feat: initial release

Author: Pkcha

src/ydata_profiling/model/handler.py

@@ -60,4 +60,22 @@ def handle(self, dtype: str, *args, **kwargs) -> dict:
         return summary
 
 
+def get_render_map() -> Dict[str, Callable]:
+    import ydata_profiling.report.structure.variables as render_algorithms
 
+    render_map = {
+        "Boolean": render_algorithms.render_boolean,
+        "Numeric": render_algorithms.render_real,
+        "Complex": render_algorithms.render_complex,
+        "Text": render_algorithms.render_text,
+        "DateTime": render_algorithms.render_date,
+        "Categorical": render_algorithms.render_categorical,
+        "URL": render_algorithms.render_url,
+        "Path": render_algorithms.render_path,
+        "File": render_algorithms.render_file,
+        "Image": render_algorithms.render_image,
+        "Unsupported": render_algorithms.render_generic,
+        "TimeSeries": render_algorithms.render_timeseries,
+    }
+
+    return render_map

src/ydata_profiling/model/summarizer.py

@@ -27,7 +27,7 @@
 from ydata_profiling.model.pandas.describe_supported_pandas import (
     pandas_describe_supported,
 )
-from ydata_profiling.model.summary_algorithms import (
+from ydata_profiling.model.summary_algorithms import (  # Check what is this method used for
     describe_file_1d,
     describe_image_1d,
     describe_path_1d,
@@ -50,8 +50,9 @@ def summarize(
         return self.handle(str(dtype), config, series, {"type": str(dtype)})
 
 
+# Revisit this with the correct support for Spark as well.
 class ProfilingSummarizer(BaseSummarizer):
-    """A summarizer supporting both Pandas and Spark DataFrames."""
+    """A summarizer for Pandas DataFrames."""
 
     def __init__(self, typeset: VisionsTypeset, use_spark: bool = False):
         self.use_spark = use_spark and is_pyspark_installed()

src/ydata_profiling/report/structure/report.py

@@ -7,7 +7,7 @@
 from ydata_profiling.config import Settings
 from ydata_profiling.model import BaseDescription
 from ydata_profiling.model.alerts import AlertType
-from ydata_profiling.report.structure.variables import get_render_map
+from ydata_profiling.model.handler import get_render_map
 from ydata_profiling.report.presentation.core import (
     HTML,
     Collapse,

src/ydata_profiling/report/structure/variables/__init__.py

@@ -1,5 +1,3 @@
-from typing import Callable, Dict
-
 from ydata_profiling.report.structure.variables.render_boolean import render_boolean
 from ydata_profiling.report.structure.variables.render_categorical import (
     render_categorical,
@@ -19,26 +17,6 @@
 )
 from ydata_profiling.report.structure.variables.render_url import render_url
 
-
-def get_render_map() -> Dict[str, Callable]:
-    render_map = {
-        "Boolean": render_boolean,
-        "Numeric": render_real,
-        "Complex": render_complex,
-        "Text": render_text,
-        "DateTime": render_date,
-        "Categorical": render_categorical,
-        "URL": render_url,
-        "Path": render_path,
-        "File": render_file,
-        "Image": render_image,
-        "Unsupported": render_generic,
-        "TimeSeries": render_timeseries,
-    }
-
-    return render_map
-
-
 __all__ = [
     "render_boolean",
     "render_categorical",
@@ -54,5 +32,4 @@ def get_render_map() -> Dict[str, Callable]:
     "render_text",
     "render_timeseries",
     "render_url",
-    "get_render_map",
 ]