diff --git a/__init__.py b/__init__.py index afab70e..12577cc 100644 --- a/__init__.py +++ b/__init__.py @@ -47,6 +47,7 @@ from .modules.pandas_wrapper.pandas_index import PandasIndex from .modules.pandas_wrapper.pandas_index_to_string import PandasIndexToString from .modules.pandas_wrapper.pandas_isna import PandasIsNA from .modules.pandas_wrapper.pandas_join import PandasJoin +from .modules.pandas_wrapper.pandas_kurtosis import PandasKurtosis from .modules.pandas_wrapper.pandas_load_csv import PandasLoadCSV from .modules.pandas_wrapper.pandas_load_csv_with_encoding import PandasLoadCSVWithEncoding from .modules.pandas_wrapper.pandas_load_csv_with_index import PandasLoadCSVWithIndex @@ -83,6 +84,7 @@ from .modules.pandas_wrapper.pandas_show_index import PandasShowIndex from .modules.pandas_wrapper.pandas_show_series import PandasShowSeries from .modules.pandas_wrapper.pandas_show_text import PandasShowText from .modules.pandas_wrapper.pandas_sin import PandasSin +from .modules.pandas_wrapper.pandas_skew import PandasSkew from .modules.pandas_wrapper.pandas_sort import PandasSort from .modules.pandas_wrapper.pandas_std import PandasStd from .modules.pandas_wrapper.pandas_sub import PandasSub @@ -154,6 +156,7 @@ NODE_CLASS_MAPPINGS: Dict[str, Type[T]] = { "PandasIndexToString": PandasIndexToString, "PandasIsNA": PandasIsNA, "PandasJoin": PandasJoin, + "PandasKurtosis": PandasKurtosis, "PandasLoadCSV": PandasLoadCSV, "PandasLoadCSVWithEncoding": PandasLoadCSVWithEncoding, "PandasLoadCSVWithIndex": PandasLoadCSVWithIndex, @@ -190,6 +193,7 @@ NODE_CLASS_MAPPINGS: Dict[str, Type[T]] = { "PandasShowSeries": PandasShowSeries, "PandasShowText": PandasShowText, "PandasSin": PandasSin, + "PandasSkew": PandasSkew, "PandasSort": PandasSort, "PandasStd": PandasStd, "PandasSub": PandasSub, @@ -261,6 +265,7 @@ NODE_DISPLAY_NAME_MAPPINGS: Dict[str, str] = { "PandasIndexToString": "Pandas Index To String", "PandasIsNA": "Pandas Is NA", "PandasJoin": "Pandas Join", + "PandasKurtosis": "Pandas Kurtosis", "PandasLoadCSV": "Pandas Load CSV", "PandasLoadCSVWithEncoding": "Pandas Load CSV With Encoding", "PandasLoadCSVWithIndex": "Pandas Load CSV With Index", @@ -297,6 +302,7 @@ NODE_DISPLAY_NAME_MAPPINGS: Dict[str, str] = { "PandasShowSeries": "Pandas Show Series", "PandasShowText": "Pandas Show Text", "PandasSin": "Pandas Sin", + "PandasSkew": "Pandas Skew", "PandasSort": "Pandas Sort", "PandasStd": "Pandas Std", "PandasSub": "Pandas Sub", diff --git a/docs/reference/node_reference.md b/docs/reference/node_reference.md index 38f9dee..cf77a7e 100644 --- a/docs/reference/node_reference.md +++ b/docs/reference/node_reference.md @@ -114,11 +114,13 @@ | [Pandas Corr](pandas_corr.md) | Computes the correlation of the DataFrame. You can select from the Pearson, Kendall or Spearman methods. | | [Pandas Count](pandas_count.md) | Computes the count of a pandas DataFrame. | | [Pandas Cov](pandas_cov.md) | Computes the covariance of the DataFrame. | +| [Pandas Kurtosis](pandas_kurtosis.md) | Computes the unbiased kurtosis of the DataFrame. | | [Pandas Max](pandas_max.md) | Computes the max of a pandas DataFrame. | | [Pandas Mean](pandas_mean.md) | Computes the mean of a pandas DataFrame. | | [Pandas Median](pandas_median.md) | Computes the median of a pandas DataFrame. | | [Pandas Min](pandas_min.md) | Computes the min of a pandas DataFrame. | | [Pandas Mode](pandas_mode.md) | Computes the mode of a pandas DataFrame. | +| [Pandas Skew](pandas_skew.md) | Computes the unbiased skewness of the DataFrame. | | [Pandas Std](pandas_std.md) | Computes the standard deviation of a pandas DataFrame. | | [Pandas Sum](pandas_sum.md) | Computes the sum of a pandas DataFrame. | | [Pandas Summary](pandas_summary.md) | Analyzes and summarizes a pandas DataFrame. | diff --git a/docs/reference/pandas_kurtosis.md b/docs/reference/pandas_kurtosis.md new file mode 100644 index 0000000..660fefb --- /dev/null +++ b/docs/reference/pandas_kurtosis.md @@ -0,0 +1,22 @@ +# Pandas Kurtosis +Computes the unbiased kurtosis of the DataFrame. + +This method returns the excess kurtosis rather than the raw kurtosis. +Excess kurtosis is calculated by subtracting 3 from the raw kurtosis, +which offsets it relative to the kurtosis of a normal distribution. + +## Input +| Name | Data type | +|---|---| +| dataframe | DataFrame | +| axis | | + +## Output +| Data type | +|---| +| DataFrame | + +
