compat: Remove direct dependency on pandas

.github/workflows/test.yaml

@@ -145,6 +145,9 @@ jobs:
         with:
           environments: ${{ matrix.environment }}
           opengl: true
+      - name: PATCH  # HACK: Should never be merged into main
+        run: |
+          pixi run -e ${{ matrix.environment }} pip uninstall pandas -y
       - name: Test unit
         run: |
           pixi run -e ${{ matrix.environment }} test-unit $COV

doc/how_to/custom_components/examples/plot_viewer.md

@@ -3,6 +3,7 @@
 ```{pyodide}
 import param
 import panel as pn
+import pandas as pd
 
 from bokeh.sampledata.iris import flowers
 from panel.viewable import Viewer

examples/conftest.py

@@ -38,6 +38,58 @@
     ]
 
 
+
+if find_spec("pandas") is None:
+    collect_ignore_glob += [ # TODO: Need to be double checked
+        "gallery/altair_brushing.ipynb",
+        "gallery/deckgl_game_of_life.ipynb",
+        "gallery/gapminders.ipynb",
+        "gallery/glaciers.ipynb",
+        "gallery/hvplot_explorer.ipynb",
+        "gallery/iris_kmeans.ipynb",
+        "gallery/nyc_deckgl.ipynb",
+        "gallery/penguin_crossfilter.ipynb",
+        "gallery/penguin_kmeans.ipynb",
+        "gallery/portfolio_analyzer.ipynb",
+        "gallery/portfolio_optimizer.ipynb",
+        "gallery/vtk_interactive.ipynb",
+        "gallery/vtk_slicer.ipynb",
+        "gallery/vtk_warp.ipynb",
+        "gallery/windturbines.ipynb",
+        "gallery/xgboost_classifier.ipynb",
+        "reference/chat/ChatMessage.ipynb",
+        "reference/indicators/Tqdm.ipynb",
+        "reference/indicators/Trend.ipynb",
+        "reference/layouts/Swipe.ipynb",
+        "reference/panes/Bokeh.ipynb",
+        "reference/panes/DataFrame.ipynb",
+        "reference/panes/ECharts.ipynb",
+        "reference/panes/HTML.ipynb",
+        "reference/panes/HoloViews.ipynb",
+        "reference/panes/IPyWidget.ipynb",
+        "reference/panes/Matplotlib.ipynb",
+        "reference/panes/Param.ipynb",
+        "reference/panes/Perspective.ipynb",
+        "reference/panes/Plotly.ipynb",
+        "reference/panes/ReactiveExpr.ipynb",
+        "reference/panes/Reacton.ipynb",
+        "reference/panes/Streamz.ipynb",
+        "reference/panes/Vizzu.ipynb",
+        "reference/templates/Bootstrap.ipynb",
+        "reference/templates/EditableTemplate.ipynb",
+        "reference/templates/FastGridTemplate.ipynb",
+        "reference/templates/FastListTemplate.ipynb",
+        "reference/templates/GoldenLayout.ipynb",
+        "reference/templates/Material.ipynb",
+        "reference/templates/React.ipynb",
+        "reference/templates/Slides.ipynb",
+        "reference/templates/Vanilla.ipynb",
+        "reference/widgets/DataFrame.ipynb",
+        "reference/widgets/FileDownload.ipynb",
+        "reference/widgets/Tabulator.ipynb",
+]
+
+
 def pytest_runtest_makereport(item, call):
     """
     Skip tests that fail because "the kernel died before replying to kernel_info"

panel/pane/vizzu.py

@@ -97,7 +97,7 @@ def _get_data(self):
         return data, {str(k): v for k, v in cols.items()}
 
     def _get_columns(self):
-        import pandas as pd
+        pd = sys.modules.get("pandas")
 
         columns = []
         for col, array in self._data.items():
