240 lines
21 KiB
Markdown
240 lines
21 KiB
Markdown
# Node Reference
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## Aggregation
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| Node | Description |
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| --- | --- |
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| [Pandas Group By](pandas_group_by.md) | Computes aggregate values for groups in a DataFrame. |
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## Arithmetic method
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| Node | Description |
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| --- | --- |
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| [Pandas Add](pandas_add.md) | Adds two pandas DataFrames. |
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| [Pandas Add Scalar Float](pandas_add_scalar_float.md) | Adds a floating-point number to a Pandas DataFrame. |
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| [Pandas Add Scalar Int](pandas_add_scalar_int.md) | Adds an integer to a Pandas DataFrame. |
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| [Pandas Add Series](pandas_add_series.md) | Adds a Pandas Series to a pandas DataFrames. |
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| [Pandas Div](pandas_div.md) | Divides a Pandas DataFrame by another DataFrame. |
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| [Pandas Div Scalar Float](pandas_div_scalar_float.md) | Divides a Pandas DataFrame by a floating-point number. |
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| [Pandas Div Scalar Int](pandas_div_scalar_int.md) | Divides a Pandas DataFrame by an integer. |
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| [Pandas Div Series](pandas_div_series.md) | Divides a Pandas DataFrame by a Pandas Series. |
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| [Pandas Mul](pandas_mul.md) | Multiplies two pandas DataFrames. |
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| [Pandas Mul Scalar Float](pandas_mul_scalar_float.md) | Multiplies a Pandas DataFrame by a floating-point number. |
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| [Pandas Mul Scalar Int](pandas_mul_scalar_int.md) | Multiplies a Pandas DataFrame by a floating-point number. |
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| [Pandas Mul Series](pandas_mul_series.md) | Multiplies a Pandas DataFrame by a Pandas Series. |
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| [Pandas Pow](pandas_pow.md) | Exponentiates two pandas DataFrames. |
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| [Pandas Pow Scalar Float](pandas_pow_scalar_float.md) | Raises a Pandas DataFrame to the power of a floating-point number. |
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| [Pandas Pow Scalar Int](pandas_pow_scalar_int.md) | Raises a Pandas DataFrame to the power of an integer. |
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| [Pandas Pow Series](pandas_pow_series.md) | Raises a Pandas DataFrame to the power of a Pandas Series. |
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| [Pandas Sub](pandas_sub.md) | Subtracts a Pandas DataFrame from another DataFrame. |
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| [Pandas Sub Scalar Float](pandas_sub_scalar_float.md) | Subtracts a floating-point number from a Pandas DataFrame. |
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| [Pandas Sub Scalar Int](pandas_sub_scalar_int.md) | Subtracts an integer from a Pandas DataFrame. |
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| [Pandas Sub Series](pandas_sub_series.md) | Subtracts a Pandas Series from a Pandas DataFrame. |
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## Categorical summary
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| Node | Description |
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| --- | --- |
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| [Pandas Crosstab](pandas_crosstab.md) | Creates a contingency table (crosstab, or cross-tabulation) from two or more columns in a DataFrame. |
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| [Pandas Value Counts](pandas_value_counts.md) | Creates a frequency table from one or more columns in a DataFrame. |
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## Cumulative calculations
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| Node | Description |
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| --- | --- |
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| [Pandas Cummax](pandas_cummax.md) | Computes the cummax (cumulative max) of the DataFrame. |
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| [Pandas Cummin](pandas_cummin.md) | Computes the cummin (cumulative minimum) of the DataFrame. |
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| [Pandas Cumprod](pandas_cumprod.md) | Computes the cumprod (cumulative product) of the DataFrame. |
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| [Pandas Cumsum](pandas_cumsum.md) | Computes the cumsum (cumulative sum) of the DataFrame. |
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## Data cleansing
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| Node | Description |
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| --- | --- |
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| [Pandas Drop Duplicates](pandas_drop_duplicates.md) | Drops duplicate rows from a Pandas DataFrame. |
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| [Pandas Drop NA](pandas_dropna.md) | Drops missing values from a pandas DataFrame. |