+Category: Summary statistics + +ComfyUI Data Analysis Node Reference. © 2025 Hide Inada (HowToSD.com). All rights reserved. diff --git a/docs/reference/pandas_skew.md b/docs/reference/pandas_skew.md new file mode 100644 index 0000000..ccf91c5 --- /dev/null +++ b/docs/reference/pandas_skew.md @@ -0,0 +1,18 @@ +# Pandas Skew +Computes the unbiased skewness of the DataFrame. + +## Input +| Name | Data type | +|---|---| +| dataframe | DataFrame | +| axis | | + +## Output +| Data type | +|---| +| DataFrame | + +
+Category: Summary statistics + +ComfyUI Data Analysis Node Reference. © 2025 Hide Inada (HowToSD.com). All rights reserved. diff --git a/examples/datasets/random_data.csv b/examples/datasets/random_data.csv new file mode 100644 index 0000000..5622550 --- /dev/null +++ b/examples/datasets/random_data.csv @@ -0,0 +1,101 @@ +A,B,C,D +0.4967141530112327,162.92314628974793,0.6788936801741416,0.2820345725713065 +-0.13826430117118466,167.8967733861732,0.7803922631841171,0.17743954377972282 +0.6476885381006925,168.28642741736616,1.0415256215876385,0.7506147516408583 +1.5230298564080254,165.98861365389192,1.0269010260174514,0.806834739267264 +-0.23415337472333597,169.19357144166995,-0.18883468397854553,0.9905051420006733 +-0.23413695694918055,172.02025428407268,0.03108748004243861,0.4126176769114265 +1.5792128155073915,179.43092950605265,0.7575176336043299,0.37201808579278317 +0.7674347291529088,170.87288906415918,0.7568929754561045,0.7764129607419968 +-0.4694743859349521,171.28775195361382,0.757523843153024,0.34080354025301784 +0.5425600435859647,169.62777042116917,2.4263657453273604,0.9307573256035647 +-0.46341769281246226,160.4061439235048,0.7854452553465835,0.8584127518430118 +-0.46572975357025687,169.86743062275391,1.0677828200902995,0.42899402737501835 +0.24196227156603412,170.30115104970514,0.9770008817466012,0.7508710677914974 +-1.913280244657798,182.31621056242642,0.825695625652899,0.7545428740846823 +-1.7249178325130328,169.03819517609438,0.3423653776798272,0.10312386883593261 +-0.5622875292409727,171.50773671166806,0.8794846102466337,0.9025529066795667 +-1.0128311203344238,169.82644115147377,0.1135873927312141,0.5052523724478571 +0.3142473325952739,164.15660981190234,0.38159069662999556,0.8264574661077416 +-0.9080240755212109,175.71411407257511,0.2573182260854483,0.32004960103061175 +-1.4123037013352915,173.75966516343388,0.5409370696931612,0.8955232284962005 +1.465648768921554,173.95515973521523,1.6573292833367543,0.3892016787341631 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+0.3571125715117464,165.7142122179186,0.8310653372605233,0.8685991281894603 +1.477894044741516,164.64553750969444,1.293008408072676,0.22359583851945264 +-0.5182702182736474,172.4123620762159,-0.11890774941342452,0.9632225394406113 +-0.8084936028931876,168.88268607337073,1.5665166873281333,0.012154474689816341 +-0.5017570435845365,173.57000247046045,-0.47604389976125094,0.969878826707639 +0.9154021177020741,172.36618812286773,0.4241074524822083,0.04315991195057611 +0.32875110965968446,169.63585543671564,0.7941586032422883,0.8911431136980711 +-0.5297602037670388,165.76603140965798,0.6404959338675164,0.5277011090862999 +0.5132674331133561,162.42576387657067,0.1886502400897031,0.9929647961193003 +0.09707754934804039,167.7674252396649,0.39593887482136236,0.07379656473539886 +0.9686449905328892,174.28199397161737,0.25349953267058356,0.5538542844013208 +-0.7020530938773524,171.070468720651,0.20531762152789423,0.969302535619099 +-0.3276621465977682,163.77130610644005,0.9248010485105123,0.5230978441701488 +-0.39210815313215763,170.8659046292559,0.6785077429825237,0.6293986381352625 +-1.4635149481321186,171.9265868986442,0.1535452023696729,0.6957486889846172 +0.29612027706457605,165.58071281899433,0.9497999377166253,0.45454106476777323 +0.26105527217988933,170.76862552972764,0.6536497604383047,0.6275580800840634 +0.00511345664246089,170.29104359223,0.90643105941948,0.5843143119231002 +-0.23458713337514692,164.28514851084688,0.8148144209618061,0.901158010490989 diff --git a/modules/pandas_wrapper/pandas_create.py b/modules/pandas_wrapper/pandas_create.py index 2f2e310..ae3bb79 100644 --- a/modules/pandas_wrapper/pandas_create.py +++ b/modules/pandas_wrapper/pandas_create.py @@ -30,13 +30,13 @@ class PandasCreate: def create(self, data: str) -> tuple: """ - Create a pandas DataFrame using values entered in the text field and converts it to a JSON string. + Create a pandas DataFrame using values entered in the text field and converts it to a DataFrame. Args: data (str): String value in the text field. Returns: - tuple: A tuple containing a JSON string representation of the DataFrame. + tuple: A tuple containing a the DataFrame. """ # Read CSV file into DataFrame df = pd.read_csv(StringIO(data)) diff --git a/modules/pandas_wrapper/pandas_create_with_index.py b/modules/pandas_wrapper/pandas_create_with_index.py index 8eedb35..4e119b4 100644 --- a/modules/pandas_wrapper/pandas_create_with_index.py +++ b/modules/pandas_wrapper/pandas_create_with_index.py @@ -31,7 +31,7 @@ class PandasCreateWithIndex: def create(self, data: str, index_col: int=0) -> tuple: """ - Create a pandas DataFrame using values entered in the text field and converts it to a JSON string. + Create a pandas DataFrame using values entered in the text field and converts it to a DataFrame. Input data is assume to have an index. Args: @@ -39,7 +39,7 @@ class PandasCreateWithIndex: index_col (int): Position of the index column. Returns: - tuple: A tuple containing a JSON string representation of the DataFrame. + tuple: A tuple containing the DataFrame. """ # Read CSV file into DataFrame df = pd.read_csv(StringIO(data), index_col=index_col) diff --git a/modules/pandas_wrapper/pandas_cummax.py b/modules/pandas_wrapper/pandas_cummax.py index 255bdad..3cbf840 100644 --- a/modules/pandas_wrapper/pandas_cummax.py +++ b/modules/pandas_wrapper/pandas_cummax.py @@ -37,7 +37,7 @@ class PandasCummax: axis (str): Specify the direction to compute: Index (row label) or column label. Returns: - tuple: A tuple containing a JSON string of the renamed DataFrame. + tuple: A tuple containing the DataFrame. """ if axis=="index": df_out = dataframe.cummax(axis=0) diff --git a/modules/pandas_wrapper/pandas_cummin.py b/modules/pandas_wrapper/pandas_cummin.py index eafacb7..3e05a1f 100644 --- a/modules/pandas_wrapper/pandas_cummin.py +++ b/modules/pandas_wrapper/pandas_cummin.py @@ -37,7 +37,7 @@ class PandasCummin: axis (str): Specify the direction to compute: Index (row label) or column label. Returns: - tuple: A tuple containing a JSON string of the renamed DataFrame. + tuple: A tuple containing the DataFrame. """ if axis=="index": df_out = dataframe.cummin(axis=0) diff --git a/modules/pandas_wrapper/pandas_cumprod.py b/modules/pandas_wrapper/pandas_cumprod.py index 6053e9c..42da0e8 100644 --- a/modules/pandas_wrapper/pandas_cumprod.py +++ b/modules/pandas_wrapper/pandas_cumprod.py @@ -37,7 +37,7 @@ class PandasCumprod: axis (str): Specify the direction to compute: Index (row label) or column label. Returns: - tuple: A tuple containing a JSON string of the renamed