Added Pandas Exp, Log, Sin, Cos, Tan nodes and updated Pandas DataFrame Summary node to output a DataFrame instead of a string. Added node reference pages.

modules/cda/cda_json_create.py

@@ -3,8 +3,10 @@ import json
 
 class CDAJSONCreate:
     """
-    CDAJSONCreate:
-        A class for creating a serialized JSON object using values entered in the text field.
+    CDA JSON Create:
+    Creates a serialized JSON object using values entered in the text field.
+
+    category: IO
     """
     
     @classmethod

modules/matplotlib/mpl_bar.py

@@ -7,8 +7,10 @@ from .util import plot_post_steps
 
 class MPLBar:
     """
-    MPLBar:
-        A class for generating bar charts from a pandas DataFrame.
+    MPL Bar Chart:
+        Generates a bar chart from a Pandas DataFrame.
+
+    category: Plot
     """
     
     @classmethod

modules/matplotlib/mpl_line.py

@@ -7,8 +7,10 @@ from .util import plot_post_steps
 
 class MPLLine:
     """
-    MPLPlotLine:
-        A class for generating line plots from a pandas DataFrame.
+    MPL Line Plot:
+        Generates a line plot from a pandas DataFrame.
+
+    category: Plot
     """
     
     @classmethod

modules/matplotlib/mpl_scatter.py

@@ -7,8 +7,10 @@ from .util import plot_post_steps
 
 class MPLScatter:
     """
-    MPLPlotScatter:
-        A class for generating scatter plots from a pandas DataFrame.
+    MPL Scatter Plot:
+        Generates a scatter plot from a pandas DataFrame.
+
+    category: Plot
     """
     
     @classmethod

modules/pandas_wrapper/pandas_add.py

@@ -4,8 +4,9 @@ import pandas as pd
 
 class PandasAdd:
     """
-    PandasAdd:
-        A class for adding two pandas DataFrames.
+    Adds two pandas DataFrames.
+
+    category: Arithmetic method
     """
     
     @classmethod

modules/pandas_wrapper/pandas_add_series.py

@@ -3,8 +3,9 @@ import pandas as pd
 
 class PandasAddSeries:
     """
-    PandasAdd:
-        A class for adding a Pandas Series to a pandas DataFrames.
+    Adds a Pandas Series to a pandas DataFrames.
+
+    category: Arithmetic method
     """
     
     @classmethod

modules/pandas_wrapper/pandas_as_float.py

@@ -5,8 +5,9 @@ import pandas as pd
 
 class PandasAsFloat:
     """
-    PandasAsFloat:
-        A class for converting all cells in a pandas DataFrame to float type.
+    Converts all cells in a pandas DataFrame to float type.
+
+    category: Data type conversion
     """
     
     @classmethod

modules/pandas_wrapper/pandas_as_int.py

@@ -5,8 +5,9 @@ import pandas as pd
 
 class PandasAsInt:
     """
-    PandasAsInt:
-        A class for converting all cells in a pandas DataFrame to integer type.
+    Converts all cells in a pandas DataFrame to integer type.
+
+    category: Data type conversion
     """
     
     @classmethod

modules/pandas_wrapper/pandas_as_string.py

@@ -4,8 +4,9 @@ import pandas as pd
 
 class PandasAsString:
     """
-    PandasAsString:
-        A class for converting all cells in a pandas DataFrame to string type.
+    Converts all cells in a pandas DataFrame to string type.
+    
+    category: Data type conversion
     """
     
     @classmethod

modules/pandas_wrapper/pandas_columns.py

@@ -4,8 +4,9 @@ import pandas as pd
 
 class PandasColumns:
     """
-    PandasColumns:
-        A class for retrieving the column labels of a pandas DataFrame.
+    Retrieves the column labels of a pandas DataFrame.
+
+    category: DataFrame information
     """
 
