Easily and efficiently manage a Google Sheet
Project description
gsheet-api
Easily and efficiently manage a Google Sheet.
Install
pip install gsheet-api
Notes
- Credentials required are the Google Service account json file
- Sheet must be shared with edit access to the
client_email
found the the service account - Credentials can be entered as a dictionary or a file path to a json file, both will work.
Usage Example
**Required arguments are defined in the "Available Methods" section
from gsheet_api import GSheetAPI
gsheet = GSheetAPI(**) # initialize the class
gsheet.sheet_to_df(**) # import data from the sheet to a Pandas DataFrame
gsheet.change_gsheet(**) # switch to a new Google Sheet to work off of
gsheet.get_cell(**) # get the contents of a single cell
gsheet.change_tab(**) # switch to a new tab in the current working Google Sheet
gsheet.set_cell(**) # set the value of a single cell
gsheet.df_to_sheet(**) # export a Pandas DataFrame to the current working sheet
gsheet.timestamp_to_cell(**) # export a timestamp to a single cell in the sheet
Available Methods
__init__(self, credentials, sheet_id, tab_name)
Initializes the GSheetAPI and sets the current working sheet and current working tab
:param dict|str credentials: Dictionary containing your Google Service Account json blob or a file
path entered as a string
:param str sheet_id: Sheet id found in the Google Sheet URL
:param str tab_name: Name of the tab to use within the Google Sheet
change_gsheet(self, sheet_id, tab_name)
Changes the current working sheet
:param str sheet_id: Sheet id found in the Google Sheet URL
:param str tab_name: Name of the tab to use within the Google Sheet
change_tab(self, tab_name)
Changes the working tab name within the current sheet
:param str tab_name: Name of the tab to use within the Google Sheet
df_to_sheet(self, df_input, row_start, col_start, clear_sheet=False, clear_range=None, allow_formulas=True,
include_index=False, resize=False, include_column_header=True)
Exports a Pandas DataFrame to a Google Sheet
:param pandas.DataFrame df_input: DataFrame to export
:param int row_start: Integer value of the row (starting at 1)
:param int col_start: Integer value of the column (starting at 1)
:param bool clear_sheet: (default False) If the entire sheet should be cleared before dumping data
:param bool clear_range: (default None) A range that should be cleared (eg. 'A1:B12')
:param bool allow_formulas: (default True) Whether or not formulas should be executed or shown as a raw string
:param bool include_index: (default False) Whether or not the DataFrame index should be shown in the sheet
:param bool resize: (default False) If the sheet should resize when the data is too large to fit in the sheet
:param bool include_column_header: (default True) If the data header should be dumped into the sheet
get_cell(self, cell)
Gets the current value of a given cell in the sheet
:param str cell: Cell reference (eg. 'A2')
:return: The current contents of the cell
set_cell(self, cell, cell_content)
Sets a cell to a given value
:param str cell: Cell reference (eg. 'A2')
:param str cell_content: Desired cell content
sheet_to_df(self, col_list, header, evaluate_formulas)
Grabs data from a Google Sheet and returns it as a Pandas DataFrame
:param list col_list: List of ints representing the column number to extract (eg. range(0, 4) for [0, 1, 2, 3])
:param int header: Integer of the row to use as a column (0 indexed)
:param bool evaluate_formulas: Whether or not the formulas should be computed before extracting the cell content
:return pandas.DataFrame: The sheet contents as a DataFrame object
timestamp_to_cell(self, cell, fmt='%Y-%m-%d %H:%M %Z', tz='US/Central')
Exports a timestamp to a single cell in the Google Sheet
:param str cell:
:param str fmt: (default "%Y-%m-%d %H:%M %Z")
:param str tz: (default "US/Central")
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