24 KiB
24 KiB
Node Reference
Aggregation
| Node | Description |
|---|---|
| Pandas Group By | Computes aggregate values for groups in a DataFrame. |
Arithmetic method
| Node | Description |
|---|---|
| Pandas Add | Adds two pandas DataFrames. |
| Pandas Add Scalar Float | Adds a floating-point number to a Pandas DataFrame. |
| Pandas Add Scalar Int | Adds an integer to a Pandas DataFrame. |
| Pandas Add Series | Adds a Pandas Series to a pandas DataFrames. |
| Pandas Div | Divides a Pandas DataFrame by another DataFrame. |
| Pandas Div Scalar Float | Divides a Pandas DataFrame by a floating-point number. |
| Pandas Div Scalar Int | Divides a Pandas DataFrame by an integer. |
| Pandas Div Series | Divides a Pandas DataFrame by a Pandas Series. |
| Pandas Mul | Multiplies two pandas DataFrames. |
| Pandas Mul Scalar Float | Multiplies a Pandas DataFrame by a floating-point number. |
| Pandas Mul Scalar Int | Multiplies a Pandas DataFrame by a floating-point number. |
| Pandas Mul Series | Multiplies a Pandas DataFrame by a Pandas Series. |
| Pandas Pow | Exponentiates two pandas DataFrames. |
| Pandas Pow Scalar Float | Raises a Pandas DataFrame to the power of a floating-point number. |
| Pandas Pow Scalar Int | Raises a Pandas DataFrame to the power of an integer. |
| Pandas Pow Series | Raises a Pandas DataFrame to the power of a Pandas Series. |
| Pandas Sub | Subtracts a Pandas DataFrame from another DataFrame. |
| Pandas Sub Scalar Float | Subtracts a floating-point number from a Pandas DataFrame. |
| Pandas Sub Scalar Int | Subtracts an integer from a Pandas DataFrame. |
| Pandas Sub Series | Subtracts a Pandas Series from a Pandas DataFrame. |
Categorical summary
| Node | Description |
|---|---|
| Pandas Crosstab | Creates a contingency table (crosstab, or cross-tabulation) from two or more columns in a DataFrame. |
| Pandas Value Counts | Creates a frequency table from one or more columns in a DataFrame. |
Cumulative calculations
| Node | Description |
|---|---|
| Pandas Cummax | Computes the cummax (cumulative max) of the DataFrame. |
| Pandas Cummin | Computes the cummin (cumulative minimum) of the DataFrame. |
| Pandas Cumprod | Computes the cumprod (cumulative product) of the DataFrame. |
| Pandas Cumsum | Computes the cumsum (cumulative sum) of the DataFrame. |
Data cleansing
| Node | Description |
|---|---|
| Pandas Drop Duplicates | Drops duplicate rows from a Pandas DataFrame. |
| Pandas Drop NA | Drops missing values from a pandas DataFrame. |
| Pandas Fill NA Scalar Float | Replaces missing values in a Pandas DataFrame with a floating-point number. |
| Pandas Fill NA Scalar Int | Replaces missing values in a Pandas DataFrame with an integer. |
| Pandas Is NA | Checks a pandas DataFrame for missing values. |
| Pandas Replace | Replaces part or all of a string in each DataFrame cell with a specified string using a wildcard for matching. If you want to remove some characters, then leave the replace_string field blank. |
Data subset selection
| Node | Description |
|---|---|
| Pandas Head | Retrieves the first few rows of a pandas DataFrame. |
| Pandas Iloc Row Series | Selects a row from a pandas DataFrame and returning it as a Series. |
| Pandas Iloc Rows Data Frame | Selects rows from a pandas DataFrame and returning it as a DataFrame. |
| Pandas Iloc Rows Slice Data Frame | Selects rows from a pandas DataFrame using a slice defined by a start and end integer position. The start position is inclusive, while the end position is exclusive. Returns the selected rows as a DataFrame. |
| Pandas Loc Cell Str | Selects a cell from a pandas DataFrame and output as a string. |
| Pandas Loc Row MultiIndex DataFrame | Selects a row or rows from a pandas DataFrame with MultiIndex and output as a DataFrame. |
| Pandas Loc Row Series | Selects a row from a pandas DataFrame and output as a Series. |