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| [Pandas Fill NA Scalar Float](pandas_fillna_scalar_float.md) | Replaces missing values in a Pandas DataFrame with a floating-point number. |
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| [Pandas Fill NA Scalar Int](pandas_fillna_scalar_int.md) | Replaces missing values in a Pandas DataFrame with an integer. |
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| [Pandas Is NA](pandas_isna.md) | Checks a pandas DataFrame for missing values. |
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| [Pandas Replace](pandas_replace.md) | 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. |
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| [Pandas Replace Advanced](pandas_replace_advanced.md) | Replaces strings in a DataFrame cell using a mapping specified in a dictionary. |
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## Data subset selection
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| Node | Description |
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| --- | --- |
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| [Pandas At Datetime](pandas_at_datetime.md) | Selects a cell from a pandas DataFrame and output as a Python datetime.datetime data. |
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| [Pandas At Float](pandas_at_float.md) | Selects a cell from a pandas DataFrame and output as a Python float. |
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| [Pandas At Int](pandas_at_int.md) | Selects a cell from a pandas DataFrame and output as a Python int. |
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| [Pandas At String](pandas_at_string.md) | Selects a cell from a pandas DataFrame and output as a string. |
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| [Pandas Boolean Index](pandas_boolean_index.md) | Selects rows from a pandas DataFrame based on the boolean index in the Series. |
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| [Pandas Head](pandas_head.md) | Retrieves the first few rows of a pandas DataFrame. |
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| [Pandas Iat Datetime](pandas_iat_datetime.md) | Selects a cell from a pandas DataFrame and output as a Python datetime.datetime data. |
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| [Pandas Iat Float](pandas_iat_float.md) | Selects a cell from a pandas DataFrame and output as a Python float. |
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| [Pandas Iat Int](pandas_iat_int.md) | Selects a cell from a pandas DataFrame and output as a Python int. |
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| [Pandas Iat String](pandas_iat_string.md) | Selects a cell from a pandas DataFrame and output as a string. |
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| [Pandas Iloc Row Series](pandas_iloc_row_series.md) | Selects a row from a pandas DataFrame and returning it as a Series. |
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| [Pandas Iloc Rows Data Frame](pandas_iloc_rows_dataframe.md) | Selects rows from a pandas DataFrame and returning it as a DataFrame. |
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| [Pandas Iloc Rows Slice Data Frame](pandas_iloc_rows_slice_dataframe.md) | 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. |
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| [Pandas Loc Cell String](pandas_loc_cell_string.md) | Selects a cell from a pandas DataFrame and output as a string. |
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| [Pandas Loc Row MultiIndex DataFrame](pandas_loc_row_multiindex_dataframe.md) | Selects a row or rows from a pandas DataFrame with MultiIndex and output as a DataFrame. |
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| [Pandas Loc Row Series](pandas_loc_row_series.md) | Selects a row from a pandas DataFrame and output as a Series. |
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| [Pandas Select Column As Series](pandas_select_column_as_series.md) | Selects specific column as Series from a pandas DataFrame. |
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| [Pandas Select Columns](pandas_select_columns.md) | Selects specific columns from a pandas DataFrame. |
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| [Pandas Select Rows](pandas_select_rows.md) | Selects specific rows from a pandas DataFrame based on a condition. This node internally calls DataFrame.query(). |
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| [Pandas Xs](pandas_xs.md) | Selects a subset of a Pandas DataFrame using specified index labels or positions. |
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## Data type conversion
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| Node | Description |
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| --- | --- |
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| [Pandas As Float](pandas_as_float.md) | Converts all cells in a pandas DataFrame to float type. |
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| [Pandas As Int](pandas_as_int.md) | Converts all cells in a pandas DataFrame to integer type. |
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| [Pandas As String](pandas_as_string.md) | Converts all cells in a pandas DataFrame to string type. |
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| [Pandas To Numpy](pandas_to_numpy.md) | Converts a pandas DataFrame to Numpy ndarray. |
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## DataFrame information
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| Node | Description |
