.y].max().max(), ) - if isinstance(data, dask_cudf.core.DataFrame): + if isinstance(data, dask_cudf.DataFrame): self.x_range = dd.compute(*self.x_range) self.y_range = dd.compute(*self.y_range) diff --git a/python/cuxfilter/charts/panel_widgets/plots.py b/python/cuxfilter/charts/panel_widgets/plots.py index 10c675de..f165bb4f 100644 --- a/python/cuxfilter/charts/panel_widgets/plots.py +++ b/python/cuxfilter/charts/panel_widgets/plots.py @@ -114,7 +114,7 @@ def initiate_chart(self, dashboard_cls): _series = dashboard_cls._cuxfilter_df.data[self.x].value_counts() self.data_points = ( _series.compute().shape[0] - if isinstance(_series, dask_cudf.core.Series) + if isinstance(_series, dask_cudf.Series) else _series.shape[0] ) del _series @@ -343,7 +343,7 @@ def calc_list_of_values(self, data): """ if self.label_map is None: self.list_of_values = data[self.x].unique() - if isinstance(data, dask_cudf.core.DataFrame): + if isinstance(data, dask_cudf.DataFrame): self.list_of_values = self.list_of_values.compute() self.list_of_values = self.list_of_values.to_pandas().tolist() diff --git a/python/cuxfilter/tests/charts/datashader/test_graph_assets.py b/python/cuxfilter/tests/charts/datashader/test_graph_assets.py index 6418a323..545bc5b9 100644 --- a/python/cuxfilter/tests/charts/datashader/test_graph_assets.py +++ b/python/cuxfilter/tests/charts/datashader/test_graph_assets.py @@ -1,8 +1,8 @@ -import dask_cudf import pytest import cudf import cupy as cp from cuxfilter.charts.datashader.custom_extensions import graph_assets +from dask.dataframe import assert_eq from ..utils import initialize_df, df_types @@ -50,15 +50,4 @@ def test_calc_connected_edges( node_y_dtype=cp.float32, ).reset_index(drop=True) - res = ( - res.compute().reset_index(drop=True) - if isinstance(res, dask_cudf.DataFrame) - else res - ) - result = ( - result.compute() - if isinstance(result, dask_cudf.DataFrame) - else result - ) - - assert res.to_pandas().equals(result.to_pandas()) + assert_eq(res, result, check_divisions=False, check_index=False)