@@ -118,7 +118,7 @@ def _get_columns(self):
                     value = array[0]
                     if isinstance(value, dt.date):
                         columns.append({'name': col, 'type': 'datetime'})
-                    elif isdatetime(value) or isinstance(value, pd.Period):
+                    elif isdatetime(value) or pd and isinstance(value, pd.Period):
                         columns.append({'name': col, 'type': 'datetime'})
                     elif isinstance(value, str):
                         columns.append({'name': col, 'type': 'dimension'})

panel/tests/chat/test_message.py

@@ -5,7 +5,6 @@
 from io import BytesIO
 from zoneinfo import ZoneInfo
 
-import pandas as pd
 import pytest
 
 from panel import Param, bind
@@ -388,6 +387,7 @@ def test_serialize_audio(self):
         assert message.serialize() == f"Audio='{ASSETS / 'mp3.mp3'}'"
 
     def test_serialize_dataframe(self):
+        pd = pytest.importorskip("pandas")
         message = ChatMessage(DataFrame(pd.DataFrame({'a': [1, 2, 3]})))
         assert message.serialize() == "DataFrame=   a\n0  1\n1  2\n2  3"
 
@@ -396,5 +396,6 @@ def test_repr(self):
         assert repr(message) == "ChatMessage(object='Hello', user='User', reactions=['favorite'])"
 
     def test_repr_dataframe(self):
+        pd = pytest.importorskip("pandas")
         message = ChatMessage(pd.DataFrame({'a': [1, 2, 3]}), avatar="D")
         assert repr(message) == "ChatMessage(object=   a\n0  1\n1  2\n2  3, user='User', reactions=[])"

panel/tests/command/test_serve.py

@@ -61,6 +61,7 @@ def test_autoreload_app_local_module(py_files):
 
 @linux_only
 def test_serve_admin(py_file):
+    pytest.importorskip("pandas")  # TODO: Investigate if we can remove this
     app = "import panel as pn; pn.Row('# Example').servable(title='A')"
     write_file(app, py_file.file)
 
@@ -72,6 +73,7 @@ def test_serve_admin(py_file):
 
 @linux_only
 def test_serve_admin_custom_endpoint(py_file):
+    pytest.importorskip("pandas")  # TODO: Investigate if we can remove this
     app = "import panel as pn; pn.Row('# Example').servable(title='A')"
     write_file(app, py_file.file)
 

panel/tests/conftest.py

@@ -18,7 +18,6 @@
 from functools import cache
 from subprocess import PIPE, Popen
 
-import pandas as pd
 import pytest
 
 from bokeh.client import pull_session
@@ -272,6 +271,7 @@ def port():
 
 @pytest.fixture
 def dataframe():
+    pd = pytest.importorskip("pandas")
     return pd.DataFrame({
         'int': [1, 2, 3],
         'float': [3.14, 6.28, 9.42],
@@ -281,6 +281,7 @@ def dataframe():
 
 @pytest.fixture
 def df_mixed():
+    pd = pytest.importorskip("pandas")
     df = pd.DataFrame({
         'int': [1, 2, 3, 4],
         'float': [3.14, 6.28, 9.42, -2.45],
@@ -294,6 +295,7 @@ def df_mixed():
 
 @pytest.fixture
 def df_multiindex(df_mixed):
+    pd = pytest.importorskip("pandas")
     df_mi = df_mixed.copy()
     df_mi.index = pd.MultiIndex.from_tuples([
         ('group0', 'subgroup0'),
@@ -573,6 +575,7 @@ def eh(exception):
 
 @pytest.fixture
 def df_strings():
+    pd = pytest.importorskip("pandas")
     descr = [
         'Under the Weather',
         'Top Drawer',

panel/tests/io/test_cache.py

@@ -4,9 +4,10 @@
 import time
 
 from collections import Counter
+from importlib.util import find_spec
