Python Pandas

Pandas is a Python library that enables fast, flexible, and expressive data analysis and manipulation of structured data.

Python Pandas is a leading open-source data analysis and manipulation library, widely used for transforming and processing structured data. This connector enables Swimlane Turbine users to seamlessly read, write, and transform Excel files and DataFrames within automated workflows—without writing code. With robust actions for converting between Excel and DataFrame formats, extracting sheet names, and applying advanced formatting, users can automate complex data handling tasks directly in their security playbooks. Integrating Python Pandas with Swimlane Turbine empowers security teams to streamline data enrichment, reporting, and analysis, accelerating decision-making and operational efficiency.

Limitations

None to date.

Supported Versions

This Python Pandas Connector uses the version pandas sdk.

Additional Docs

API Documentation

Configuration

Prerequisites

Authentication is not Required.

Capabilities

This Connector provides the following capabilities:

DataFrame to Excel

Excel Sheet Names

ExcelFile

ExcelFile Book

ExcelWriter

Parse Specific Sheet

Read Excel File

Styler to an Excel

DataFrame to Excel

Converts a DataFrame into an Excel file, allowing data manipulation and analysis within Python Pandas Click Here.

Excel Sheet Names

Retrieve a list of sheet names from the specified Excel file using Python Pandas Click Here.

ExcelFile

Parse tabular Excel sheets into DataFrame objects for data manipulation and analysis using Python Pandas Click Here.

ExcelFile Book

Imports all sheets from an Excel file into a dictionary with sheet names as keys, requiring the 'files' input Click Here.

ExcelWriter

Write DataFrame objects into Excel sheets using Python Pandas, requiring a 'dataframes' input Click Here.

Parse Specific Sheet

Converts a specified sheet from an Excel file into a dictionary format using Python Pandas Click Here.

Read Excel File

Converts an Excel file into a dictionary format for data manipulation and analysis using Python Pandas Click Here.

Styler to an Excel

Write a Pandas Styler object to an Excel sheet, requiring a specified file as input Click Here.

Actions

DataFrame to Excel

Convert a specified DataFrame into an Excel file for easy data manipulation and analysis using Python Pandas.

Endpoint

Method: GET

Input

Argument Name	Type	Required	Description
dataframe	object	Required	DataFrame to be written to the Excel file.
input_parameters	object	Optional	Parameters for the Excel file.

Input Example

{"dataframe":{},"input_parameters":{}}

Output

Parameter	Type	Description
file	object	Output field: file
file.file	string	Output field: file.file
file.file_name	string	Name of the resource

Output Example

{"file":{"file":"string","file_name":"Example Name"}}

Excel Sheet Names

Retrieve all sheet names from an uploaded Excel file using Python Pandas by providing the required file input.

Endpoint

Method: GET

Input

Argument Name	Type	Required	Description
files	object	Required	Retrieve a list of sheet names from the specified Excel file using Python Pandas.
files.file	string	Optional	Parameter for Excel Sheet Names
files.file_name	string	Optional	Name of the resource

Input Example

{"files":{"file":"string","file_name":"Example Name"}}

Output

Parameter	Type	Description
sheet_names	array	Name of the resource

Output Example

{"sheet_names":["Math","Science","English"]}

ExcelFile

Convert Excel files into Python Pandas DataFrame objects for streamlined data analysis and manipulation.

Endpoint

Method: POST

Input

Argument Name	Type	Required	Description
files	object	Required	Parse tabular Excel sheets into DataFrame objects for data manipulation and analysis using Python Pandas.
files.file	string	Optional	Parameter for ExcelFile
files.file_name	string	Optional	Name of the resource
input_parameters	object	Optional	Parameters for the ExcelFile action

Input Example

{"files":{"file":"string","file_name":"Example Name"},"input_parameters":{}}

Output

Parameter	Type	Description
Sheet Names	object	Name of the resource
Sheet Names.Math	array	Name of the resource
Sheet Names.Math.Name	string	Name of the resource
Sheet Names.Math.Score	number	Name of the resource
Sheet Names.Science	array	Name of the resource
Sheet Names.Science.Name	string	Name of the resource
Sheet Names.Science.Score	number	Name of the resource
Sheet Names.English	array	Name of the resource
Sheet Names.English.Name	string	Name of the resource
Sheet Names.English.Score	number	Name of the resource

Output Example

{"Sheet Names":{"Math":[{},{},{}],"Science":[{},{},{}],"English":[{},{},{}]}}

ExcelFile Book

Import all sheets from an Excel file into a dictionary, using each sheet's name as the key. Requires the 'files' input.

