|
1 | 1 | from __future__ import annotations |
2 | 2 |
|
| 3 | +import dask.dataframe as dd |
| 4 | +import modin.pandas as mpd # pyright: ignore[reportMissingTypeStubs] |
3 | 5 | import narwhals.stable.v1 as nw |
4 | 6 | import palmerpenguins # pyright: ignore[reportMissingTypeStubs] |
| 7 | +import polars as pl |
| 8 | +import pyarrow as pa |
5 | 9 |
|
6 | 10 | from shiny.express import render, ui |
7 | 11 |
|
| 12 | +# import databricks.koalas as ks # pyright: ignore[reportMissingTypeStubs] |
| 13 | + |
| 14 | + |
8 | 15 | pd_df = palmerpenguins.load_penguins_raw().iloc[0:2, 0:2] |
9 | 16 |
|
10 | 17 | nw_df = nw.from_native(pd_df, eager_only=True) |
| 18 | +pa_df = pa.Table.from_pandas(pd_df) |
| 19 | +mpd_df = mpd.DataFrame(pd_df) |
| 20 | +pl_df = pl.DataFrame(pd_df) |
| 21 | +dd_df = dd.from_pandas( |
| 22 | + pd_df |
| 23 | +) # pyright: ignore[reportUnknownMemberType, reportPrivateImportUsage, reportUnknownVariableType] |
| 24 | +# ks_df = ks.from_pandas(pd_df) # pyright: ignore[reportMissingTypeStubs, reportUnknownMemberType, reportUnknownVariableType] |
| 25 | + |
11 | 26 |
|
12 | 27 | with ui.layout_columns(): |
13 | 28 |
|
14 | 29 | with ui.card(): |
15 | | - |
16 | 30 | ui.h2("Original Pandas Data") |
17 | 31 |
|
18 | 32 | @render.data_frame |
@@ -73,3 +87,158 @@ def nw_data_view(): |
73 | 87 | @render.code |
74 | 88 | def nw_data_view_selected(): |
75 | 89 | return str(type(nw_df_original.data_view(selected=True))) |
| 90 | + |
| 91 | + with ui.card(): |
| 92 | + ui.h2("Original PyArrow Data") |
| 93 | + |
| 94 | + @render.data_frame |
| 95 | + def pa_df_original(): |
| 96 | + return pa_df |
| 97 | + |
| 98 | + "Data type:" |
| 99 | + |
| 100 | + @render.code |
| 101 | + def pa_type(): |
| 102 | + return str(type(pa_df)) |
| 103 | + |
| 104 | + ui.markdown("`.data()` type:") |
| 105 | + |
| 106 | + @render.code |
| 107 | + def pa_data(): |
| 108 | + return str(type(pa_df_original.data())) |
| 109 | + |
| 110 | + ui.markdown("`.data_view()` type:") |
| 111 | + |
| 112 | + @render.code |
| 113 | + def pa_data_view(): |
| 114 | + return str(type(pa_df_original.data_view())) |
| 115 | + |
| 116 | + ui.markdown("`.data_view(selected=True)` type:") |
| 117 | + |
| 118 | + @render.code |
| 119 | + def pa_data_view_selected(): |
| 120 | + return str(type(pa_df_original.data_view(selected=True))) |
| 121 | + |
| 122 | + with ui.card(): |
| 123 | + ui.h2("Modin Data") |
| 124 | + |
| 125 | + @render.data_frame |
| 126 | + def mpd_df_original(): |
| 127 | + return mpd_df |
| 128 | + |
| 129 | + "Data type:" |
| 130 | + |
| 131 | + @render.code |
| 132 | + def mpd_type(): |
| 133 | + return str(type(mpd_df)) |
| 134 | + |
| 135 | + ui.markdown("`.data()` type:") |
| 136 | + |
| 137 | + @render.code |
| 138 | + def mpd_data(): |
| 139 | + return str(type(mpd_df_original.data())) |
| 140 | + |
| 141 | + ui.markdown("`.data_view()` type:") |
| 142 | + |
| 143 | + @render.code |
| 144 | + def mpd_data_view(): |
| 145 | + return str(type(mpd_df_original.data_view())) |
