Updated script that can be controled by Nodejs web app

lib/python3.13/site-packages/pandas/tests/frame/conftest.py

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+import numpy as np
+import pytest
+
+from pandas import (
+    DataFrame,
+    Index,
+    NaT,
+    date_range,
+)
+
+
+@pytest.fixture
+def datetime_frame() -> DataFrame:
+    """
+    Fixture for DataFrame of floats with DatetimeIndex
+
+    Columns are ['A', 'B', 'C', 'D']
+    """
+    return DataFrame(
+        np.random.default_rng(2).standard_normal((100, 4)),
+        columns=Index(list("ABCD"), dtype=object),
+        index=date_range("2000-01-01", periods=100, freq="B"),
+    )
+
+
+@pytest.fixture
+def float_string_frame():
+    """
+    Fixture for DataFrame of floats and strings with index of unique strings
+
+    Columns are ['A', 'B', 'C', 'D', 'foo'].
+    """
+    df = DataFrame(
+        np.random.default_rng(2).standard_normal((30, 4)),
+        index=Index([f"foo_{i}" for i in range(30)], dtype=object),
+        columns=Index(list("ABCD"), dtype=object),
+    )
+    df["foo"] = "bar"
+    return df
+
+
+@pytest.fixture
+def mixed_float_frame():
+    """
+    Fixture for DataFrame of different float types with index of unique strings
+
+    Columns are ['A', 'B', 'C', 'D'].
+    """
+    df = DataFrame(
+        {
+            col: np.random.default_rng(2).random(30, dtype=dtype)
+            for col, dtype in zip(
+                list("ABCD"), ["float32", "float32", "float32", "float64"]
+            )
+        },
+        index=Index([f"foo_{i}" for i in range(30)], dtype=object),
+    )
+    # not supported by numpy random
+    df["C"] = df["C"].astype("float16")
+    return df
+
+
+@pytest.fixture
+def mixed_int_frame():
+    """
+    Fixture for DataFrame of different int types with index of unique strings
+
+    Columns are ['A', 'B', 'C', 'D'].
+    """
+    return DataFrame(
+        {
+            col: np.ones(30, dtype=dtype)
+            for col, dtype in zip(list("ABCD"), ["int32", "uint64", "uint8", "int64"])
+        },
+        index=Index([f"foo_{i}" for i in range(30)], dtype=object),
+    )
+
+
+@pytest.fixture
+def timezone_frame():
+    """
+    Fixture for DataFrame of date_range Series with different time zones
+
+    Columns are ['A', 'B', 'C']; some entries are missing
+
+               A                         B                         C
+    0 2013-01-01 2013-01-01 00:00:00-05:00 2013-01-01 00:00:00+01:00
+    1 2013-01-02                       NaT                       NaT
+    2 2013-01-03 2013-01-03 00:00:00-05:00 2013-01-03 00:00:00+01:00
+    """
+    df = DataFrame(
+        {
+            "A": date_range("20130101", periods=3),
+            "B": date_range("20130101", periods=3, tz="US/Eastern"),
+            "C": date_range("20130101", periods=3, tz="CET"),
+        }
+    )
+    df.iloc[1, 1] = NaT
+    df.iloc[1, 2] = NaT
+    return df