+from typing import Any
 
 import numpy as np
-import pandas as pd
 import param
 import pytest
 import requests
@@ -138,6 +139,7 @@ def test_ndarray_hash():
     )
 
 def test_dataframe_hash():
+    pd = pytest.importorskip("pandas")
     data = {
         "A": [0.0, 1.0, 2.0, 3.0, 4.0],
         "B": [0.0, 1.0, 0.0, 1.0, 0.0],
@@ -150,6 +152,7 @@ def test_dataframe_hash():
     assert not hashes_equal(df1, df2)
 
 def test_series_hash():
+    pd = pytest.importorskip("pandas")
     series1 = pd.Series([0.0, 1.0, 2.0, 3.0, 4.0])
     series2 = series1.copy()
     assert hashes_equal(series1, series2)
@@ -383,20 +386,31 @@ def expensive_calculation(self, value):
 
     assert model.executions == 2
 
-DF1 = pd.DataFrame({"x": [1]})
-DF2 = pd.DataFrame({"y": [1]})
-
-def test_hash_on_simple_dataframes():
-    assert _generate_hash(DF1)!=_generate_hash(DF2)
-
-@pytest.mark.parametrize(["value", "other", "expected"], [
+is_equal_parameterized: list[tuple[Any, Any, bool]] = [
     (None, None, True),
     (True, False, False), (False, True, False), (False, False, True), (True, True, True),
     (None, 1, False), (1, None, False), (1, 1, True), (1,2,False),
     (None, "a", False), ("a", None, False), ("a", "a", True), ("a","b",False),
     (1,"1", False),
-    (None, DF1, False), (DF1, None, False), (DF1, DF1, True), (DF1, DF1.copy(), True), (DF1,DF2,False),
-])
+]
+
+if find_spec("pandas"):
+    import pandas as pd
+    DF1 = pd.DataFrame({"x": [1]})
+    DF2 = pd.DataFrame({"y": [1]})
+    is_equal_parameterized.extend([
+        (None, DF1, False,),
+        (DF1, None, False,),
+        (DF1, DF1, True,),
+        (DF1, DF1.copy(), True,),
+        (DF1, DF2, False,),
+    ])
+
+def test_hash_on_simple_dataframes():
+    pytest.importorskip("pandas")
+    assert _generate_hash(DF1)!=_generate_hash(DF2)
+
+@pytest.mark.parametrize(["value", "other", "expected"], is_equal_parameterized)
 def test_is_equal(value, other, expected):
     assert is_equal(value, other)==expected
 

panel/tests/io/test_location.py

@@ -1,4 +1,5 @@
-import pandas as pd
+from importlib.util import find_spec
+
 import param
 import pytest
 
@@ -27,7 +28,8 @@ class SyncParameterized(param.Parameterized):
 
     string = param.String(default=None)
 
-    dataframe = param.DataFrame(default=None)
+    if find_spec("pandas") is not None:
+        dataframe = param.DataFrame(default=None)
 
 
 def test_location_update_query(location):
@@ -170,6 +172,7 @@ def test_iframe_srcdoc_location():
 
 @pytest.fixture
 def dataframe():
+    pd = pytest.importorskip("pandas")
     return pd.DataFrame({"x": [1]})
 
 def test_location_sync_from_dataframe(location, dataframe):
@@ -178,12 +181,14 @@ def test_location_sync_from_dataframe(location, dataframe):
     assert location.search == "?dataframe=%5B%7B%22x%22%3A+1%7D%5D"
 
 def test_location_sync_to_dataframe(location, dataframe):
+    pd = pytest.importorskip("pandas")
     p = SyncParameterized()
     location.search = "?dataframe=%5B%7B%22x%22%3A+1%7D%5D"
     location.sync(p)
     pd.testing.assert_frame_equal(p.dataframe, dataframe)
 
 def test_location_sync_to_dataframe_with_initial_value(location, dataframe):
+    pd = pytest.importorskip("pandas")
     p = SyncParameterized(dataframe=pd.DataFrame({"y": [2]}))
