fix: issue#915 error for large integers

Author: Sohaib90

src/pandas_profiling/model/summary_algorithms.py

@@ -36,6 +36,7 @@ def histogram_compute(
     stats = {}
     bins = config.plot.histogram.bins
     bins_arg = "auto" if bins == 0 else min(bins, n_unique)
+    bins_arg = np.histogram_bin_edges(finite_values, bins=bins_arg)
     stats[name] = np.histogram(finite_values, bins=bins_arg, weights=weights)
 
     max_bins = config.plot.histogram.max_bins
@@ -49,7 +50,8 @@ def chi_square(
     values: Optional[np.ndarray] = None, histogram: Optional[np.ndarray] = None
 ) -> dict:
     if histogram is None:
-        histogram, _ = np.histogram(values, bins="auto")
+        bins = bins = np.histogram_bin_edges(values, bins='auto')
+        histogram, _ = np.histogram(values, bins=bins)
     return dict(chisquare(histogram)._asdict())
 
 

tests/issues/test_issue915.py

@@ -0,0 +1,30 @@
+"""
+Test for issue 915:
+https://github.com/ydataai/pandas-profiling/issues/915
+
+Error for series with large integers.
+"""
+import fnmatch
+import pandas as pd
+from pandas_profiling import ProfileReport
+
+def test_issue915():
+    df = pd.DataFrame({"col": pd.Series([716277643516076032 + i for i in range(100)])})
+    df_profile = ProfileReport(df)
+
+    def test_with_value(n_extreme_obs):
+        """Generate HTML and validate the tabs contain the proper tab titles."""
+        df_profile.config.n_extreme_obs = n_extreme_obs
+        df_profile.invalidate_cache()
+
+        reg_min = f"*<a href=* aria-controls=* role=tab data-toggle=tab>Minimum {n_extreme_obs} values</a>*"
+        reg_max = f"*<a href=* aria-controls=* role=tab data-toggle=tab>Maximum {n_extreme_obs} values</a>*"
+
+        profile_html = df_profile.to_html()
+
+        assert fnmatch.fnmatch(profile_html, reg_min)
+        assert fnmatch.fnmatch(profile_html, reg_max)
+
+    test_with_value(5)
+    test_with_value(100)
+    test_with_value(120)