Merge branch 'develop' into renovate/mkdocs-table-reader-plugin-2.x

README.md

@@ -220,7 +220,7 @@ pip install -e .
 
 The profiling report is written in HTML and CSS, which means a modern browser is required. 
 
-You need [Python 3](https://python3statement.org/) to run the package. Other dependencies can be found in the requirements files:
+You need [Python 3](https://python3statement.github.io/) to run the package. Other dependencies can be found in the requirements files:
 
 | Filename | Requirements|
 |----------|-------------|

src/ydata_profiling/model/spark/summary_spark.py

@@ -87,19 +87,25 @@ def multiprocess_1d(args: tuple) -> Tuple[str, dict]:
         column, df = args
         return column, describe_1d(config, df.select(column), summarizer, typeset)
 
+    # Rename the df column names to prevent potential conflicts
+    for col in df.columns:
+        df = df.withColumnRenamed(col, f"{col}_customer")
+
     args = [(name, df) for name in df.columns]
     with multiprocessing.pool.ThreadPool(12) as executor:
         for i, (column, description) in enumerate(
             executor.imap_unordered(multiprocess_1d, args)
         ):
+            if column.endswith("_customer"):
+                column = column[:-9]
             pbar.set_postfix_str(f"Describe variable:{column}")
 
             # summary clean up for spark
             description.pop("value_counts")
 
             series_description[column] = description
             pbar.update()
-        series_description = {k: series_description[k] for k in df.columns}
+        series_description = {k[:-9]: series_description[k[:-9]] for k in df.columns}
 
     # Mapping from column name to variable type
     series_description = sort_column_names(series_description, config.sort)

src/ydata_profiling/report/presentation/flavours/html/templates/alerts/alert_constant.html

@@ -1 +1 @@
-<a href="#pp_var_{{ alert.anchor_id }}"><code>{{ alert.column_name }}</code></a> has constant value "{{ alert.values['mode'] }}"
+<a href="#pp_var_{{ alert.anchor_id }}"><code>{{ alert.column_name }}</code></a> has constant value "{{ alert.values['value_counts_without_nan'].index[0] }}"