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| --- | --- |
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| [Pandas Columns](pandas_columns.md) | Retrieves the column labels of a pandas DataFrame. |
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| [Pandas Index](pandas_index.md) | Retrieves the row labels (index) of a pandas DataFrame. |
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## Date and time processing
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| Node | Description |
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| --- | --- |
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| [Pandas Strftime](pandas_strftime.md) | Converts one or more datetime columns in a DataFrame to string columns. |
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| [Pandas To Datetime](pandas_to_datetime.md) | Converts one or more string columns in a DataFrame to datetime columns. |
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## Display data
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| Node | Description |
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| [CDA Show Float](cda_show_float.md) | Displays a floating-point number as text. |
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| [CDA Show Int](cda_show_int.md) | Displays a Pandas Int as text. |
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| [Pandas Index To String](pandas_index_to_string.md) | Converts a pandas Index to a string representation. |
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| [Pandas Series To String](pandas_series_to_string.md) | Converts a pandas Series to a string representation. |
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| [Pandas Show Data Frame](pandas_show_dataframe.md) | Displays a Pandas DataFrame as text. |
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| [Pandas Show Index](pandas_show_index.md) | Displays a Pandas Index as text. |
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| [Pandas Show Series](pandas_show_series.md) | Displays a Pandas Series as text. |
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| [Pandas Show Text](pandas_show_text.md) | Displays a string. |
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| [Pandas To String](pandas_to_string.md) | Converts a pandas DataFrame to a string representation. |
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## IO
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| Node | Description |
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| --- | --- |
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| [CDA Float Create](cda_float_create.md) | Creates a Python float using a value entered in the text field. |
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| [CDA Int Create](cda_int_create.md) | Creates a Python int using a value entered in the text field. |
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| [CDA JSON Create](cda_json_create.md) | Creates a serialized JSON object using values entered in the text field. |
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| [CDA String Create](cda_string_create.md) | Creates a Python String using a value entered in a single-line text field. |
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| [CDA Text Create](cda_text_create.md) | Creates a Python String using a value entered in a multi-line text field. |
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| [Pandas Create](pandas_create.md) | Creates a pandas DataFrame using values entered in the text field. |
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| [Pandas Create From Dict](pandas_create_from_dict.md) | Creates a pandas DataFrame from a Python dictionary. |
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| [Pandas Create From Dict Index List](pandas_create_from_dict_index_list.md) | Creates a pandas DataFrame from a Python dictionary and a list for index. |
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| [Pandas Create From Multiple Dict](pandas_create_from_multiple_dict.md) | Creates a pandas DataFrame from multiple Python dictionaries. |
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| [Pandas Create From Numpy](pandas_create_from_numpy.md) | Creates a pandas DataFrame from a NumPy ndarray. |
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| [Pandas Create From Tensor](pandas_create_from_tensor.md) | Creates a pandas DataFrame from a PyTorch tensor. |
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| [Pandas Create Series From Dict](pandas_create_series_from_dict.md) | Creates a Pandas Series from a Python dictionary. |
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| [Pandas Create Series From List](pandas_create_series_from_list.md) | Creates a Pandas Series from a Python list. |
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| [Pandas Create Series From List Index List](pandas_create_series_from_list_index_list.md) | Creates a Pandas Series from a Python list of cell values and a list for index. |
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| [Pandas Create With Index](pandas_create_with_index.md) | Creates a pandas DataFrame using values entered in the text field. Input data is assumed to have an index. |
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| [Pandas Load CSV](pandas_load_csv.md) | Loads CSV files into a pandas DataFrame. |
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| [Pandas Load CSV With Encoding](pandas_load_csv_with_encoding.md) | Loads CSV files into a pandas DataFrame. |