     @classmethod

modules/pandas_wrapper/pandas_cos.py

@@ -0,0 +1,46 @@
+from typing import Any, Dict
+import pandas as pd
+import numpy as np
+
+
+class PandasCos:
+    """
+    Apply the cosine function to a pandas DataFrame and converting non-numeric values to NaN.
+
+    category: Math
+    """
+    
+    @classmethod
+    def INPUT_TYPES(cls) -> Dict[str, Any]:
+        """
+        Defines the input types for the function.
+
+        Returns:
+            Dict[str, Any]: A dictionary specifying required input types.
+        """
+        return {
+            "required": {
+                "dataframe": ("DATAFRAME", {})
+            }
+        }
+
+    RETURN_TYPES: tuple = ("DATAFRAME",)
+    FUNCTION: str = "f"
+    CATEGORY: str = "Data Analysis"
+
+    def f(self, dataframe: pd.DataFrame) -> tuple:
+        """
+        Converts non-numeric values to NaN and applies the cosine function to the DataFrame.
+
+        The cosine function returns the ratio of the adjacent side to the hypotenuse in a right triangle,
+        or equivalently, the x-coordinate of a point on the unit circle.
+
+        Args:
+            dataframe (DataFrame): The DataFrame.
+
+        Returns:
+            tuple: A tuple containing the processed DataFrame.
+        """
+        dataframe = dataframe.apply(pd.to_numeric, errors='coerce')
+        dataframe = np.cos(dataframe)
+        return (dataframe,)

modules/pandas_wrapper/pandas_count.py

@@ -5,8 +5,9 @@ from .utils import series_to_jsons
 
 class PandasCount:
     """
-    PandasCount:
-        A class for computing the count of a pandas DataFrame.
+    Computes the count of a pandas DataFrame.
+
+    category: Summary statistics
     """
     
     @classmethod

modules/pandas_wrapper/pandas_create.py

@@ -5,8 +5,9 @@ import pandas as pd
 
 class PandasCreate:
     """
-    PandasCreate:
-        A class for creating a pandas DataFrame using values entered in the text field.
+    Creates a pandas DataFrame using values entered in the text field.
+
+    category: IO
     """
     
     @classmethod

modules/pandas_wrapper/pandas_create_with_index.py

@@ -5,9 +5,9 @@ import pandas as pd
 
 class PandasCreateWithIndex:
     """
-    PandasCreateWithIndex:
-        A class for creating a pandas DataFrame using values entered in the text field.
-        Input data is assume to have an index.
+    Creates a pandas DataFrame using values entered in the text field. Input data is assumed to have an index.
+
+    category: IO
     """
     
     @classmethod

modules/pandas_wrapper/pandas_div.py

@@ -5,8 +5,9 @@ import pandas as pd
 
 class PandasDiv:
     """
-    PandasDiv:
-        A class for dividing two pandas DataFrames.
+    Divides two pandas DataFrames.
+
+    category: Arithmetic method
     """
     
     @classmethod

modules/pandas_wrapper/pandas_div_series.py

@@ -5,8 +5,9 @@ from .utils import jsons_to_series
 
 class PandasDivSeries:
     """
-    PandasDivSeries:
-        A class for dividing a Pandas DataFrame by a Pandas Series.
+    Divides a Pandas DataFrame by a Pandas Series.
+
+    category: Arithmetic method
     """
     
     @classmethod

modules/pandas_wrapper/pandas_dropna.py

@@ -3,8 +3,10 @@ import pandas as pd
 
 class PandasDropNA:
     """
-    PandasColumns:
-        A class for droping missing values from a pandas DataFrame.
+    Pandas Drop NA:
+    Drops missing values from a pandas DataFrame.
+
+    category: Data cleansing
     """
     
     @classmethod

modules/pandas_wrapper/pandas_exp.py

@@ -0,0 +1,43 @@
+from typing import Any, Dict
+import pandas as pd
+import numpy as np
+
+
+class PandasExp:
+    """
+    Apply the exponential function to a pandas DataFrame and converting non-numeric values to NaN.
+    
+    category: Math
+    """
+    
+    @classmethod
+    def INPUT_TYPES(cls) -> Dict[str, Any]:
+        """
+        Defines the input types for the function.
+
+        Returns:
+            Dict[str, Any]: A dictionary specifying required input types.
+        """
+        return {
+            "required": {
+                "dataframe": ("DATAFRAME", {})
+            }
+        }
+
+    RETURN_TYPES: tuple = ("DATAFRAME",)
+    FUNCTION: str = "f"
+    CATEGORY: str = "Data Analysis"
+
+    def f(self, dataframe: pd.DataFrame) -> tuple:
+        """
+        Converts non-numeric values to NaN and applies the exponential function to the DataFrame.
+
+        Args:
+            dataframe (DataFrame): The DataFrame.
+
+        Returns:
+            tuple: A tuple containing the processed DataFrame.
+        """
+        dataframe = dataframe.apply(pd.to_numeric, errors='coerce')
+        dataframe = np.exp(dataframe)
+        return (dataframe,)

modules/pandas_wrapper/pandas_group_by.py

@@ -5,8 +5,9 @@ import pandas as pd
 
 class PandasGroupBy:
     """
-    PandasGroupBy:
-        A class for computing aggregate values for groups in a DataFrame.
+    Computes aggregate values for groups in a DataFrame.
+
+    category: Aggregation
     """
     