| 146 | + |
| 147 | + ui.markdown("`.data_view(selected=True)` type:") |
| 148 | + |
| 149 | + @render.code |
| 150 | + def mpd_data_view_selected(): |
| 151 | + return str(type(mpd_df_original.data_view(selected=True))) |
| 152 | + |
| 153 | + with ui.card(): |
| 154 | + ui.h2("Polars Data") |
| 155 | + |
| 156 | + @render.data_frame |
| 157 | + def pl_df_original(): |
| 158 | + return pl_df |
| 159 | + |
| 160 | + "Data type:" |
| 161 | + |
| 162 | + @render.code |
| 163 | + def pl_type(): |
| 164 | + return str(type(pl_df)) |
| 165 | + |
| 166 | + ui.markdown("`.data()` type:") |
| 167 | + |
| 168 | + @render.code |
| 169 | + def pl_data(): |
| 170 | + return str(type(pl_df_original.data())) |
| 171 | + |
| 172 | + ui.markdown("`.data_view()` type:") |
| 173 | + |
| 174 | + @render.code |
| 175 | + def pl_data_view(): |
| 176 | + return str(type(pl_df_original.data_view())) |
| 177 | + |
| 178 | + ui.markdown("`.data_view(selected=True)` type:") |
| 179 | + |
| 180 | + @render.code |
| 181 | + def pl_data_view_selected(): |
| 182 | + return str(type(pl_df_original.data_view(selected=True))) |
| 183 | + |
| 184 | + with ui.card(): |
| 185 | + ui.h2("Dask Data") |
| 186 | + |
| 187 | + @render.data_frame |
| 188 | + def dd_df_original(): |
| 189 | + return dd_df |
| 190 | + |
| 191 | + "Data type:" |
| 192 | + |
| 193 | + @render.code |
| 194 | + def dd_type(): |
| 195 | + return str(type(dd_df)) |
| 196 | + |
| 197 | + ui.markdown("`.data()` type:") |
| 198 | + |
| 199 | + @render.code |
| 200 | + def dd_data(): |
| 201 | + return str(type(dd_df_original.data())) |
| 202 | + |
| 203 | + ui.markdown("`.data_view()` type:") |
| 204 | + |
| 205 | + @render.code |
| 206 | + def dd_data_view(): |
| 207 | + return str(type(dd_df_original.data_view())) |
| 208 | + |
| 209 | + ui.markdown("`.data_view(selected=True)` type:") |
| 210 | + |
| 211 | + @render.code |
| 212 | + def dd_data_view_selected(): |
| 213 | + return str(type(dd_df_original.data_view(selected=True))) |
| 214 | + |
| 215 | + # with ui.card(): |
| 216 | + # ui.h2("Koalas Data") |
| 217 | + |
| 218 | + # @render.data_frame |
| 219 | + # def ks_df_original(): |
| 220 | + # return ks_df |
| 221 | + |
| 222 | + # "Data type:" |
| 223 | + |
| 224 | + # @render.code |
| 225 | + # def ks_type(): |
| 226 | + # return str(type(ks_df)) |
| 227 | + |
| 228 | + # ui.markdown("`.data()` type:") |
| 229 | + |
| 230 | + # @render.code |
| 231 | + # def ks_data(): |
| 232 | + # return str(type(ks_df_original.data())) |
| 233 | + |
| 234 | + # ui.markdown("`.data_view()` type:") |
| 235 | + |
| 236 | + # @render.code |
| 237 | + # def ks_data_view(): |
| 238 | + # return str(type(ks_df_original.data_view())) |
| 239 | + |
| 240 | + # ui.markdown("`.data_view(selected=True)` type:") |
| 241 | + |
| 242 | + # @render.code |
| 243 | + # def ks_data_view_selected(): |
| 244 | + # return str(type(ks_df_original.data_view(selected=True))) |
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