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| [Pandas Load CSV With Index](pandas_load_csv_with_index.md) | Loads CSV files into a pandas DataFrame. |
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| [Pandas Load Excel](pandas_load_excel.md) | Loads Excel files into a pandas DataFrame. |
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| [Pandas Load HTML](pandas_load_html.md) | Scans an HTML file or webpage for tables and returns the number of DataFrames |
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| [Pandas Load JSON](pandas_load_json.md) | Loads JSON files into a pandas DataFrame. |
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| [Pandas Save CSV](pandas_save_csv.md) | Saves a PandasDataFrame to a CSV file. |
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| [Pandas Save JSON](pandas_save_json.md) | Saves a PandasDataFrame to a JSON file. |
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## Logical operations
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| Node | Description |
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| [Pandas Eq](pandas_eq.md) | Determines whether each element in the first pandas DataFrame is equal to the corresponding element in the second DataFrame. |
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| [Pandas Eq Scalar Float](pandas_eq_scalar_float.md) | Determines whether each element in the pandas DataFrame is equal to the float. |
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| [Pandas Eq Scalar Int](pandas_eq_scalar_int.md) | Determines whether each element in the pandas DataFrame is equal to the int. |
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| [Pandas Ge](pandas_ge.md) | Determines whether each element in the first pandas DataFrame is greater than or equal to the corresponding element in the second DataFrame. |
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| [Pandas Ge Scalar Float](pandas_ge_scalar_float.md) | Determines whether each element in the pandas DataFrame is greater than or equal to the float. |
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| [Pandas Ge Scalar Int](pandas_ge_scalar_int.md) | Determines whether each element in the pandas DataFrame is greater than or equal to the int. |
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| [Pandas Gt](pandas_gt.md) | Determines whether each element in the first pandas DataFrame is greater than the corresponding element in the second DataFrame. |
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| [Pandas Gt Scalar Float](pandas_gt_scalar_float.md) | Determines whether each element in the pandas DataFrame is greater than the float. |
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| [Pandas Gt Scalar Int](pandas_gt_scalar_int.md) | Determines whether each element in the pandas DataFrame is greater than the int. |
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| [Pandas Le](pandas_le.md) | Determines whether each element in the first pandas DataFrame is less than or equal to the corresponding element in the second DataFrame. |
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| [Pandas Le Scalar Float](pandas_le_scalar_float.md) | Determines whether each element in the pandas DataFrame is less than or equal to the float. |
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| [Pandas Le Scalar Int](pandas_le_scalar_int.md) | Determines whether each element in the pandas DataFrame is less than or equal to the int. |
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| [Pandas Lt](pandas_lt.md) | Determines whether each element in the first pandas DataFrame is less than the corresponding element in the second DataFrame. |
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| [Pandas Lt Scalar Float](pandas_lt_scalar_float.md) | Determines whether each element in the pandas DataFrame is less than the float. |
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| [Pandas Lt Scalar Int](pandas_lt_scalar_int.md) | Determines whether each element in the pandas DataFrame is less than the int. |
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| [Pandas Ne](pandas_ne.md) | Determines whether each element in the first pandas DataFrame is not equal to the corresponding element in the second DataFrame. |
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| [Pandas Ne Scalar Float](pandas_ne_scalar_float.md) | Determines whether each element in the pandas DataFrame is not equal to the float. |
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| [Pandas Ne Scalar Int](pandas_ne_scalar_int.md) | Determines whether each element in the pandas DataFrame is not equal to the int. |
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## Math
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| Node | Description |
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| [Pandas Cos](pandas_cos.md) | Apply the cosine function to a pandas DataFrame and converting non-numeric values to NaN. |
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| [Pandas Exp](pandas_exp.md) | Apply the exponential function to a pandas DataFrame and converting non-numeric values to NaN. |
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| [Pandas Log](pandas_log.md) | Applying the natural logarithm function to a pandas DataFrame and converting non-numeric values to NaN. |
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| [Pandas Sin](pandas_sin.md) | Applies the sine function to a pandas DataFrame and converting non-numeric values to NaN. |
