nodes/HowToSD-ComfyUI-Data-Analysis
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Added Pandas Drop Duplicates node. Fixed Pandas Drop NA node to output a DataFrame instead of legacy JSON string.

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HowToSD
2025-02-20 13:28:37 -08:00
parent 472565908b
commit fff4b58abb
7 changed files with 264 additions and 29 deletions
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__init__.py
+36 -27
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@@ -1,3 +1,4 @@
# This file is auto-generated. Do not edit manually.
from typing import Dict, Type, TypeVar
from .modules.cda.cda_float_create import CDAFloatCreate
from .modules.cda.cda_int_create import CDAIntCreate
@@ -17,6 +18,7 @@ from .modules.pandas_wrapper.pandas_as_float import PandasAsFloat
from .modules.pandas_wrapper.pandas_as_int import PandasAsInt
from .modules.pandas_wrapper.pandas_as_string import PandasAsString
from .modules.pandas_wrapper.pandas_columns import PandasColumns
from .modules.pandas_wrapper.pandas_cos import PandasCos
from .modules.pandas_wrapper.pandas_count import PandasCount
from .modules.pandas_wrapper.pandas_create import PandasCreate
from .modules.pandas_wrapper.pandas_create_with_index import PandasCreateWithIndex
@@ -28,12 +30,9 @@ from .modules.pandas_wrapper.pandas_div import PandasDiv
from .modules.pandas_wrapper.pandas_div_scalar_float import PandasDivScalarFloat
from .modules.pandas_wrapper.pandas_div_scalar_int import PandasDivScalarInt
from .modules.pandas_wrapper.pandas_div_series import PandasDivSeries
from .modules.pandas_wrapper.pandas_drop_duplicates import PandasDropDuplicates
from .modules.pandas_wrapper.pandas_dropna import PandasDropNA
from .modules.pandas_wrapper.pandas_exp import PandasExp
from .modules.pandas_wrapper.pandas_log import PandasLog
from .modules.pandas_wrapper.pandas_sin import PandasSin
from .modules.pandas_wrapper.pandas_cos import PandasCos
from .modules.pandas_wrapper.pandas_tan import PandasTan
from .modules.pandas_wrapper.pandas_group_by import PandasGroupBy
from .modules.pandas_wrapper.pandas_head import PandasHead
from .modules.pandas_wrapper.pandas_horizontal_concat import PandasHorizontalConcat
@@ -51,6 +50,7 @@ from .modules.pandas_wrapper.pandas_load_html import PandasLoadHTML
from .modules.pandas_wrapper.pandas_load_json import PandasLoadJSON
from .modules.pandas_wrapper.pandas_loc_cell_str import PandasLocCellStr
from .modules.pandas_wrapper.pandas_loc_row_series import PandasLocRowSeries
from .modules.pandas_wrapper.pandas_log import PandasLog
from .modules.pandas_wrapper.pandas_max import PandasMax
from .modules.pandas_wrapper.pandas_mean import PandasMean
from .modules.pandas_wrapper.pandas_median import PandasMedian
@@ -70,12 +70,13 @@ from .modules.pandas_wrapper.pandas_save_csv import PandasSaveCSV
from .modules.pandas_wrapper.pandas_save_json import PandasSaveJSON
from .modules.pandas_wrapper.pandas_select_columns import PandasSelectColumns
from .modules.pandas_wrapper.pandas_select_rows import PandasSelectRows
from .modules.pandas_wrapper.pandas_series_to_string import PandasSeriesToString
from .modules.pandas_wrapper.pandas_series_to_dataframe import PandasSeriesToDataFrame
from .modules.pandas_wrapper.pandas_series_to_string import PandasSeriesToString
from .modules.pandas_wrapper.pandas_show_dataframe import PandasShowDataFrame
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_sort import PandasSort
from .modules.pandas_wrapper.pandas_std import PandasStd
from .modules.pandas_wrapper.pandas_sub import PandasSub
@@ -84,14 +85,20 @@ from .modules.pandas_wrapper.pandas_sub_scalar_int import PandasSubScalarInt
from .modules.pandas_wrapper.pandas_sub_series import PandasSubSeries
from .modules.pandas_wrapper.pandas_sum import PandasSum
from .modules.pandas_wrapper.pandas_summary import PandasSummary
from .modules.pandas_wrapper.pandas_tan import PandasTan
from .modules.pandas_wrapper.pandas_to_string import PandasToString
from .modules.pandas_wrapper.pandas_transpose import PandasTranspose
from .modules.pandas_wrapper.pandas_var import PandasVar
from .modules.pandas_wrapper.pandas_vertical_concat import PandasVerticalConcat
from .modules.pandas_wrapper.pandas_vertical_split import PandasVerticalSplit
T = TypeVar("T")
"""
NODE_CLASS_MAPPINGS (Dict[str, Type[T]]):
A dictionary mapping node names to their corresponding class implementations.