DataFrame. + tuple: A tuple containing the DataFrame. """ if axis=="index": df_out = dataframe.cumprod(axis=0) diff --git a/modules/pandas_wrapper/pandas_cumsum.py b/modules/pandas_wrapper/pandas_cumsum.py index c0714b4..04f8899 100644 --- a/modules/pandas_wrapper/pandas_cumsum.py +++ b/modules/pandas_wrapper/pandas_cumsum.py @@ -37,7 +37,7 @@ class PandasCumsum: axis (str): Specify the direction to compute: Index (row label) or column label. Returns: - tuple: A tuple containing a JSON string of the renamed DataFrame. + tuple: A tuple containing the DataFrame. """ if axis=="index": df_out = dataframe.cumsum(axis=0) diff --git a/modules/pandas_wrapper/pandas_group_by.py b/modules/pandas_wrapper/pandas_group_by.py index 01f27cc..5a25fc5 100644 --- a/modules/pandas_wrapper/pandas_group_by.py +++ b/modules/pandas_wrapper/pandas_group_by.py @@ -44,7 +44,7 @@ class PandasGroupBy: aggregate_function (str): The type of aggregate function to perform. Returns: - tuple: A tuple containing a JSON string of the merged DataFrame. + tuple: A tuple containing the merged DataFrame. """ if aggragate_function == "max": df_out = dataframe.groupby(column_name).max() diff --git a/modules/pandas_wrapper/pandas_head.py b/modules/pandas_wrapper/pandas_head.py index cd7bf55..1be6946 100644 --- a/modules/pandas_wrapper/pandas_head.py +++ b/modules/pandas_wrapper/pandas_head.py @@ -38,7 +38,7 @@ class PandasHead: rows (int): The number of rows to retrieve. Returns: - tuple: A tuple containing a JSON string of the resulting DataFrame. + tuple: A tuple containing the resulting DataFrame. """ df2 = dataframe.head(rows) return (df2,) diff --git a/modules/pandas_wrapper/pandas_iloc_rows_dataframe.py b/modules/pandas_wrapper/pandas_iloc_rows_dataframe.py index b1f8b0d..e716fcf 100644 --- a/modules/pandas_wrapper/pandas_iloc_rows_dataframe.py +++ b/modules/pandas_wrapper/pandas_iloc_rows_dataframe.py @@ -43,8 +43,7 @@ class PandasIlocRowsDataFrame: row_int_pos_list_json (str): A list containing row integer positions. Returns: - tuple: A tuple containing the value of the row in string. The string is - a JSON string containing the serialized Pandas Series object. + tuple: A tuple containing the DataFrame. """ row_int_pos_list = json.loads(row_int_pos_list_json) df2 = dataframe.iloc[row_int_pos_list] diff --git a/modules/pandas_wrapper/pandas_join.py b/modules/pandas_wrapper/pandas_join.py index 4ac1936..742984d 100644 --- a/modules/pandas_wrapper/pandas_join.py +++ b/modules/pandas_wrapper/pandas_join.py @@ -42,7 +42,7 @@ class PandasJoin: join_method (str): The type of join to perform ("inner", "left", "right", "outer"). Returns: - tuple: A tuple containing a JSON string of the merged DataFrame. + tuple: A tuple containing the merged DataFrame. """ df_out = pd.merge(left_dataframe, right_dataframe, on=on_column_name, how=join_method) return (df_out,) diff --git a/modules/pandas_wrapper/pandas_kurtosis.py b/modules/pandas_wrapper/pandas_kurtosis.py new file mode 100644 index 0000000..450ca06 --- /dev/null +++ b/modules/pandas_wrapper/pandas_kurtosis.py @@ -0,0 +1,52 @@ +from typing import Any, Dict +import pandas as pd + + +class PandasKurtosis: + """ + Computes the unbiased kurtosis of the DataFrame. + + This method returns the excess kurtosis rather than the raw kurtosis. + Excess kurtosis is calculated by subtracting 3 from the raw kurtosis, + which offsets it relative to the kurtosis of a normal distribution. + + category: Summary statistics + """ + + @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", {}), + "axis": (("index", "columns"),), + } + } + + RETURN_TYPES: tuple = ("PDSERIES",) + FUNCTION: str = "f" + CATEGORY: str = "Data Analysis" + + def f(self, dataframe: pd.DataFrame, axis: str) -> tuple: + """ + Computes the unbiased kurtosis of the DataFrame. + + Args: + dataframe (DataFrame): The