Excel
This functionality is in Beta! Beta functionality may have bugs and may change in the future. Help us out by testing this functionality and letting us know if you encounter any issues.
Installation
To work with Excel files in SDV, please install SDV with the optional dependencies using:
ExcelHandler
Use this object to create a handler for reading and writing an local Excel spreadsheet
Parameters (None)
Output An ExcelHandler object you can use to read and write an Excel spreadsheet
read
Use this function to read an Excel spreadsheet from your local machine
Parameters
(required)
filepath
: A string name of the Excel spreadsheet, which must end in.xlsx
sheet_names
: A list of sheet names to read from the overall spreadsheet. Each sheet is a tab in your spreadsheet file, and represents a different table.(default)
None
: Read all the sheets of the overall spreadsheet<list>: Read only the sheets listed from the overall spreadsheet
Output A dictionary that contains all the data found the Excel file. The key is the name of the sheet and the value is a pandas DataFrame containing the data.
write
Use this function to write synthetic data into an Excel spreadsheet
Parameters
(required)
synthetic_data
: You data, represented as a dictionary. The key is the name of each table and the value is a pandas DataFrame containing the data.(required)
filepath
: A string name of the file where you would like to write the synthetic datasheet_name_suffix
: The suffix to add to each sheet name. Use this if to add specific version numbers or other info.(default)
None
: Do not add a suffix. Each sheet will be named with table name<string>: Append the suffix after each table name. Eg. a suffix
'_synth1'
will write a sheet astable_synth1
mode
: A string signaling which mode of writing to use(default)
'w'
: Write sheets to a new Excel file, clearing any existing file that may exist'a'
: Write the data as new sheets within an existing Excel file
Output (None) The data will be written as an Excel spreadsheet
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