     @classmethod

modules/pandas_wrapper/pandas_head.py

@@ -5,8 +5,9 @@ import pandas as pd
 
 class PandasHead:
     """
-    PandasHead:
-        A class for retrieving the first few rows of a pandas DataFrame.
+    Retrieves the first few rows of a pandas DataFrame.
+
+    category: Data subset selection
     """
     
     @classmethod

modules/pandas_wrapper/pandas_horizontal_concat.py

@@ -4,8 +4,9 @@ import pandas as pd
 
 class PandasHorizontalConcat:
     """
-    PandasHorizontalConcat:
-        A class for horizontally concatenating two pandas DataFrames.
+    Horizontally concatenates two pandas DataFrames.
+
+    category: Transformation
     """
     
     @classmethod

modules/pandas_wrapper/pandas_iloc_row_series.py

@@ -5,10 +5,11 @@ from .utils import series_to_jsons
 
 class PandasIlocRowSeries:
     """
-    PandasLocRowSeries:
-        A class for selecting a row from a pandas DataFrame and returning it as a Series.
-        The row is specified by its integer position, similar to an index in other software.
-        Note: In Pandas, "index" refers to a unique label assigned to each row. See https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.iloc.html
+    Selects a row from a pandas DataFrame and returning it as a Series.
+    The row is specified by its integer position, similar to an index in other software.
+    Note: In Pandas, "index" refers to a unique label assigned to each row. See https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.iloc.html
+
+    category: Data subset selection
     """
 
     @classmethod

modules/pandas_wrapper/pandas_iloc_rows_dataframe.py

@@ -6,9 +6,10 @@ from .utils import series_to_jsons
 
 class PandasIlocRowsDataFrame:
     """
-    PandasIlocRowsDataFrame:
-        A class for selecting rows from a pandas DataFrame and returning it as a DataFrame.
-        Rows are specified by the list of integer positions.
+    Selects rows from a pandas DataFrame and returning it as a DataFrame.
+    Rows are specified by the list of integer positions.
+
+    category: Data subset selection
     """
 
     @classmethod

modules/pandas_wrapper/pandas_index.py

@@ -3,8 +3,9 @@ import pandas as pd
 
 class PandasIndex:
     """
-    PandasColumns:
-        A class for retrieving the row labels (index) of a pandas DataFrame.
+    Retrieves the row labels (index) of a pandas DataFrame.
+
+    category: DataFrame information
     """
     
     @classmethod

modules/pandas_wrapper/pandas_index_to_string.py

@@ -4,8 +4,9 @@ import pandas as pd
 
 class PandasIndexToString:
     """
-    PandasIndexToString:
-        A class for converting a pandas Index to a string representation.
+    Converts a pandas Index to a string representation.
+
+    category: Display data
     """
     
     @classmethod

modules/pandas_wrapper/pandas_isna.py

@@ -4,8 +4,10 @@ import pandas as pd
 
 class PandasIsNA:
     """
-    PandasColumns:
-        A class for checking a pandas DataFrame for missing values.
+    Pandas Is NA:
+    Checks a pandas DataFrame for missing values.
+
+    category: Data cleansing
     """
     
     @classmethod

modules/pandas_wrapper/pandas_join.py

@@ -5,8 +5,9 @@ import pandas as pd
 
 class PandasJoin:
     """
-    PandasJoin:
-        A class for merging two pandas DataFrames based on a common column.
+    Merges two pandas DataFrames based on a common column.
+
+    category: Transformation
     """
     
     @classmethod

modules/pandas_wrapper/pandas_load_csv.py

@@ -5,8 +5,10 @@ import pandas as pd
 
 class PandasLoadCSV:
     """
-    PandasLoadCSV:
-        A class for loading CSV files into a pandas DataFrame.
+    Pandas Load CSV:
+    Loads CSV files into a pandas DataFrame.
+
+    category: IO
     """
     