DataFrame. + axis (str): Specify the direction to compute: Index (row label) or column label. + + Returns: + tuple: A tuple containing the series. + """ + if axis=="index": + series = dataframe.kurtosis(axis=0) + elif axis=="columns": + series = dataframe.kurtosis(axis=1) + else: + raise ValueError("Invalid axis. Only index or columns are supported.") + return (series,) diff --git a/modules/pandas_wrapper/pandas_rename.py b/modules/pandas_wrapper/pandas_rename.py index a2bf75e..09a0a73 100644 --- a/modules/pandas_wrapper/pandas_rename.py +++ b/modules/pandas_wrapper/pandas_rename.py @@ -45,7 +45,7 @@ class PandasRename: new_label (str): The new label. Returns: - tuple: A tuple containing a JSON string of the renamed DataFrame. + tuple: A tuple containing the DataFrame. """ if axis=="index": df_out = dataframe.rename(index={current_label:new_label}) diff --git a/modules/pandas_wrapper/pandas_select_rows.py b/modules/pandas_wrapper/pandas_select_rows.py index 953231e..a5fb264 100644 --- a/modules/pandas_wrapper/pandas_select_rows.py +++ b/modules/pandas_wrapper/pandas_select_rows.py @@ -37,7 +37,7 @@ class PandasSelectRows: condition (str): A string representing the condition to filter rows. Returns: - tuple: A tuple containing a JSON string of the filtered DataFrame. + tuple: A tuple containing the filtered DataFrame. """ # Apply condition df2 = dataframe.query(condition) diff --git a/modules/pandas_wrapper/pandas_skew.py b/modules/pandas_wrapper/pandas_skew.py new file mode 100644 index 0000000..74eafa0 --- /dev/null +++ b/modules/pandas_wrapper/pandas_skew.py @@ -0,0 +1,48 @@ +from typing import Any, Dict +import pandas as pd + + +class PandasSkew: + """ + Computes the unbiased skewness of the DataFrame. + + category: Summary statistics + """ + + @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", {}), + "axis": (("index", "columns"),), + } + } + + RETURN_TYPES: tuple = ("PDSERIES",) + FUNCTION: str = "f" + CATEGORY: str = "Data Analysis" + + def f(self, dataframe: pd.DataFrame, axis: str) -> tuple: + """ + Computes the unbiased skewness of the DataFrame. + + Args: + dataframe (DataFrame): The DataFrame. + axis (str): Specify the direction to compute: Index (row label) or column label. + + Returns: + tuple: A tuple containing the series. + """ + if axis=="index": + series = dataframe.skew(axis=0) + elif axis=="columns": + series = dataframe.skew(axis=1) + else: + raise ValueError("Invalid axis. Only index or columns are supported.") + return (series,) diff --git a/modules/pandas_wrapper/pandas_sort.py b/modules/pandas_wrapper/pandas_sort.py index 21b17a5..debb8bb 100644 --- a/modules/pandas_wrapper/pandas_sort.py +++ b/modules/pandas_wrapper/pandas_sort.py @@ -39,7 +39,7 @@ class PandasSort: ascending (bool): Whether to sort in ascending order. Returns: - tuple: A tuple containing a JSON string of the sorted DataFrame. + tuple: A tuple containing the sorted DataFrame. """ df2 = dataframe.sort_values(by=column_name, ascending=ascending) return (df2,) diff --git a/modules/pandas_wrapper/pandas_transpose.py b/modules/pandas_wrapper/pandas_transpose.py index b1eba05..1b8b76e 100644 --- a/modules/pandas_wrapper/pandas_transpose.py +++ b/modules/pandas_wrapper/pandas_transpose.py @@ -34,6 +34,6 @@ class PandasTranspose: dataframe (DataFrame): The DataFrame. Returns: - tuple: A tuple containing a JSON string of the transposed DataFrame. + tuple: A tuple containing the transposed DataFrame. """ return (dataframe.transpose(),) diff --git a/pyproject.toml b/pyproject.toml index 303e620..0034e40 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,7 +1,7 @@ [project] name = "data-analysis" description = "Data analysis custom modules for ComfyUI - Use Pandas & Matplotlib within ComfyUI" -version = "1.1.19" +version = "1.1.20" license = {file = "LICENSE"} [project.urls]