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| [Pandas Tan](pandas_tan.md) | Applies the tangent function to a pandas DataFrame and converting non-numeric values to NaN. |
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## Numpy
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| Node | Description |
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| [Numpy Float Create](numpy_float_create.md) | Creates a NumPy ndarray with 32-bit floating point precision |
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| [Numpy Int Create](numpy_int_create.md) | Creates a NumPy ndarray with 32-bit integer |
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| [Numpy Show](numpy_show.md) | Displays a Numpy ndarray as text. |
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| [Numpy Squeeze](numpy_squeeze.md) | Removes a dimension at the specified position in the input array if it is of size 1. |
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## Plot
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| Node | Description |
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| [MPL Bar Chart](mpl_bar.md) | Generates a bar chart from a Pandas DataFrame. |
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| [MPL Line Plot](mpl_line.md) | Generates a line plot from a pandas DataFrame. |
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| [MPL Pie Chart](mpl_pie_chart.md) | Generates a pie chart from a pandas DataFrame. |
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| [MPL Scatter Plot](mpl_scatter.md) | Generates a scatter plot from a pandas DataFrame. |
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| [SNS Bar Chart](sns_bar.md) | Generates a bar chart from a Pandas DataFrame using Seaborn. |
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| [SNS Bar Chart Pt](sns_bar_pt.md) | Generates a bar chart from a PyTorch tensor using Seaborn. |
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| [SNS Boxplot](sns_boxplot.md) | Generates a boxplot from a Pandas DataFrame using Seaborn. |
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| [SNS Heatmap](sns_heatmap.md) | Generates a heatmap from a Pandas DataFrame using Seaborn. |
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| [SNS Histogram](sns_histogram.md) | Generates a histogram from a Pandas DataFrame using Seaborn. |
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| [SNS Histogram Pt](sns_histogram_pt.md) | Generates a histogram from a PyTorch tensor using Seaborn. |
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| [SNS Line Plot](sns_line.md) | Generates a line plot from a pandas DataFrame using Seaborn. |
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| [SNS Line Plot Pt](sns_line_pt.md) | Generates a line plot from a PyTorch tensor using Seaborn. |
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| [SNS Pairplot](sns_pairplot.md) | Generates a pairplot from a Pandas DataFrame using Seaborn. |
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| [SNS Scatter Plot](sns_scatter.md) | Generates a scatter plot from a pandas DataFrame using Seaborn. |
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| [SNS Scatter Plot Pt](sns_scatter_pt.md) | Generates a scatter plot from a PyTorch tensor using Seaborn. |
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## Python wrapper
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| Node | Description |
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| [Py Datetime To String](py_datetime_to_string.md) | Converts a Python datetime.datetime value to a Python string |
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| [Py Float To String](py_float_to_string.md) | Converts a Python float value to a Python string |
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| [Py Int To String](py_int_to_string.md) | Converts a Python int value to a Python string |
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| [Py Kv Float Create](py_kv_float_create.md) | Creates a Python dictionary with a string key and a float value. |
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| [Py Kv Int Create](py_kv_int_create.md) | Creates a Python dictionary with an string key and an integer value. |
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| [Py Kv String Create](py_kv_string_create.md) | Creates a Python dictionary with a string key and a string value. |
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| [Py String To Datetime](py_string_to_datetime.md) | Converts a Python string to a Python datetime.datetime. |
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| [Py String To Dict](py_string_to_dict.md) | Creates a Python dictionary using the string values entered in the text field. |
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| [Py String To Float](py_string_to_float.md) | Converts a Python string to a float. |
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| [Py String To Int](py_string_to_int.md) | Converts a Python string to an int. |
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| [Py String To List](py_string_to_list.md) | Creates a Python list using the string values entered in the text field. |
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## Summary statistics
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| Node | Description |
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| [Pandas Corr](pandas_corr.md) | Computes the correlation of the DataFrame. You can select from the Pearson, Kendall or Spearman methods. |
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| [Pandas Count](pandas_count.md) | Computes the count of a pandas DataFrame. |