     @classmethod

modules/pandas_wrapper/pandas_load_csv_with_encoding.py

@@ -5,8 +5,10 @@ import pandas as pd
 
 class PandasLoadCSVWithEncoding:
     """
-    PandasLoadCSVWithEncoding:
-        A class for loading CSV files into a pandas DataFrame.
+    Pandas Load CSV With Encoding:
+    Loads CSV files into a pandas DataFrame.
+
+    category: IO
     """
     
     @classmethod

modules/pandas_wrapper/pandas_load_csv_with_index.py

@@ -5,9 +5,11 @@ import pandas as pd
 
 class PandasLoadCSVWithIndex:
     """
-    PandasLoadCSV:
-        A class for loading CSV files into a pandas DataFrame.
-        Input data is assume to have an index.
+    Pandas Load CSV With Index:
+    Loads CSV files into a pandas DataFrame.
+    Input data is assume to have an index.
+
+    category: IO
     """
     
     @classmethod

modules/pandas_wrapper/pandas_load_json.py

@@ -5,8 +5,10 @@ import pandas as pd
 
 class PandasLoadJSON:
     """
-    PandasLoadJSON:
-        A class for loading JSON files into a pandas DataFrame.
+    Pandas Load JSON:
+    Loads JSON files into a pandas DataFrame.
+
+    category: IO
     """
     
     @classmethod

modules/pandas_wrapper/pandas_loc_cell_str.py

@@ -4,8 +4,9 @@ import pandas as pd
 
 class PandasLocCellStr:
     """
-    PandasLocCellStr:
-        A class for selecting a cell from a pandas DataFrame and output as a string.
+    Selects a cell from a pandas DataFrame and output as a string.
+
+    category: Data subset selection
     """
     
     @classmethod

modules/pandas_wrapper/pandas_loc_row_series.py

@@ -5,8 +5,9 @@ from .utils import series_to_jsons
 
 class PandasLocRowSeries:
     """
-    PandasLocRowSeries:
-        A class for selecting a row from a pandas DataFrame and output as a Series.
+    Selects a row from a pandas DataFrame and output as a Series.
+
+    category: Data subset selection
     """
     
     @classmethod

modules/pandas_wrapper/pandas_log.py

@@ -0,0 +1,43 @@
+from typing import Any, Dict
+import pandas as pd
+import numpy as np
+
+
+class PandasLog:
+    """
+    Applying the natural logarithm function to a pandas DataFrame and converting non-numeric values to NaN.
+    
+    category: Math
+    """
+    
+    @classmethod
+    def INPUT_TYPES(cls) -> Dict[str, Any]:
+        """
+        Defines the input types for the function.
+
+        Returns:
+            Dict[str, Any]: A dictionary specifying required input types.
+        """
+        return {
+            "required": {
+                "dataframe": ("DATAFRAME", {})
+            }
+        }
+
+    RETURN_TYPES: tuple = ("DATAFRAME",)
+    FUNCTION: str = "f"
+    CATEGORY: str = "Data Analysis"
+
+    def f(self, dataframe: pd.DataFrame) -> tuple:
+        """
+        Converts non-numeric values to NaN and applies the natural logarithm function to the DataFrame.
+
+        Args:
+            dataframe (DataFrame): The DataFrame.
+
+        Returns:
+            tuple: A tuple containing the processed DataFrame.
+        """
+        dataframe = dataframe.apply(pd.to_numeric, errors='coerce')
+        dataframe = np.log(dataframe)
+        return (dataframe,)

modules/pandas_wrapper/pandas_max.py

@@ -5,8 +5,9 @@ from .utils import series_to_jsons
 
 class PandasMax:
     """
-    PandasMin:
-        A class for computing the max of a pandas DataFrame.
+    Computes the max of a pandas DataFrame.
+
+    category: Summary statistics
     """
     
     @classmethod

modules/pandas_wrapper/pandas_mean.py

@@ -5,8 +5,9 @@ from .utils import series_to_jsons
 
 class PandasMean:
     """
-    PandasMin:
-        A class for computing the mean of a pandas DataFrame.
+    Computes the mean of a pandas DataFrame.
+
+    category: Summary statistics
     """
     