"""
NODE_CLASS_MAPPINGS: Dict[str, Type[T]] = {
"CDAFloatCreate": CDAFloatCreate,
"CDAIntCreate": CDAIntCreate,
@@ -111,6 +118,7 @@ NODE_CLASS_MAPPINGS: Dict[str, Type[T]] = {
"PandasAsInt": PandasAsInt,
"PandasAsString": PandasAsString,
"PandasColumns": PandasColumns,
"PandasCos": PandasCos,
"PandasCount": PandasCount,
"PandasCreate": PandasCreate,
"PandasCreateWithIndex": PandasCreateWithIndex,
@@ -122,12 +130,9 @@ NODE_CLASS_MAPPINGS: Dict[str, Type[T]] = {
"PandasDivScalarFloat": PandasDivScalarFloat,
"PandasDivScalarInt": PandasDivScalarInt,
"PandasDivSeries": PandasDivSeries,
"PandasDropDuplicates": PandasDropDuplicates,
"PandasDropNA": PandasDropNA,
"PandasExp": PandasExp,
"PandasLog": PandasLog,
"PandasSin": PandasSin,
"PandasCos": PandasCos,
"PandasTan": PandasTan,
"PandasGroupBy": PandasGroupBy,
"PandasHead": PandasHead,
"PandasHorizontalConcat": PandasHorizontalConcat,
@@ -145,6 +150,7 @@ NODE_CLASS_MAPPINGS: Dict[str, Type[T]] = {
"PandasLoadJSON": PandasLoadJSON,
"PandasLocCellStr": PandasLocCellStr,
"PandasLocRowSeries": PandasLocRowSeries,
"PandasLog": PandasLog,
"PandasMax": PandasMax,
"PandasMean": PandasMean,
"PandasMedian": PandasMedian,
@@ -154,22 +160,23 @@ NODE_CLASS_MAPPINGS: Dict[str, Type[T]] = {
"PandasMulScalarFloat": PandasMulScalarFloat,
"PandasMulScalarInt": PandasMulScalarInt,
"PandasMulSeries": PandasMulSeries,
"PandasRename": PandasRename,
"PandasReplace": PandasReplace,
"PandasPow": PandasPow,
"PandasPowScalarFloat": PandasPowScalarFloat,
"PandasPowScalarInt": PandasPowScalarInt,
"PandasPowSeries": PandasPowSeries,
"PandasRename": PandasRename,
"PandasReplace": PandasReplace,
"PandasSaveCSV": PandasSaveCSV,
"PandasSaveJSON": PandasSaveJSON,
"PandasSelectColumns": PandasSelectColumns,
"PandasSelectRows": PandasSelectRows,
"PandasSeriesToString": PandasSeriesToString,
"PandasSeriesToDataFrame": PandasSeriesToDataFrame,
"PandasSeriesToString": PandasSeriesToString,
"PandasShowDataFrame": PandasShowDataFrame,
"PandasShowIndex": PandasShowIndex,
"PandasShowSeries": PandasShowSeries,
"PandasShowText": PandasShowText,
"PandasSin": PandasSin,
"PandasSort": PandasSort,
"PandasStd": PandasStd,
"PandasSub": PandasSub,
@@ -178,15 +185,18 @@ NODE_CLASS_MAPPINGS: Dict[str, Type[T]] = {
"PandasSubSeries": PandasSubSeries,
"PandasSum": PandasSum,
"PandasSummary": PandasSummary,
"PandasTan": PandasTan,
"PandasToString": PandasToString,
"PandasTranspose": PandasTranspose,
"PandasVar": PandasVar,
"PandasVerticalConcat": PandasVerticalConcat,
"PandasVerticalSplit": PandasVerticalSplit
"PandasVerticalSplit": PandasVerticalSplit,
}
"""
NODE_CLASS_MAPPINGS (Dict[str, Type[T]]):
A dictionary mapping node names to their corresponding class implementations.
