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Added Pandas Add Scalar Float/Int, Div Scalar Float/Int, Mul Scalar Float/Int, Sub Scalar Float/Int, Pow Scalar Float/Int nodes.

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HowToSD
2025-02-20 10:00:55 -08:00
parent 731436837f
commit 472565908b
25 changed files with 654 additions and 4 deletions
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__init__.py
+30
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@@ -10,6 +10,8 @@ from .modules.matplotlib.mpl_bar import MPLBar
from .modules.matplotlib.mpl_line import MPLLine
from .modules.matplotlib.mpl_scatter import MPLScatter
from .modules.pandas_wrapper.pandas_add import PandasAdd
from .modules.pandas_wrapper.pandas_add_scalar_float import PandasAddScalarFloat
from .modules.pandas_wrapper.pandas_add_scalar_int import PandasAddScalarInt
from .modules.pandas_wrapper.pandas_add_series import PandasAddSeries
from .modules.pandas_wrapper.pandas_as_float import PandasAsFloat
from .modules.pandas_wrapper.pandas_as_int import PandasAsInt
@@ -23,6 +25,8 @@ from .modules.pandas_wrapper.pandas_cummin import PandasCummin
from .modules.pandas_wrapper.pandas_cumprod import PandasCumprod
from .modules.pandas_wrapper.pandas_cumsum import PandasCumsum
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_dropna import PandasDropNA
from .modules.pandas_wrapper.pandas_exp import PandasExp
@@ -53,8 +57,12 @@ from .modules.pandas_wrapper.pandas_median import PandasMedian
from .modules.pandas_wrapper.pandas_min import PandasMin
from .modules.pandas_wrapper.pandas_mode import PandasMode
from .modules.pandas_wrapper.pandas_mul import PandasMul
from .modules.pandas_wrapper.pandas_mul_scalar_float import PandasMulScalarFloat
from .modules.pandas_wrapper.pandas_mul_scalar_int import PandasMulScalarInt
from .modules.pandas_wrapper.pandas_mul_series import PandasMulSeries
from .modules.pandas_wrapper.pandas_pow import PandasPow
from .modules.pandas_wrapper.pandas_pow_scalar_float import PandasPowScalarFloat
from .modules.pandas_wrapper.pandas_pow_scalar_int import PandasPowScalarInt
from .modules.pandas_wrapper.pandas_pow_series import PandasPowSeries
from .modules.pandas_wrapper.pandas_rename import PandasRename
from .modules.pandas_wrapper.pandas_replace import PandasReplace
@@ -71,6 +79,8 @@ from .modules.pandas_wrapper.pandas_show_text import PandasShowText
from .modules.pandas_wrapper.pandas_sort import PandasSort
from .modules.pandas_wrapper.pandas_std import PandasStd
from .modules.pandas_wrapper.pandas_sub import PandasSub
from .modules.pandas_wrapper.pandas_sub_scalar_float import PandasSubScalarFloat
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
@@ -94,6 +104,8 @@ NODE_CLASS_MAPPINGS: Dict[str, Type[T]] = {
"MPLLine": MPLLine,
"MPLScatter": MPLScatter,
"PandasAdd": PandasAdd,
"PandasAddScalarFloat": PandasAddScalarFloat,
"PandasAddScalarInt": PandasAddScalarInt,
"PandasAddSeries": PandasAddSeries,
"PandasAsFloat": PandasAsFloat,
"PandasAsInt": PandasAsInt,
@@ -107,6 +119,8 @@ NODE_CLASS_MAPPINGS: Dict[str, Type[T]] = {
"PandasCumprod": PandasCumprod,
"PandasCumsum": PandasCumsum,
"PandasDiv": PandasDiv,
"PandasDivScalarFloat": PandasDivScalarFloat,
"PandasDivScalarInt": PandasDivScalarInt,
"PandasDivSeries": PandasDivSeries,
"PandasDropNA": PandasDropNA,
"PandasExp": PandasExp,
@@ -137,10 +151,14 @@ NODE_CLASS_MAPPINGS: Dict[str, Type[T]] = {