| Pandas Select Columns | Selects specific columns from a pandas DataFrame. |
| Pandas Select Rows | Selects specific rows from a pandas DataFrame based on a condition. This node internally calls DataFrame.query(). |
| Pandas Xs | Selects a subset of a Pandas DataFrame using specified index labels or positions. |
Data type conversion
| Node | Description |
|---|---|
| Pandas As Float | Converts all cells in a pandas DataFrame to float type. |
| Pandas As Int | Converts all cells in a pandas DataFrame to integer type. |
| Pandas As String | Converts all cells in a pandas DataFrame to string type. |
| Pandas To Numpy | Converts a pandas DataFrame to Numpy ndarray. |
DataFrame information
| Node | Description |
|---|---|
| Pandas Columns | Retrieves the column labels of a pandas DataFrame. |
| Pandas Index | Retrieves the row labels (index) of a pandas DataFrame. |
Date and time processing
| Node | Description |
|---|---|
| Pandas Strftime | Converts one or more datetime columns in a DataFrame to string columns. |
| Pandas To Datetime | Converts one or more string columns in a DataFrame to datetime columns. |
Display data
| Node | Description |
|---|---|
| CDA Show Float | Displays a floating-point number as text. |
| CDA Show Int | Displays a Pandas Int as text. |
| Pandas Index To String | Converts a pandas Index to a string representation. |
| Pandas Series To String | Converts a pandas Series to a string representation. |
| Pandas Show Data Frame | Displays a Pandas DataFrame as text. |
| Pandas Show Index | Displays a Pandas Index as text. |
| Pandas Show Series | Displays a Pandas Series as text. |
| Pandas Show Text | Displays a string. |
| Pandas To String | Converts a pandas DataFrame to a string representation. |
| Pt Show Size | Displays PyTorch Size object as a string. |
| Pt Show Text | Displays PyTorch tensor as a string. Note that the tensor is partially printed out when |
IO
| Node | Description |
|---|---|
| CDA Float Create | Creates a Python float using a value entered in the text field. |
| CDA Int Create | Creates a Python int using a value entered in the text field. |
| CDA JSON Create | Creates a serialized JSON object using values entered in the text field. |
| CDA String Create | Creates a Python String using a value entered in a single-line text field. |
| CDA Text Create | Creates a Python String using a value entered in a multi-line text field. |
| Pandas Create | Creates a pandas DataFrame using values entered in the text field. |
| Pandas Create From Dict | Creates a pandas DataFrame from a Python dictionary. |
| Pandas Create From Multiple Dict | Creates a pandas DataFrame from multiple Python dictionaries. |
| Pandas Create From Numpy | Creates a pandas DataFrame from a NumPy ndarray. |
| Pandas Create Series From Dict | Creates a Pandas Series from a Python dictionary. |
| Pandas Create With Index | Creates a pandas DataFrame using values entered in the text field. Input data is assumed to have an index. |
| Pandas Load CSV | Loads CSV files into a pandas DataFrame. |
| Pandas Load CSV With Encoding | Loads CSV files into a pandas DataFrame. |
| Pandas Load CSV With Index | Loads CSV files into a pandas DataFrame. |
| Pandas Load HTML | Scans an HTML file or webpage for tables and returns the number of DataFrames |
| Pandas Load JSON | Loads JSON files into a pandas DataFrame. |
| Pandas Save CSV | Saves a PandasDataFrame to a CSV file. |
| Pandas Save JSON | Saves a PandasDataFrame to a JSON file. |
Math
| Node | Description |
|---|---|
| Pandas Cos | Apply the cosine function to a pandas DataFrame and converting non-numeric values to NaN. |
| Pandas Exp | Apply the exponential function to a pandas DataFrame and converting non-numeric values to NaN. |
| Pandas Log | Applying the natural logarithm function to a pandas DataFrame and converting non-numeric values to NaN. |