Endpoint

Method: GET

Input

Argument Name	Type	Required	Description
files	object	Required	Imports all sheets from an Excel file into a dictionary with sheet names as keys, requiring the file input.
files.file	string	Optional	Parameter for ExcelFile Book
files.file_name	string	Optional	Name of the resource

Input Example

{"files":{"file":"string","file_name":"Example Name"}}

Output

Parameter	Type	Description
sheets_data	object	Response data
sheets_data.Math	array	Response data
sheets_data.Math.Name	string	Response data
sheets_data.Math.Score	number	Response data
sheets_data.Science	array	Response data
sheets_data.Science.Name	string	Response data
sheets_data.Science.Score	number	Response data
sheets_data.English	array	Response data
sheets_data.English.Name	string	Response data
sheets_data.English.Score	number	Response data
total_sheets	number	Output field: total_sheets

Output Example

{"sheets_data":{"Math":[{},{},{}],"Science":[{},{},{}],"English":[{},{},{}]},"total_sheets":3}

ExcelWriter

Write DataFrame objects to Excel sheets using Python Pandas, requiring a 'dataframes' input for successful operation.

Endpoint

Method: POST

Input

Argument Name	Type	Required	Description
dataframes	array	Required	List of DataFrames to be written to the Excel file.
input_parameters	object	Optional	Parameters for the Excel file.

Input Example

{"dataframes":[],"input_parameters":{}}

Output

Parameter	Type	Description
file	object	Output field: file
file.file	string	Output field: file.file
file.file_name	string	Name of the resource

Output Example

{"file":{"file":"string","file_name":"Example Name"}}

Parse Specific Sheet

Convert a specified sheet from an uploaded Excel file into a dictionary format using Python Pandas by providing the file and sheet name.

Endpoint

Method: GET

Input

Argument Name	Type	Required	Description
files	object	Required	Converts a specified sheet from an Excel file into a dictionary format using Python Pandas.
files.file	string	Optional	Parameter for Parse Specific Sheet
files.file_name	string	Optional	Name of the resource
sheet_name	string	Required	The name of the sheet to be parsed from the Excel file.

Input Example

{"sheet_name":"Math"}

Output

Parameter	Type	Description
Name	object	Name of the resource
Name.0	string	Name of the resource
Name.1	string	Name of the resource
Name.2	string	Name of the resource
Score	object	Score value
Score.0	number	Output field: Score.0
Score.1	number	Output field: Score.1
Score.2	number	Output field: Score.2

Output Example

{"Name":{"0":"Alice","1":"Bob","2":"Charlie"},"Score":{"0":95,"1":88,"2":72}}

Read Excel File

Convert an Excel file into a dictionary format for data manipulation and analysis using Python Pandas, requiring the 'files' input.

Endpoint

Method: GET

Input

Argument Name	Type	Required	Description
files	object	Required	Converts a specified sheet from an Excel file into a dictionary format using Python Pandas.
files.file	string	Optional	Parameter for Read Excel File
files.file_name	string	Optional	Name of the resource
file_inputs	object	Optional	File inputs to be used in the action.

Input Example

{"files":{"file":"string","file_name":"Example Name"},"file_inputs":{}}

Output

Parameter	Type	Description
Name	object	Name of the resource
Name.0	string	Name of the resource
Name.1	string	Name of the resource
Name.2	string	Name of the resource
Score	object	Score value
Score.0	number	Output field: Score.0
Score.1	number	Output field: Score.1
Score.2	number	Output field: Score.2

Output Example

{"Name":{"0":"Alice","1":"Bob","2":"Charlie"},"Score":{"0":95,"1":88,"2":72}}

Styler to an Excel

Write a Pandas Styler object to an Excel sheet using the specified input file.

Endpoint

Method: GET

Input

Argument Name	Type	Required	Description
newdataframe	object	Optional	New Sheet to be created in the Excel file.
files	object	Required	Existing Excel file to be modified.
files.file	string	Optional	Parameter for Styler to an Excel
files.file_name	string	Optional	Name of the resource
sheet_inputs_1	object	Optional	Inputs for the any one of existing sheet.
sheet_inputs_2	object	Optional	Inputs for the new sheet.

Input Example

{"newdataframe":{},"files":{"file":"string","file_name":"Example Name"},"sheet_inputs_1":{},"sheet_inputs_2":{}}

Output

Parameter	Type	Description
file	object	Output field: file
file.file	string	Output field: file.file
file.file_name	string	Name of the resource

Output Example

{"file":{"file":"string","file_name":"Example Name"}}

Response Headers

Header	Description	Example
Content-Type	The media type of the resource	application/json
Date	The date and time at which the message was originated	Thu, 01 Jan 2024 00:00:00 GMT