     @classmethod

modules/pandas_wrapper/pandas_median.py

@@ -5,8 +5,9 @@ from .utils import series_to_jsons
 
 class PandasMedian:
     """
-    PandasMin:
-        A class for computing the median of a pandas DataFrame.
+    Computes the median of a pandas DataFrame.
+
+    category: Summary statistics
     """
     
     @classmethod

modules/pandas_wrapper/pandas_min.py

@@ -5,8 +5,9 @@ from .utils import series_to_jsons
 
 class PandasMin:
     """
-    PandasMin:
-        A class for computing the min of a pandas DataFrame.
+    Computes the min of a pandas DataFrame.
+
+    category: Summary statistics
     """
     
     @classmethod

modules/pandas_wrapper/pandas_mode.py

@@ -4,8 +4,9 @@ import pandas as pd
 
 class PandasMode:
     """
-    PandasMode:
-        A class for computing the mode of a pandas DataFrame.
+    Computes the mode of a pandas DataFrame.
+
+    category: Summary statistics
     """
     
     @classmethod

modules/pandas_wrapper/pandas_mul.py

@@ -5,8 +5,9 @@ import pandas as pd
 
 class PandasMul:
     """
-    PandasMul:
-        A class for multiplying two pandas DataFrames.
+    Multiplies two pandas DataFrames.
+
+    category: Arithmetic method
     """
     
     @classmethod

modules/pandas_wrapper/pandas_mul_series.py

@@ -5,8 +5,9 @@ from .utils import jsons_to_series
 
 class PandasMulSeries:
     """
-    PandasMulSeries:
-        A class for multiplying a Pandas DataFrame by a Pandas Series.
+    Multiplies a Pandas DataFrame by a Pandas Series.
+
+    category: Arithmetic method
     """
     
     @classmethod

modules/pandas_wrapper/pandas_pow.py

@@ -5,8 +5,9 @@ import pandas as pd
 
 class PandasPow:
     """
-    PandasPow:
-        A class for exponentiating two pandas DataFrames.
+    Exponentiates two pandas DataFrames.
+
+    category: Arithmetic method
     """
     
     @classmethod

modules/pandas_wrapper/pandas_pow_series.py

@@ -5,8 +5,9 @@ from .utils import jsons_to_series
 
 class PandasPowSeries:
     """
-    PandasPowSeries:
-        A class for raising a Pandas DataFrame to the power of a Pandas Series.
+    Raises a Pandas DataFrame to the power of a Pandas Series.
+
+    category: Arithmetic method
     """
     
     @classmethod

modules/pandas_wrapper/pandas_save_csv.py

@@ -10,8 +10,10 @@ import pandas as pd
 
 class PandasSaveCSV:
     """
-    PandasSaveCSV:
-        A class for saving a PandasDataFrame to a CSV file.
+    Pandas Save CSV:
+    Saves a PandasDataFrame to a CSV file.
+
+    category: IO
     """
     @classmethod
     def INPUT_TYPES(s):

modules/pandas_wrapper/pandas_save_json.py

@@ -10,8 +10,10 @@ import pandas as pd
 
 class PandasSaveJSON:
     """
-    PandasSaveJSON:
-        A class for saving a PandasDataFrame to a JSON file.
+    Pandas Save JSON:
+    Saves a PandasDataFrame to a JSON file.
+
+    category: IO
     """
     @classmethod
     def INPUT_TYPES(s):

modules/pandas_wrapper/pandas_select_columns.py

@@ -4,8 +4,9 @@ import pandas as pd
 
 class PandasSelectColumns:
     """
-    PandasSelectColumns:
-        A class for selecting specific columns from a pandas DataFrame.
+    Selects specific columns from a pandas DataFrame.
+
+    category: Data subset selection
     """
     
     @classmethod

modules/pandas_wrapper/pandas_select_rows.py

@@ -4,8 +4,9 @@ import pandas as pd
 
 class PandasSelectRows:
     """
-    PandasSelectRows:
-        A class for selecting specific rows from a pandas DataFrame based on a condition.
+    Selects specific rows from a pandas DataFrame based on a condition.
+
+    category: Data subset selection
     """
     
     @classmethod

modules/pandas_wrapper/pandas_series_to_string.py

@@ -5,8 +5,9 @@ from .utils import jsons_to_series
 
 class PandasSeriesToString:
     """
-    PandasSeriesToString:
-        A class for converting a pandas Series to a string representation.
+    Converts a pandas Series to a string representation.
+
+    category: Display data
     """
     