"PandasMin": PandasMin,
"PandasMode": PandasMode,
"PandasMul": PandasMul,
"PandasMulScalarFloat": PandasMulScalarFloat,
"PandasMulScalarInt": PandasMulScalarInt,
"PandasMulSeries": PandasMulSeries,
"PandasRename": PandasRename,
"PandasReplace": PandasReplace,
"PandasPow": PandasPow,
"PandasPowScalarFloat": PandasPowScalarFloat,
"PandasPowScalarInt": PandasPowScalarInt,
"PandasPowSeries": PandasPowSeries,
"PandasSaveCSV": PandasSaveCSV,
"PandasSaveJSON": PandasSaveJSON,
@@ -155,6 +173,8 @@ NODE_CLASS_MAPPINGS: Dict[str, Type[T]] = {
"PandasSort": PandasSort,
"PandasStd": PandasStd,
"PandasSub": PandasSub,
"PandasSubScalarFloat": PandasSubScalarFloat,
"PandasSubScalarInt": PandasSubScalarInt,
"PandasSubSeries": PandasSubSeries,
"PandasSum": PandasSum,
"PandasSummary": PandasSummary,
@@ -181,6 +201,8 @@ NODE_DISPLAY_NAME_MAPPINGS: Dict[str, str] = {
"MPLLine": "MPL Line Plot",
"MPLScatter": "MPL Scatter Plot",
"PandasAdd": "Pandas Add",
"PandasAddScalarFloat": "Pandas Add Scalar Float",
"PandasAddScalarInt":" Pandas Add Scalar Int",
"PandasAddSeries": "Pandas Add Series",
"PandasAsFloat": "Pandas As Float",
"PandasAsInt": "Pandas As Int",
@@ -194,6 +216,8 @@ NODE_DISPLAY_NAME_MAPPINGS: Dict[str, str] = {
"PandasCumprod": "Pandas Cumprod",
"PandasCumsum": "Pandas Cumsum",
"PandasDiv": "Pandas Div",
"PandasDivScalarFloat": "Pandas Div Scalar Float",
"PandasDivScalarInt": "Pandas Div Scalar Int",
"PandasDivSeries": "Pandas Div Series",
"PandasDropNA": "Pandas Drop NA",
"PandasExp": "Pandas Exp",
@@ -224,8 +248,12 @@ NODE_DISPLAY_NAME_MAPPINGS: Dict[str, str] = {
"PandasMin": "Pandas Min",
"PandasMode": "Pandas Mode",
"PandasMul": "Pandas Mul",
"PandasMulScalarFloat": "Pandas Mul Scalar Float",
"PandasMulScalarInt": "Pandas Mul Scalar Int",
"PandasMulSeries": "Pandas Mul Series",
"PandasPow": "Pandas Pow",
"PandasPowScalarFloat": "Pandas Pow Scalar Float",
"PandasPowScalarInt": "Pandas Pow Scalar Int",
"PandasPowSeries": "Pandas Pow Series",
"PandasRename": "Pandas Rename",
"PandasReplace": "Pandas Replace",
@@ -242,6 +270,8 @@ NODE_DISPLAY_NAME_MAPPINGS: Dict[str, str] = {
"PandasSort": "Pandas Sort",
"PandasStd": "Pandas Std",
"PandasSub": "Pandas Sub",
"PandasSubScalarFloat": "Pandas Sub Scalar Float",
"PandasSubScalarInt": "Pandas Sub Scalar Int",
"PandasSubSeries": "Pandas Sub Series",
"PandasSum": "Pandas Sum",
"PandasSummary": "Pandas Summary",
docs/reference/node_reference.md
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@@ -7,14 +7,24 @@
| Node | Description |
| --- | --- |
| [Pandas Add](pandas_add.md) | Adds two pandas DataFrames. |
| [Pandas Add Scalar Float](pandas_add_scalar_float.md) | Adds a floating-point number to a Pandas DataFrame. |
| [Pandas Add Scalar Int](pandas_add_scalar_int.md) | Adds an integer to a Pandas DataFrame. |
| [Pandas Add Series](pandas_add_series.md) | Adds a Pandas Series to a pandas DataFrames. |
| [Pandas Div](pandas_div.md) | Divides two pandas DataFrames. |
| [Pandas Div](pandas_div.md) | Divides a Pandas DataFrame by another DataFrame. |
| [Pandas Div Scalar Float](pandas_div_scalar_float.md) | Divides a Pandas DataFrame by a floating-point number. |
| [Pandas Div Scalar Int](pandas_div_scalar_int.md) | Divides a Pandas DataFrame by an integer. |
| [Pandas Div Series](pandas_div_series.md) | Divides a Pandas DataFrame by a Pandas Series. |
| [Pandas Mul](pandas_mul.md) | Multiplies two pandas DataFrames. |