| Pandas Sin | Applies the sine function to a pandas DataFrame and converting non-numeric values to NaN. |
| Pandas Tan | Applies the tangent function to a pandas DataFrame and converting non-numeric values to NaN. |
Miscellaneous
| Node | Description |
|---|---|
| Pt Flatten | Flattens a PyTorch tensor into a 1D tensor. |
Numpy
| Node | Description |
|---|---|
| Numpy Float Create | Creates a NumPy ndarray with 32-bit floating point precision |
| Numpy Int Create | Creates a NumPy ndarray with 32-bit integer |
| Numpy Show | Displays a Numpy ndarray as text. |
| Numpy Squeeze | Removes a dimension at the specified position in the input array if it is of size 1. |
Plot
| Node | Description |
|---|---|
| MPL Bar Chart | Generates a bar chart from a Pandas DataFrame. |
| MPL Line Plot | Generates a line plot from a pandas DataFrame. |
| MPL Pie Chart | Generates a pie chart from a pandas DataFrame. |
| MPL Scatter Plot | Generates a scatter plot from a pandas DataFrame. |
| SNS Bar Chart | Generates a bar chart from a Pandas DataFrame using Seaborn. |
| SNS Boxplot | Generates a boxplot from a Pandas DataFrame using Seaborn. |
| SNS Histogram | Generates a histogram from a Pandas DataFrame using Seaborn. |
| SNS Line Plot | Generates a line plot from a pandas DataFrame using Seaborn. |
| SNS Scatter Plot | Generates a scatter plot from a pandas DataFrame using Seaborn. |
PyTorch wrapper - Arithmetic operations
| Node | Description |
|---|---|
| Pt Add | Adds two PyTorch tensors. |
| Pt Div | Divides one PyTorch tensor by another element-wise. |
| Pt Floor Div | Performs element-wise floor division on two PyTorch tensors. |
| Pt Mul | Multiplies two PyTorch tensors element-wise. |
| Pt Pow | Raises one PyTorch tensor to the power of another element-wise. |
| Pt Remainder | Computes the element-wise remainder of division between two PyTorch tensors. |
| Pt Sub | Subtracts one PyTorch tensor from another. |
PyTorch wrapper - Bitwise operations
| Node | Description |
|---|---|
| Pt Bitwise And | Performs a bitwise AND operation on two PyTorch tensors element-wise. |
| Pt Bitwise Left Shift | Performs a bitwise left shift operation on two PyTorch tensors element-wise. |
| Pt Bitwise Not | Performs a bitwise NOT operation on a PyTorch tensor element-wise. |
| Pt Bitwise Or | Performs a bitwise OR operation on two PyTorch tensors element-wise. |
| Pt Bitwise Right Shift | Performs a bitwise right shift operation on two PyTorch tensors element-wise. |
| Pt Bitwise Xor | Performs a bitwise XOR operation on two PyTorch tensors element-wise. |
PyTorch wrapper - Comparison operations
| Node | Description |
|---|---|
| Pt Eq | Tests whether two PyTorch tensors are equal element-wise. |
| Pt Ge | Tests whether elements in the first PyTorch tensor are greater than or equal to the corresponding elements in the second tensor. |
| Pt Gt | Tests whether elements in the first PyTorch tensor are greater than the corresponding elements in the second tensor. |
| Pt Le | Tests whether elements in the first PyTorch tensor are less than or equal to the corresponding elements in the second tensor. |
| Pt Lt | Tests whether elements in the first PyTorch tensor are less than the corresponding elements in the second tensor. |
| Pt Ne | Tests whether two PyTorch tensors are not equal element-wise. |
PyTorch wrapper - Indexing and Slicing Operations
| Node | Description |
|---|---|
| Pt Gather | Generates a tensor based on the index tensor using PyTorch's gather function. |
| Pt Index Select | Extracts elements from the input tensor along a specified dimension using an index tensor. |
| Pt Masked Select | Extracts elements from the input tensor whose corresponding value in masked_tens is True. |
| Pt Scatter | Generates a new tensor by replacing values at specified positions using an index tensor. |
| Pt Where | Generates a new tensor by selecting values based on a condition tensor. |
PyTorch wrapper - Logical operations
