pygsheets - Google Spreadsheets Python API v4
A simple, intutive library for google sheets which gets most of your work done.
Features:
- Open, create, delete and share spreadsheets using title or key
- Control permissions of spreadsheets.
- Set cell format, text format, color, write notes
- NamedRanges Support
- Work with range of cells easily with DataRange
- Do all the updates and push the changes in a batch
- TeamDrive Support
Requirements
Python 2.6+ or 3+
Installation
From PyPi
pip install pygsheets
From GitHub (Recommended)
pip install https://github.com/nithinmurali/pygsheets/archive/master.zip
Basic Usage
Basic features are shown here, for complete set of features see the full documentation here.
-
Obtain OAuth2 credentials from Google Developers Console for google spreadsheet api and drive api and save the file as
client_secret.json
in same directory as project. read more here. -
Start using pygsheets:
Sample scenario : you want to share a numpy array with your remote friend
import pygsheets
gc = pygsheets.authorize()
# Open spreadsheet and then workseet
sh = gc.open('my new ssheet')
wks = sh.sheet1
# Update a cell with value (just to let him know values is updated ;) )
wks.update_cell('A1', "Hey yank this numpy array")
# update the sheet with array
wks.update_cells('A2', my_nparray.to_list())
# share the sheet with your friend
sh.share("myFriend@gmail.com")
Sample Scenario: you want to fill height values of students
## import pygsheets and open the sheet as given above
header = wks.cell('A1')
header.value = 'Names'
header.text_format['bold'] = True # make the header bold
header.update()
# or achive the same in oneliner
wks.cell('B1').set_text_format('bold', True).value = 'heights'
# set the names
wks.update_cells('A2:A5',[['name1'],['name2'],['name3'],['name4']])
# set the heights
heights = wks.range('B2:B5', returnas='range') # get the range as DataRange object
heights.name = "heights" # name the range
heights.update_values([[50],[60],[67],[66]]) # update the vales
wks.update_cell('B6','=average(heights)') # set the avg value of heights using named range
More Examples
Opening a Spreadsheet
# You can open a spreadsheet by its title as it appears in Google Docs
sh = gc.open("pygsheetTest")
# If you want to be specific, use a key
sht1 = gc.open_by_key('1mwA-NmvjDqd3A65c8hsxOpqdfdggPR0fgfg5nXRKScZAuM')
# create a spreasheet in a folder (by id)
sht2 = gc.create("new sheet", parent_id="adF345vfvcvby67ddfc")
# open enable TeamDrive support
gc.enableTeamDriveSupport=True
gc.teamDriveId = "Dqd3A65c8hsxOpqdfdggPR0fgfg"
doc
Operations on Spreadsheet# create a new sheet with 50 rows and 60 colums
wks = sh.add_worksheet("new sheet",rows=50,cols=60)
# or copy from another worksheet
wks = sh.add_worksheet("new sheet", src_worksheet=another_wks)
# delete this wroksheet
del_worksheet(wks)
# unshare the sheet
sh.remove_permissions("myNotSoFriend@gmail.com")
