fix: issue1688 is not None to avoid the error

src/ydata_profiling/model/summary_algorithms.py

@@ -41,7 +41,11 @@ def histogram_compute(
     bins = np.histogram_bin_edges(finite_values, bins=bins_arg)
     if len(bins) > hist_config.max_bins:
         bins = np.histogram_bin_edges(finite_values, bins=hist_config.max_bins)
-        weights = weights if weights and len(weights) == hist_config.max_bins else None
+        weights = (
+            weights
+            if (weights is not None and len(weights) == hist_config.max_bins)
+            else None
+        )
 
     stats[name] = np.histogram(
         finite_values, bins=bins, weights=weights, density=config.plot.histogram.density

tests/issues/test_issue1688.py

@@ -0,0 +1,60 @@
+"""
+Test for issue 1688.
+
+https://github.com/ydataai/ydata-profiling/issues/1688
+
+"""
+import tempfile
+
+import numpy as np
+import pandas as pd
+import pytest
+
+from ydata_profiling import ProfileReport
+from ydata_profiling.config import Settings
+from ydata_profiling.utils.paths import get_config
+
+
+@pytest.fixture
+def data():
+    """Creates a dataframe for the test."""
+    data = [
+        [1.0, 999, "", 10, None],
+        [34.54, 3424, None, 4, 5],
+        [9548.43, 1, "fdsfv", 54, 876],
+        [32, 43.43, "dsfda", 43, 12],
+        [1.0, 5454, "cxcc", 13, 43],
+        [45.7, 43, "fsdfsfsfdsfsdf", 1, 54],
+    ]
+
+    df = pd.DataFrame(np.array(data), columns=["a", "b", "c", "d", "e"])
+
+    return df
+
+
+def test_empty_df(data):
+    """Checking for an empty dataframe."""
+    if not len(data):
+        raise ValueError("Check the dataframe it is empty")
+
+
+def test_issue1688(data):
+    """
+    Check: empty_df, report and html.
+
+    Here, first the dataframe is checked to see if it is empty,
+    then a report and temporary html are created,
+    which is deleted after the block completes.
+    """
+    test_empty_df(data)
+
+    conf = get_config("config_default.yaml")
+    conf = Settings().from_file(conf)
+    conf.plot.histogram.max_bins = 2
+    conf.plot.histogram.bins = 0
+    profile = ProfileReport(data, config=conf, title="Pandas Profiling Report")
+
+    with tempfile.NamedTemporaryFile(delete=True) as temp_file:
+        # Generate a temporary file and delete it
+        # after the block is completed
+        profile.to_file(temp_file.name)