| Node | Description |
|---|---|
| Pt Logical And | Performs a logical AND operation on two PyTorch tensors element-wise. |
| Pt Logical Not | Performs a logical NOT operation on a PyTorch tensor element-wise. |
| Pt Logical Or | Performs a logical OR operation on two PyTorch tensors element-wise. |
| Pt Logical Xor | Performs a logical XOR operation on two PyTorch tensors element-wise. |
PyTorch wrapper - Math operations
| Node | Description |
|---|---|
| Pt Abs | Computes the absolute value of each element in a PyTorch tensor. |
| Pt Acos | Computes the arccosine (inverse cosine) of a PyTorch tensor element-wise. |
| Pt Asin | Computes the arcsine (inverse sine) of a PyTorch tensor element-wise. |
| Pt Atan | Computes the arc tangent (inverse tangent) of a PyTorch tensor element-wise. |
| Pt Cos | Computes the cosine of a PyTorch tensor element-wise. |
| Pt Cosh | Computes the hyperbolic cosine of a PyTorch tensor element-wise. |
| Pt Exp | Performs an exponential operation on a PyTorch tensor element-wise. |
| Pt Log | Computes the natural logarithm (log base e) of a PyTorch tensor element-wise. |
| Pt Neg | Computes the negation of each element in a PyTorch tensor. |
| Pt Sin | Computes the sine of a PyTorch tensor element-wise. |
| Pt Sinh | Computes the hyperbolic sine of a PyTorch tensor element-wise. |
| Pt Sqrt | Computes the square root of each element in a PyTorch tensor. |
| Pt Tan | Computes the tangent of a PyTorch tensor element-wise. |
| Pt Tanh | Computes the hyperbolic tangent of a PyTorch tensor element-wise. |
PyTorch wrapper - Matrix operations
| Node | Description |
|---|---|
| Pt Bmm | Performs batched matrix multiplication on two 3D PyTorch tensors. |
| Pt Einsum | Performs Tensor operations specified in the Einstein summation equation. |
| Pt Mat Mul | Performs matrix multiplication on two PyTorch tensors. |
| Pt Mm | Performs 2D matrix multiplication on two PyTorch tensors. |
PyTorch wrapper - Reduction operation & Summary statistics
| Node | Description |
|---|---|
| Pt Argmax | Computes the indices of the maximum values of a PyTorch tensor along the specified dimension(s). |
| Pt Argmin | Computes the indices of the minimum values of a PyTorch tensor along the specified dimension(s). |
| Pt Max | Computes the maximum values of a PyTorch tensor along the specified dimension(s). |
| Pt Mean | Computes the mean of a PyTorch tensor along the specified dimension(s). |
| Pt Median | Computes the median of a PyTorch tensor along the specified dimension(s). |
| Pt Min | Computes the minimum values of a PyTorch tensor along the specified dimension(s). |
| Pt Prod | Computes the product of a PyTorch tensor along the specified dimension(s). |
| Pt Std | Computes the standard deviation of a PyTorch tensor along the specified dimension(s). |
| Pt Sum | Computes the sum of a PyTorch tensor along the specified dimension(s). |
| Pt Var | Computes the variance of a PyTorch tensor along the specified dimension(s). |
PyTorch wrapper - Size object support
| Node | Description |
|---|---|
| Pt Size | Extracts the PyTorch Size object of a PyTorch tensor using the size() method. |
| Pt Size Create | Creates a PyTorch Size using values entered in the text field. |
| Pt Size To Numpy | Converts PyTorch Size object to NumPy ndarray. |
| Pt Size To String | Converts PyTorch Size object to a Python string. |
PyTorch wrapper - Tensor creation
| Node | Description |
|---|---|
| Pt Bool Create | Creates a PyTorch tensor of dtype bool from True or False values entered as a list in the text field. |
| Pt Float Create | Creates a PyTorch tensor with 32-bit floating point precision |
| Pt From Image | Casts an Image tensor as a PyTorch tensor. |
| Pt From Latent | Casts a latent tensor as a PyTorch tensor. |
| Pt From Numpy | Converts a NumPy ndarray to a PyTorch tensor while preserving its data type. |