| [Pandas Mul Scalar Float](pandas_mul_scalar_float.md) | Multiplies a Pandas DataFrame by a floating-point number. |
| [Pandas Mul Scalar Int](pandas_mul_scalar_int.md) | Multiplies a Pandas DataFrame by a floating-point number. |
| [Pandas Mul Series](pandas_mul_series.md) | Multiplies a Pandas DataFrame by a Pandas Series. |
| [Pandas Pow](pandas_pow.md) | Exponentiates two pandas DataFrames. |
| [Pandas Pow Scalar Float](pandas_pow_scalar_float.md) | Raises a Pandas DataFrame to the power of a floating-point number. |
| [Pandas Pow Scalar Int](pandas_pow_scalar_int.md) | Raises a Pandas DataFrame to the power of an integer. |
| [Pandas Pow Series](pandas_pow_series.md) | Raises a Pandas DataFrame to the power of a Pandas Series. |
| [Pandas Sub](pandas_sub.md) | Subtracts a Pandas DataFrame from another DataFrame. |
| [Pandas Sub Scalar Float](pandas_sub_scalar_float.md) | Subtracts a floating-point number from a Pandas DataFrame. |
| [Pandas Sub Scalar Int](pandas_sub_scalar_int.md) | Subtracts an integer from a Pandas DataFrame. |
| [Pandas Sub Series](pandas_sub_series.md) | Subtracts a Pandas Series from a Pandas DataFrame. |
## Cumulative calculations
| Node | Description |
docs/reference/pandas_add_scalar_float.md
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@@ -0,0 +1,18 @@
# Pandas Add Scalar Float
Adds a floating-point number to a Pandas DataFrame.
## Input
| Name | Data type |
|---|---|
| dataframe | DataFrame |
| float_scalar | Float |
## Output
| Data type |
|---|
| DataFrame |
<HR>
Category: Arithmetic method
ComfyUI Data Analysis Node Reference. © 2025 Hide Inada (HowToSD.com). All rights reserved.
docs/reference/pandas_add_scalar_int.md
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@@ -0,0 +1,18 @@
# Pandas Add Scalar Int
Adds an integer to a Pandas DataFrame.
## Input
| Name | Data type |
|---|---|
| dataframe | DataFrame |
| int_scalar | Int |
## Output
| Data type |
|---|
| DataFrame |
<HR>
Category: Arithmetic method
ComfyUI Data Analysis Node Reference. © 2025 Hide Inada (HowToSD.com). All rights reserved.
docs/reference/pandas_div.md
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@@ -1,5 +1,5 @@
# Pandas Div
Divides two pandas DataFrames.
Divides a Pandas DataFrame by another DataFrame.
## Input
| Name | Data type |
docs/reference/pandas_div_scalar_float.md
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@@ -0,0 +1,18 @@
# Pandas Div Scalar Float
Divides a Pandas DataFrame by a floating-point number.
## Input
| Name | Data type |
|---|---|
| dataframe | DataFrame |
| float_scalar | Float |
## Output
| Data type |
|---|
| DataFrame |
<HR>
Category: Arithmetic method
ComfyUI Data Analysis Node Reference. © 2025 Hide Inada (HowToSD.com). All rights reserved.
docs/reference/pandas_div_scalar_int.md
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@@ -0,0 +1,18 @@
# Pandas Div Scalar Int
Divides a Pandas DataFrame by an integer.
## Input
| Name | Data type |
|---|---|
| dataframe | DataFrame |
| int_scalar | Int |
## Output
| Data type |
|---|
| DataFrame |
<HR>
Category: Arithmetic method
ComfyUI Data Analysis Node Reference. © 2025 Hide Inada (HowToSD.com). All rights reserved.
docs/reference/pandas_mul_scalar_float.md
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@@ -0,0 +1,18 @@
# Pandas Mul Scalar Float
Multiplies a Pandas DataFrame by a floating-point number.