NODE_DISPLAY_NAME_MAPPINGS (Dict[str, str]):
A dictionary mapping node names to user-friendly display names.
"""
NODE_DISPLAY_NAME_MAPPINGS: Dict[str, str] = {
@@ -202,12 +212,13 @@ NODE_DISPLAY_NAME_MAPPINGS: Dict[str, str] = {
"MPLScatter": "MPL Scatter Plot",
"PandasAdd": "Pandas Add",
"PandasAddScalarFloat": "Pandas Add Scalar Float",
"PandasAddScalarInt":" Pandas Add Scalar Int",
"PandasAddScalarInt": "Pandas Add Scalar Int",
"PandasAddSeries": "Pandas Add Series",
"PandasAsFloat": "Pandas As Float",
"PandasAsInt": "Pandas As Int",
"PandasAsString": "Pandas As String",
"PandasColumns": "Pandas Columns",
"PandasCos": "Pandas Cos",
"PandasCount": "Pandas Count",
"PandasCreate": "Pandas Create",
"PandasCreateWithIndex": "Pandas Create With Index",
@@ -219,12 +230,9 @@ NODE_DISPLAY_NAME_MAPPINGS: Dict[str, str] = {
"PandasDivScalarFloat": "Pandas Div Scalar Float",
"PandasDivScalarInt": "Pandas Div Scalar Int",
"PandasDivSeries": "Pandas Div Series",
"PandasDropDuplicates": "Pandas Drop Duplicates",
"PandasDropNA": "Pandas Drop NA",
"PandasExp": "Pandas Exp",
"PandasLog": "Pandas Log",
"PandasSin": "Pandas Sin",
"PandasCos": "Pandas Cos",
"PandasTan": "Pandas Tan",
"PandasGroupBy": "Pandas Group By",
"PandasHead": "Pandas Head",
"PandasHorizontalConcat": "Pandas Horizontal Concat",
@@ -242,6 +250,7 @@ NODE_DISPLAY_NAME_MAPPINGS: Dict[str, str] = {
"PandasLoadJSON": "Pandas Load JSON",
"PandasLocCellStr": "Pandas Loc Cell Str",
"PandasLocRowSeries": "Pandas Loc Row Series",
"PandasLog": "Pandas Log",
"PandasMax": "Pandas Max",
"PandasMean": "Pandas Mean",
"PandasMedian": "Pandas Median",
@@ -261,12 +270,13 @@ NODE_DISPLAY_NAME_MAPPINGS: Dict[str, str] = {
"PandasSaveJSON": "Pandas Save JSON",
"PandasSelectColumns": "Pandas Select Columns",
"PandasSelectRows": "Pandas Select Rows",
"PandasSeriesToString": "Pandas Series To String",
"PandasSeriesToDataFrame": "Pandas Series To DataFrame",
"PandasSeriesToString": "Pandas Series To String",
"PandasShowDataFrame": "Pandas Show DataFrame",
"PandasShowIndex": "Pandas Show Index",
"PandasShowSeries": "Pandas Show Series",
"PandasShowText": "Pandas Show Text",
"PandasSin": "Pandas Sin",
"PandasSort": "Pandas Sort",
"PandasStd": "Pandas Std",
"PandasSub": "Pandas Sub",
@@ -275,21 +285,20 @@ NODE_DISPLAY_NAME_MAPPINGS: Dict[str, str] = {
"PandasSubSeries": "Pandas Sub Series",
"PandasSum": "Pandas Sum",
"PandasSummary": "Pandas Summary",
"PandasTan": "Pandas Tan",
"PandasToString": "Pandas To String",
"PandasTranspose": "Pandas Transpose",
"PandasVar": "Pandas Var",
"PandasVerticalConcat": "Pandas Vertical Concat",
"PandasVerticalSplit": "Pandas Vertical Split"
"PandasVerticalSplit": "Pandas Vertical Split",
}
"""
NODE_DISPLAY_NAME_MAPPINGS (Dict[str, str]):
A dictionary mapping node names to user-friendly display names.
"""
"""
Below two lines were taken from:
https://github.com/pythongosssss/ComfyUI-Custom-Scripts/blob/main/__init__.py
See credit/credit.md for the full license.
"""
WEB_DIRECTORY = "./web"
__all__ = ["NODE_CLASS_MAPPINGS", "NODE_DISPLAY_NAME_MAPPINGS", "WEB_DIRECTORY"]