| Pt Full | Creates a PyTorch tensor filled with a specified value using the size entered in the text field. |
| Pt Int Create | Creates a PyTorch tensor with 32-bit integer |
| Pt Ones | Creates a PyTorch tensor of ones using the size entered in the text field. |
| Pt Rand | Creates a PyTorch tensor with values sampled from a uniform distribution |
| Pt Rand Int | Creates a PyTorch tensor filled with random integers within a specified range using the size entered in the text field. |
| Pt Randn | Creates a PyTorch tensor with values sampled from a standard normal distribution (mean=0, std=1) |
| Pt Zeros | Creates a PyTorch tensor of zeros using the size entered in the text field. |
PyTorch wrapper - Tensor data conversion
| Node | Description |
|---|---|
| Pt To Image | Casts a PyTorch tensor as an Image tensor. |
| Pt To Latent | Casts a PyTorch tensor as a latent tensor. |
| Pt To Numpy | Converts PyTorch tensor to NumPy ndarray. |
| Pt To Rgb Tensors | Splits a PyTorch tensor into R, G, and B tensors. |
PyTorch wrapper - Transform
| Node | Description |
|---|---|
| Pt Permute | Permutes the dimensions of a PyTorch tensor according to the specified order. |
| Pt Reshape | Reshapes a PyTorch tensor into a specified shape using torch.reshape(). |
| Pt Squeeze | Removes a dimension at the specified position in the input tensor if it is of size 1. |
| Pt Unsqueeze | Adds a singleton dimension at the specified position in the input tensor. |
| Pt View | Reshapes a PyTorch tensor into a specified shape using torch.view(). |
Python wrapper
| Node | Description |
|---|---|
| Py Kv Float Create | Creates a Python dictionary with a string key and a float value. |
| Py Kv Int Create | Creates a Python dictionary with an string key and an integer value. |
| Py Kv String Create | Creates a Python dictionary with a string key and a string value. |
Summary statistics
| Node | Description |
|---|---|
| Pandas Corr | Computes the correlation of the DataFrame. You can select from the Pearson, Kendall or Spearman methods. |
| Pandas Count | Computes the count of a pandas DataFrame. |
| Pandas Cov | Computes the covariance of the DataFrame. |
| Pandas Kurtosis | Computes the unbiased kurtosis of the DataFrame. |
| Pandas Max | Computes the max of a pandas DataFrame. |
| Pandas Mean | Computes the mean of a pandas DataFrame. |
| Pandas Median | Computes the median of a pandas DataFrame. |
| Pandas Min | Computes the min of a pandas DataFrame. |
| Pandas Mode | Computes the mode of a pandas DataFrame. |
| Pandas Skew | Computes the unbiased skewness of the DataFrame. |
| Pandas Std | Computes the standard deviation of a pandas DataFrame. |
| Pandas Sum | Computes the sum of a pandas DataFrame. |
| Pandas Summary | Analyzes and summarizes a pandas DataFrame. |
| Pandas Var | Computes the variance of a pandas DataFrame. |
Transformation
| Node | Description |
|---|---|
| Pandas Feature Split To Numpy | Splits a Pandas DataFrame into feature Numpy ndarray and label Numpy ndarray. |
| Pandas Horizontal Concat | Horizontally concatenates two pandas DataFrames. |
| Pandas Horizontal Split | Horizontally splits a Pandas DataFrame into two pandas DataFrames. |
| Pandas Join | Merges two pandas DataFrames based on a common column. |
| Pandas Melt | Performs an unpivot operation (melt) on a pandas DataFrame. |
| Pandas Pivot | Computes a pivot table from a pandas DataFrame. |
| Pandas Rename | Renames an index (row label) or a column label. |
| Pandas Series To Data Frame | Converts a Pandas Series to a DataFrame. |
| Pandas Set Index | Create index (row label) from existing column or columns. |
| Pandas Sort | Sorts a pandas DataFrame by a specified column. |
| Pandas Transpose | Transposes a DataFrame. |
| Pandas Vertical Concat | Vertically concatenates two pandas DataFrames. |
| Pandas Vertical Split | Vertically splits a Pandas DataFrame into two pandas DataFrames. |