## Input
| Name | Data type |
|---|---|
| dataframe | DataFrame |
| float_scalar | Float |
## Output
| Data type |
|---|
| DataFrame |
<HR>
Category: Arithmetic method
ComfyUI Data Analysis Node Reference. © 2025 Hide Inada (HowToSD.com). All rights reserved.
docs/reference/pandas_mul_scalar_int.md
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@@ -0,0 +1,18 @@
# Pandas Mul Scalar Int
Multiplies a Pandas DataFrame by a floating-point number.
## Input
| Name | Data type |
|---|---|
| dataframe | DataFrame |
| int_scalar | Int |
## Output
| Data type |
|---|
| DataFrame |
<HR>
Category: Arithmetic method
ComfyUI Data Analysis Node Reference. © 2025 Hide Inada (HowToSD.com). All rights reserved.
docs/reference/pandas_pow_scalar_float.md
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@@ -0,0 +1,18 @@
# Pandas Pow Scalar Float
Raises a Pandas DataFrame to the power of a floating-point number.
## Input
| Name | Data type |
|---|---|
| dataframe | DataFrame |
| float_scalar | Float |
## Output
| Data type |
|---|
| DataFrame |
<HR>
Category: Arithmetic method
ComfyUI Data Analysis Node Reference. © 2025 Hide Inada (HowToSD.com). All rights reserved.
docs/reference/pandas_pow_scalar_int.md
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@@ -0,0 +1,18 @@
# Pandas Pow Scalar Int
Raises a Pandas DataFrame to the power of an integer.
## Input
| Name | Data type |
|---|---|
| dataframe | DataFrame |
| int_scalar | Int |
## Output
| Data type |
|---|
| DataFrame |
<HR>
Category: Arithmetic method
ComfyUI Data Analysis Node Reference. © 2025 Hide Inada (HowToSD.com). All rights reserved.
docs/reference/pandas_sub_scalar_float.md
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@@ -0,0 +1,18 @@
# Pandas Sub Scalar Float
Subtracts a floating-point number from a Pandas DataFrame.
## Input
| Name | Data type |
|---|---|
| dataframe | DataFrame |
| float_scalar | Float |
## Output
| Data type |
|---|
| DataFrame |
<HR>
Category: Arithmetic method
ComfyUI Data Analysis Node Reference. © 2025 Hide Inada (HowToSD.com). All rights reserved.
docs/reference/pandas_sub_scalar_int.md
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@@ -0,0 +1,18 @@
# Pandas Sub Scalar Int
Subtracts an integer from a Pandas DataFrame.
## Input
| Name | Data type |
|---|---|
| dataframe | DataFrame |
| int_scalar | Int |
## Output
| Data type |
|---|
| DataFrame |
<HR>
Category: Arithmetic method
ComfyUI Data Analysis Node Reference. © 2025 Hide Inada (HowToSD.com). All rights reserved.
modules/pandas_wrapper/pandas_add_scalar_float.py
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@@ -0,0 +1,43 @@
from typing import Any, Dict
import pandas as pd
class PandasAddScalarFloat:
"""
Adds a floating-point number to a Pandas DataFrame.
category: Arithmetic method
"""
@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", {}),
"float_scalar": ("FLOAT", {"default": 0.0, "min": -2**31, "max": 2**31})
}
}
RETURN_TYPES: tuple = ("DATAFRAME",)
FUNCTION: str = "f"
CATEGORY: str = "Data Analysis"
def f(self, dataframe: pd.DataFrame, float_scalar: float) -> tuple:
"""
Adds a floating-point number to a Pandas DataFrame.
Args:
dataframe (DataFrame): The DataFrame.
float_scalar (DataFrame): The scalar value to add.
Returns:
tuple: A tuple containing the DataFrame containing the result.
"""
df_out = dataframe + float_scalar
return (df_out,)
modules/pandas_wrapper/pandas_add_scalar_int.py
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@@ -0,0 +1,43 @@
from typing import Any, Dict
import pandas as pd
class PandasAddScalarInt:
"""
Adds an integer to a Pandas DataFrame.
category: Arithmetic method
"""
@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", {}),
"int_scalar": ("INT", {"default": 0, "min": -2**31, "max": 2**31})
}
}
RETURN_TYPES: tuple = ("DATAFRAME",)
FUNCTION: str = "f"
CATEGORY: str = "Data Analysis"
def f(self, dataframe: pd.DataFrame, int_scalar: int) -> tuple:
"""
Adds an integer to a Pandas DataFrame.
