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lines changed Original file line number Diff line number Diff line change @@ -142,7 +142,6 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
142142 -i " pandas.infer_freq SA01" \
143143 -i " pandas.io.json.build_table_schema PR07,RT03,SA01" \
144144 -i " pandas.io.stata.StataWriter.write_file SA01" \
145- -i " pandas.json_normalize RT03,SA01" \
146145 -i " pandas.plotting.andrews_curves RT03,SA01" \
147146 -i " pandas.plotting.scatter_matrix PR07,SA01" \
148147 -i " pandas.set_eng_float_format RT03,SA01" \
Original file line number Diff line number Diff line change @@ -279,6 +279,10 @@ def json_normalize(
279279 """
280280 Normalize semi-structured JSON data into a flat table.
281281
282+ This method is designed to transform semi-structured JSON data, such as nested
283+ dictionaries or lists, into a flat table. This is particularly useful when
284+ handling JSON-like data structures that contain deeply nested fields.
285+
282286 Parameters
283287 ----------
284288 data : dict, list of dicts, or Series of dicts
@@ -310,8 +314,13 @@ def json_normalize(
310314
311315 Returns
312316 -------
313- frame : DataFrame
314- Normalize semi-structured JSON data into a flat table.
317+ DataFrame
318+ The normalized data, represented as a pandas DataFrame.
319+
320+ See Also
321+ --------
322+ DataFrame : Two-dimensional, size-mutable, potentially heterogeneous tabular data.
323+ Series : One-dimensional ndarray with axis labels (including time series).
315324
316325 Examples
317326 --------
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