     location.search = "?dataframe=%5B%7B%22x%22%3A+1%7D%5D"
     location.sync(p)

panel/tests/io/test_save.py

@@ -3,8 +3,6 @@
 from io import StringIO
 from pathlib import Path
 
-import numpy as np
-
 from bokeh.resources import Resources
 
 from panel.config import config
@@ -66,7 +64,7 @@ def test_save_cdn_resources():
 def test_static_path_in_holoviews_save(tmpdir):
     import holoviews as hv
     hv.Store.set_current_backend('bokeh')
-    plot = hv.Curve(np.random.seed(42))
+    plot = hv.Curve([])
     res = Resources(mode='server', root_url='/')
     out_file = Path(tmpdir) / 'plot.html'
     hv.save(plot, out_file, resources=res)

panel/tests/pane/test_markup.py

@@ -7,7 +7,6 @@
 from unittest.mock import patch
 
 import numpy as np
-import pandas as pd
 import pytest
 
 from panel import config
@@ -21,10 +20,12 @@ def test_get_markdown_pane_type():
     assert PaneBase.get_pane_type("**Markdown**") is Markdown
 
 def test_get_dataframe_pane_type():
+    pd = pytest.importorskip("pandas")
     df = pd.DataFrame({"A": [1, 2, 3]})
     assert PaneBase.get_pane_type(df) is DataFrame
 
 def test_get_series_pane_type():
+    pd = pytest.importorskip("pandas")
     ser = pd.Series([1, 2, 3])
     assert PaneBase.get_pane_type(ser) is DataFrame
 
@@ -246,6 +247,7 @@ def test_html_pane_sanitize_html(document, comm):
     assert model.text.endswith('<h1><strong>HTML</h1></strong>')
 
 def test_dataframe_pane_pandas(document, comm):
+    pd = pytest.importorskip("pandas")
     pane = DataFrame(pd.DataFrame({"A": [1, 2, 3]}))
 
     # Create pane
@@ -265,6 +267,7 @@ def test_dataframe_pane_pandas(document, comm):
     assert pane._models == {}
 
 def test_dataframe_pane_supports_escape(document, comm):
+    pd = pytest.importorskip("pandas")
     url = "<a href='https://panel.holoviz.org/'>Panel</a>"
     df = pd.DataFrame({"url": [url]})
     pane = DataFrame(df)

panel/tests/pane/test_plotly.py

@@ -16,7 +16,6 @@
 plotly_available = pytest.mark.skipif(plotly is None, reason="requires plotly")
 
 import numpy as np
-import pandas as pd
 
 from panel.models.plotly import PlotlyPlot
 from panel.pane import PaneBase, Plotly
@@ -216,6 +215,7 @@ def test_clean_relayout_data():
 @pytest.mark.skipif(not find_spec("scipy"), reason="requires scipy")
 @plotly_available
 def test_plotly_swap_traces(document, comm):
+    pd = pytest.importorskip("pandas")
     data_bar = pd.DataFrame({'Count': [1, 2, 3, 4], 'Category': ["A", "B", "C", "D"]})
     data_cts = np.random.randn(1000)
 
@@ -248,6 +248,7 @@ def test_plotly_swap_traces(document, comm):
 @plotly_available
 def test_plotly_shape_datetime_converted(document, comm):
     # see https://github.com/holoviz/panel/issues/5252
+    pd = pytest.importorskip("pandas")
     start = pd.Timestamp('2022-05-11 0:00:00', tz=dt.timezone.utc)
     date_range = pd.date_range(start=start, periods=20, freq='h')
 
@@ -269,6 +270,7 @@ def test_plotly_shape_datetime_converted(document, comm):
 @plotly_available
 def test_plotly_datetime_converted_2d_array(document, comm):
     # see https://github.com/holoviz/panel/issues/7309
+    pd = pytest.importorskip("pandas")
     n_points = 3
     data = pd.DataFrame({
         'timestamp': pd.date_range(start='2023-01-01', periods=n_points, freq='min'),