     @classmethod

modules/pandas_wrapper/pandas_show_dataframe.py

@@ -8,6 +8,11 @@ from io import StringIO
 import pandas as pd
 
 class PandasShowDataFrame:
+    """
+    Displays a Pandas DataFrame as text.
+
+    category: Display data
+    """
     @classmethod
     def INPUT_TYPES(s):
         return {

modules/pandas_wrapper/pandas_show_index.py

@@ -7,6 +7,11 @@ See credit/credit.md for the full license.
 import pandas as pd
 
 class PandasShowIndex:
+    """
+    Displays a Pandas Index as text.
+
+    category: Display data
+    """
     @classmethod
     def INPUT_TYPES(s):
         return {

modules/pandas_wrapper/pandas_show_series.py

@@ -10,6 +10,11 @@ from .utils import series_to_jsons
 from .utils import jsons_to_series
 
 class PandasShowSeries:
+    """
+    Displays a Pandas Series as text.
+
+    category: Display data
+    """
     @classmethod
     def INPUT_TYPES(s):
         return {

modules/pandas_wrapper/pandas_show_text.py

@@ -6,6 +6,11 @@ See credit/credit.md for the full license.
 """
 
 class PandasShowText:
+    """
+    Displays a string.
+
+    category: Display data
+    """
     @classmethod
     def INPUT_TYPES(s):
         return {

modules/pandas_wrapper/pandas_sin.py

@@ -0,0 +1,46 @@
+from typing import Any, Dict
+import pandas as pd
+import numpy as np
+
+
+class PandasSin:
+    """
+    Applies the sine function to a pandas DataFrame and converting non-numeric values to NaN.
+    
+    category: Math
+    """
+    
+    @classmethod
+    def INPUT_TYPES(cls) -> Dict[str, Any]:
+        """
+        Defines the input types for the function.
+
+        Returns:
+            Dict[str, Any]: A dictionary specifying required input types.
+        """
+        return {
+            "required": {
+                "dataframe": ("DATAFRAME", {})
+            }
+        }
+
+    RETURN_TYPES: tuple = ("DATAFRAME",)
+    FUNCTION: str = "f"
+    CATEGORY: str = "Data Analysis"
+
+    def f(self, dataframe: pd.DataFrame) -> tuple:
+        """
+        Converts non-numeric values to NaN and applies the sine function to the DataFrame.
+
+        The sine function returns the ratio of the opposite side to the hypotenuse in a right triangle,
+        or equivalently, the y-coordinate of a point on the unit circle.
+
+        Args:
+            dataframe (DataFrame): The DataFrame.
+
+        Returns:
+            tuple: A tuple containing the processed DataFrame.
+        """
+        dataframe = dataframe.apply(pd.to_numeric, errors='coerce')
+        dataframe = np.sin(dataframe)
+        return (dataframe,)

modules/pandas_wrapper/pandas_sort.py

@@ -4,8 +4,9 @@ import pandas as pd
 
 class PandasSort:
     """
-    PandasSort:
-        A class for sorting a pandas DataFrame by a specified column.
+    Sorts a pandas DataFrame by a specified column.
+
+    category: Transformation
     """
     
     @classmethod

modules/pandas_wrapper/pandas_std.py

@@ -5,8 +5,9 @@ from .utils import series_to_jsons
 
 class PandasStd:
     """
-    PandasStd:
-        A class for computing the standard deviation of a pandas DataFrame.
+    Computes the standard deviation of a pandas DataFrame.
+
+    category: Summary statistics
     """
     
     @classmethod

modules/pandas_wrapper/pandas_sub.py

@@ -5,8 +5,9 @@ import pandas as pd
 
 class PandasSub:
     """
-    PandasSub:
-        A class for subtracting two pandas DataFrames.
+    Subtracts a Pandas DataFrame from another DataFrame.
+
+    category: Arithmetic method
     """
     
     @classmethod
@@ -30,7 +31,7 @@ class PandasSub:
 
     def f(self, a_dataframe: pd.DataFrame, b_dataframe: pd.DataFrame) -> tuple:
         """
-        Subtract two pandas DataFrames.
+        Subtracts a Pandas DataFrame from another DataFrame.
 