Args:
dataframe (DataFrame): The DataFrame.
int_scalar (DataFrame): The scalar value to add.
Returns:
tuple: A tuple containing the DataFrame containing the result.
"""
df_out = dataframe + int_scalar
return (df_out,)
modules/pandas_wrapper/pandas_div.py
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@@ -5,7 +5,7 @@ import pandas as pd
class PandasDiv:
"""
Divides two pandas DataFrames.
Divides a Pandas DataFrame by another DataFrame.
category: Arithmetic method
"""
modules/pandas_wrapper/pandas_div_scalar_float.py
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@@ -0,0 +1,43 @@
from typing import Any, Dict
import pandas as pd
class PandasDivScalarFloat:
"""
Divides a Pandas DataFrame by a floating-point number.
category: Arithmetic method
"""
@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", {}),
"float_scalar": ("FLOAT", {"default": 1.0, "min": -2**31, "max": 2**31})
}
}
RETURN_TYPES: tuple = ("DATAFRAME",)
FUNCTION: str = "f"
CATEGORY: str = "Data Analysis"
def f(self, dataframe: pd.DataFrame, float_scalar: float) -> tuple:
"""
Divides a Pandas DataFrame by a floating-point number.
Args:
dataframe (DataFrame): The DataFrame to be divided.
float_scalar (DataFrame): The scalar value to divide by.
Returns:
tuple: A tuple containing the DataFrame containing the result of division.
"""
df_out = dataframe / float_scalar
return (df_out,)
modules/pandas_wrapper/pandas_div_scalar_int.py
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@@ -0,0 +1,43 @@
from typing import Any, Dict
import pandas as pd
class PandasDivScalarInt:
"""
Divides a Pandas DataFrame by an integer.
category: Arithmetic method
"""
@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", {}),
"int_scalar": ("INT", {"default": 1, "min": -2**31, "max": 2**31})
}
}
RETURN_TYPES: tuple = ("DATAFRAME",)
FUNCTION: str = "f"
CATEGORY: str = "Data Analysis"
def f(self, dataframe: pd.DataFrame, int_scalar: int) -> tuple:
"""
Divides a Pandas DataFrame by an integer.
Args:
dataframe (DataFrame): The DataFrame to be divided.
int_scalar (DataFrame): The scalar value to divide by.
Returns:
tuple: A tuple containing the DataFrame containing the result of division.
"""
df_out = dataframe / int_scalar
return (df_out,)
modules/pandas_wrapper/pandas_mul_scalar_float.py
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@@ -0,0 +1,43 @@
from typing import Any, Dict
import pandas as pd
class PandasMulScalarFloat:
"""
Multiplies a Pandas DataFrame by a floating-point number.
category: Arithmetic method
"""
@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", {}),
"float_scalar": ("FLOAT", {"default": 1.0, "min": -2**31, "max": 2**31})
}
}
RETURN_TYPES: tuple = ("DATAFRAME",)
FUNCTION: str = "f"
CATEGORY: str = "Data Analysis"
def f(self, dataframe: pd.DataFrame, float_scalar: float) -> tuple:
"""
Multiplies a Pandas DataFrame by a floating-point number.
Args:
dataframe (DataFrame): The DataFrame to be multiplied.
float_scalar (DataFrame): The scalar value to multiply by.
Returns:
tuple: A tuple containing the DataFrame containing the result.
"""
df_out = dataframe * float_scalar
return (df_out,)
modules/pandas_wrapper/pandas_mul_scalar_int.py
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@@ -0,0 +1,43 @@
from typing import Any, Dict
import pandas as pd
class PandasMulScalarInt:
"""
Multiplies a Pandas DataFrame by a floating-point number.
category: Arithmetic method
"""
@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", {}),
"int_scalar": ("INT", {"default": 1, "min": -2**31, "max": 2**31})
}
}
RETURN_TYPES: tuple = ("DATAFRAME",)
FUNCTION: str = "f"
CATEGORY: str = "Data Analysis"
def f(self, dataframe: pd.DataFrame, int_scalar: int) -> tuple:
"""
Multiplies a Pandas DataFrame by a floating-point number.
Args:
dataframe (DataFrame): The DataFrame to be multiplied.
float_scalar (DataFrame): The scalar value to multiply by.