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| [Pandas Cov](pandas_cov.md) | Computes the covariance of the DataFrame. |
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| [Pandas Kurtosis](pandas_kurtosis.md) | Computes the unbiased kurtosis of the DataFrame. |
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| [Pandas Max](pandas_max.md) | Computes the max of a pandas DataFrame. |
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| [Pandas Mean](pandas_mean.md) | Computes the mean of a pandas DataFrame. |
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| [Pandas Median](pandas_median.md) | Computes the median of a pandas DataFrame. |
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| [Pandas Min](pandas_min.md) | Computes the min of a pandas DataFrame. |
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| [Pandas Mode](pandas_mode.md) | Computes the mode of a pandas DataFrame. |
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| [Pandas Skew](pandas_skew.md) | Computes the unbiased skewness of the DataFrame. |
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| [Pandas Std](pandas_std.md) | Computes the standard deviation of a pandas DataFrame. |
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| [Pandas Sum](pandas_sum.md) | Computes the sum of a pandas DataFrame. |
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| [Pandas Summary](pandas_summary.md) | Analyzes and summarizes a pandas DataFrame. |
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| [Pandas Var](pandas_var.md) | Computes the variance of a pandas DataFrame. |
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## Transformation
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| Node | Description |
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| [Pandas At Set Datetime](pandas_at_set_datetime.md) | Sets a Python datetime.datetime data in a cell in a pandas DataFrame. |
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| [Pandas At Set Float](pandas_at_set_float.md) | Sets a Python float data in a cell in a pandas DataFrame. |
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| [Pandas At Set Int](pandas_at_set_int.md) | Sets a Python int data in a cell in a pandas DataFrame. |
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| [Pandas At Set String](pandas_at_set_string.md) | Sets a Python string data in a cell in a pandas DataFrame. |
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| [Pandas Feature Split To Numpy](pandas_feature_split_to_numpy.md) | Splits a Pandas DataFrame into feature Numpy ndarray and label Numpy ndarray. |
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| [Pandas Feature Split To Pt](pandas_feature_split_to_pt.md) | Splits a Pandas DataFrame into feature PyTorch tensor and label PyTorch tensor. |
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| [Pandas Horizontal Concat](pandas_horizontal_concat.md) | Horizontally concatenates two pandas DataFrames. |
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| [Pandas Horizontal Split](pandas_horizontal_split.md) | Horizontally splits a Pandas DataFrame into two pandas DataFrames. |
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| [Pandas Iat Set Datetime](pandas_iat_set_datetime.md) | Sets a Python datetime.datetime data in a cell in a pandas DataFrame. |
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| [Pandas Iat Set Float](pandas_iat_set_float.md) | Sets a Python float data in a cell from a pandas DataFrame. |
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| [Pandas Iat Set Int](pandas_iat_set_int.md) | Sets a Python int data in a cell from a pandas DataFrame. |
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| [Pandas Iat Set String](pandas_iat_set_string.md) | Sets a Python string in a cell in a pandas DataFrame. |
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| [Pandas Join](pandas_join.md) | Merges two pandas DataFrames based on a common column. |
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| [Pandas Melt](pandas_melt.md) | Performs an unpivot operation (melt) on a pandas DataFrame. |
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| [Pandas Pivot](pandas_pivot.md) | Computes a pivot table from a pandas DataFrame. |
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| [Pandas Rename](pandas_rename.md) | Renames an index (row label) or a column label. |
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| [Pandas Rename Advanced](pandas_rename_advanced.md) | Renames one or more indices (row labels) or column labels to new labels. |
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| [Pandas Series To Data Frame](pandas_series_to_dataframe.md) | Converts a Pandas Series to a DataFrame. |
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| [Pandas Set Index](pandas_set_index.md) | Create index (row label) from existing column or columns. |
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| [Pandas Sort](pandas_sort.md) | Sorts a pandas DataFrame by a specified column. |
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| [Pandas Transpose](pandas_transpose.md) | Transposes a DataFrame. |
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| [Pandas Vertical Concat](pandas_vertical_concat.md) | Vertically concatenates two pandas DataFrames. |
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| [Pandas Vertical Split](pandas_vertical_split.md) | Vertically splits a Pandas DataFrame into two pandas DataFrames. |
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