         Args:
             a_dataframe (DataFrame): The left DataFrame.

modules/pandas_wrapper/pandas_sub_series.py

@@ -5,8 +5,9 @@ from .utils import jsons_to_series
 
 class PandasSubSeries:
     """
-    PandasSubSeries:
-        A class for subtracting a Pandas Series from a Pandas DataFrame.
+    Subtracts a Pandas Series from a Pandas DataFrame.
+
+    category: Arithmetic method
     """
     
     @classmethod

modules/pandas_wrapper/pandas_sum.py

@@ -5,8 +5,9 @@ from .utils import series_to_jsons
 
 class PandasSum:
     """
-    PandasSum:
-        A class for computing the sum of a pandas DataFrame.
+    Computes the sum of a pandas DataFrame.
+
+    category: Summary statistics
     """
     
     @classmethod

modules/pandas_wrapper/pandas_summary.py

@@ -4,8 +4,9 @@ import pandas as pd
 
 class PandasSummary:
     """
-    PandasSummary:
-        A class for analyzing and summarizing a pandas DataFrame.
+    Analyzes and summarizes a pandas DataFrame.
+
+    category: Summary statistics
     """
     
     @classmethod
@@ -34,7 +35,7 @@ class PandasSummary:
             dataframe (DataFrame): The DataFrame.
 
         Returns:
-            tuple: A tuple containing a string representation of the DataFrame summary.
+            tuple: A tuple containing the DataFrame summary.
         """
         summary = dataframe.describe()
-        return (str(summary),)
+        return (summary,)

modules/pandas_wrapper/pandas_tan.py

@@ -0,0 +1,46 @@
+from typing import Any, Dict
+import pandas as pd
+import numpy as np
+
+
+class PandasTan:
+    """
+    Applies the tangent function to a pandas DataFrame and converting non-numeric values to NaN.
+    
+    category: Math
+    """
+    
+    @classmethod
+    def INPUT_TYPES(cls) -> Dict[str, Any]:
+        """
+        Defines the input types for the function.
+
+        Returns:
+            Dict[str, Any]: A dictionary specifying required input types.
+        """
+        return {
+            "required": {
+                "dataframe": ("DATAFRAME", {})
+            }
+        }
+
+    RETURN_TYPES: tuple = ("DATAFRAME",)
+    FUNCTION: str = "f"
+    CATEGORY: str = "Data Analysis"
+
+    def f(self, dataframe: pd.DataFrame) -> tuple:
+        """
+        Converts non-numeric values to NaN and applies the tangent function to the DataFrame.
+
+        The tangent function is the ratio of the sine to the cosine, representing the slope of a line
+        from the origin to a point on the unit circle.
+
+        Args:
+            dataframe (DataFrame): The DataFrame.
+
+        Returns:
+            tuple: A tuple containing the processed DataFrame.
+        """
+        dataframe = dataframe.apply(pd.to_numeric, errors='coerce')
+        dataframe = np.tan(dataframe)
+        return (dataframe,)

modules/pandas_wrapper/pandas_to_string.py

@@ -4,8 +4,9 @@ import pandas as pd
 
 class PandasToString:
     """
-    PandasToString:
-        A class for converting a pandas DataFrame to a string representation.
+    Converts a pandas DataFrame to a string representation.
+
+    category: Display data
     """
     
     @classmethod

modules/pandas_wrapper/pandas_var.py

@@ -5,8 +5,9 @@ from .utils import series_to_jsons
 
 class PandasVar:
     """
-    PandasVar:
-        A class for computing the variance of a pandas DataFrame.
+    Computes the variance of a pandas DataFrame.
+ 
+    category: Summary statistics
     """
     
     @classmethod

modules/pandas_wrapper/pandas_vertical_concat.py

@@ -4,8 +4,9 @@ import pandas as pd
 
 class PandasVerticalConcat:
     """
-    PandasVerticalConcat:
-        A class for vertically concatenating two pandas DataFrames.
+    Vertically concatenates two pandas DataFrames.
+
+    category: Transformation
     """
     
     @classmethod

modules/pandas_wrapper/utils.py

@@ -69,6 +69,8 @@ class NpEncoder(json.JSONEncoder):
     Source: https://stackoverflow.com/questions/50916422/python-typeerror-object-of-type-int64-is-not-json-serializable
     Author: Jie Yang, Tommy
     Licensed under CC BY-SA 4.0 (https://creativecommons.org/licenses/by-sa/4.0/)
+
+    pragma: skip_doc
     """
     def default(self, obj):
         if isinstance(obj, np.integer):