Returns:
tuple: A tuple containing the DataFrame containing the result.
"""
df_out = dataframe * int_scalar
return (df_out,)
modules/pandas_wrapper/pandas_pow_scalar_float.py
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@@ -0,0 +1,43 @@
from typing import Any, Dict
import pandas as pd
class PandasPowScalarFloat:
"""
Raises a Pandas DataFrame to the power of a floating-point number.
category: Arithmetic method
"""
@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", {}),
"float_scalar": ("FLOAT", {"default": 1.0, "min": -2**31, "max": 2**31})
}
}
RETURN_TYPES: tuple = ("DATAFRAME",)
FUNCTION: str = "f"
CATEGORY: str = "Data Analysis"
def f(self, dataframe: pd.DataFrame, float_scalar: float) -> tuple:
"""
Raises a Pandas DataFrame to the power of a floating-point number.
Args:
dataframe (DataFrame): The DataFrame.
float_scalar (DataFrame): The scalar value containing the power.
Returns:
tuple: A tuple containing the DataFrame containing the result.
"""
df_out = dataframe.pow(float_scalar)
return (df_out,)
modules/pandas_wrapper/pandas_pow_scalar_int.py
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@@ -0,0 +1,43 @@
from typing import Any, Dict
import pandas as pd
class PandasPowScalarInt:
"""
Raises a Pandas DataFrame to the power of an integer.
category: Arithmetic method
"""
@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", {}),
"int_scalar": ("INT", {"default": 1, "min": -2**31, "max": 2**31})
}
}
RETURN_TYPES: tuple = ("DATAFRAME",)
FUNCTION: str = "f"
CATEGORY: str = "Data Analysis"
def f(self, dataframe: pd.DataFrame, int_scalar: int) -> tuple:
"""
Raises a Pandas DataFrame to the power of a integer.
Args:
dataframe (DataFrame): The DataFrame.
int_scalar (DataFrame): The scalar value containing the power.
Returns:
tuple: A tuple containing the DataFrame containing the result.
"""
df_out = dataframe.pow(int_scalar)
return (df_out,)
modules/pandas_wrapper/pandas_sub_scalar_float.py
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@@ -0,0 +1,43 @@
from typing import Any, Dict
import pandas as pd
class PandasSubScalarFloat:
"""
Subtracts a floating-point number from a Pandas DataFrame.
category: Arithmetic method
"""
@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", {}),
"float_scalar": ("FLOAT", {"default": 0.0, "min": -2**31, "max": 2**31})
}
}
RETURN_TYPES: tuple = ("DATAFRAME",)
FUNCTION: str = "f"
CATEGORY: str = "Data Analysis"
def f(self, dataframe: pd.DataFrame, float_scalar: float) -> tuple:
"""
Subtracts a floating-point number from a Pandas DataFrame.
Args:
dataframe (DataFrame): The DataFrame.
float_scalar (DataFrame): The scalar value to subtract.
Returns:
tuple: A tuple containing the DataFrame containing the result.
"""
df_out = dataframe - float_scalar
return (df_out,)
modules/pandas_wrapper/pandas_sub_scalar_int.py
+43
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@@ -0,0 +1,43 @@
from typing import Any, Dict
import pandas as pd
class PandasSubScalarInt:
"""
Subtracts an integer from a Pandas DataFrame.
category: Arithmetic method
"""
@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", {}),
"int_scalar": ("INT", {"default": 0, "min": -2**31, "max": 2**31})
}
}
RETURN_TYPES: tuple = ("DATAFRAME",)
FUNCTION: str = "f"
CATEGORY: str = "Data Analysis"
def f(self, dataframe: pd.DataFrame, int_scalar: int) -> tuple:
"""
Subtracts an integer from a Pandas DataFrame.
Args:
dataframe (DataFrame): The DataFrame.
int_scalar (DataFrame): The scalar value to subtract.
Returns:
tuple: A tuple containing the DataFrame containing the result.
"""
df_out = dataframe - int_scalar
return (df_out,)
pyproject.toml
+1 -1
View File
@@ -1,7 +1,7 @@
[project]
name = "data-analysis"
description = "Data analysis custom modules for ComfyUI - Use Pandas & Matplotlib within ComfyUI"
version = "1.1.11"
version = "1.1.12"
license = {file = "LICENSE"}
[project.urls]