Selecting a Worksheet
# Select worksheet by id, index, title.
wks = sh.worksheet_by_title("my test sheet")
# By any property
wks = sh.worksheet('index', 0)
# Get a list of all worksheets
wks_list = sh.worksheets()
# Or just
wks = sh[0]
doc
Operations on Worksheet# Get values as 2d array('matrix') which can easily be converted to an numpy aray or as 'cell' list
values_mat = wks.get_values(start=(1,1), end=(20,20), returnas='matrix')
# Get all values of sheet as 2d list of cells
cell_matrix = wks.get_all_values(returnas='matrix')
# update a range of values with a cell list or matrix
wks.update_cells(crange='A1:E10', values=values_mat)
# Insert 2 rows after 20th row and fill with values
wks.insert_rows(row=20, number=2, values=values_list)
# resize by changing rows and colums
wks.rows=30
# use the worksheet as a csv
for row in wks:
print(row)
# get values by indexes
A1_value = wks[0][0]
# clear all values
wks.clear()
# Search for a table in the worksheet and append a row to it
wks.append_table(values=[1,2,3,4])
# export a worksheet as csv
wks.export(pygsheets.ExportType.CSV)
# Find/Replace cells with string value
cell_list = worksheet.find("query string")
# Find/Replace cells with regexp
filter_re = re.compile(r'(small|big) house')
cell_list = worksheet.find(filter_re)
# Move a worksheet in the same spreadsheet (update index)
wks.index = 2 # index start at 1 , not 0
# Update title
wks.title = "NewTitle"
# working with named ranges
wks.create_named_range('A1', 'A10', 'prices')
wks.get_named_range('prices')
wks.get_named_ranges() # will return a list of DataRange objects
wks.delete_named_range('prices')
Pandas integration
If you work with pandas, you can directly use the dataframes
#set the values of a pandas dataframe to sheet
wks.set_dataframe(df,(1,1))
#you can also get the values of sheet as dataframe
df = wks.get_as_df()
doc
Cell ObjectEach cell has a value and cordinates (row, col, label) properties.
Getting cell objects
c1 = Cell('A1',"hello") # create a unlinked cell
c1 = worksheet.cell('A1') # creates a linked cell whose changes syncs instantanously
cl.value # Getting cell value
c1.value_unformatted #Getting cell unformatted value
c1.formula # Getting cell formula if any
c1.note # any notes on the cell
cell_list = worksheet.range('A1:C7') # get a range of cells
cell_list = col(5, returnas='cell') # return all cells in 5th column(E)
Most of the functions has returnas
param, if whose value is cell
it will return a list of cell objects. Also you can use label or (row,col) tuple interchangbly as a cell adress
Cell Operations
Each cell is directly linked with its cell in spreadsheet, hence changing the value of cell object will update the corresponding cell in spreadsheet unless you explictly unlink it
Different ways of updating Cells
# using linked cells
c1 = worksheet.cell('B1') # created from worksheet, so linked cell
c1.col = 5 # Now c1 correponds to E1
c1.value = "hoho" # will change the value of E1
# Or onliner
worksheet.update_cell('B1', 'hehe')
# get a range of cells
cell_list = worksheet.range('A1:C7')
cell_list = worksheet.get_values('A1:C7', returnas='cells')
cell_list = worksheet.get_row(2, returnas='cells')
# add formula
c1.formula = 'A1+C2'
# get neighbouring cells
c2 = c1.neighbour('topright') # you can also specify relative position as tuple eg (1,1)
# set cell format
c1.format = pygsheets.FormatType.NUMBER, '00.0000' # 2nd string is optional
# write notes on cell
c1.note = "yo mom"
# set cell color
c1.color = (1.0,1.0,1.0,1.0) # Red, Green, Blue, Alpha
# set text format
c1.text_format['fontSize'] = 14
c1.text_format['bold'] = True
# sync the changes
c1.update()
# you can unlink a cell and set all required properties and then link it
# So yu could create a model cell and update multiple sheets
c.unlink()
c.note = "offine note"
c.link(wks1, True)
c.link(wks2, True)
doc
DataRange ObjectThe DataRange is used to represent a range of cells in a worksheet. They can be named or protected.
Almost all get_
functions has a returnas
param, set it to range
to get a range object.
# Getting a Range object
rng = wks.get_values('A1', 'C5', returnas='range')
rng.unlink() # linked ranges will sync the changes as they are changed
# Named ranges
rng.name = 'pricesRange' # will make this range a named range
rng = wks.get_named_ranges('commodityCount') # directly get a named range
rng.name = '' # will delete this named range
# Setting Format
# first create a model cell with required properties
model_cell = Cell('A1')
model_cell.color = (1.0,0,1.0,1.0) # rose color cell
model_cell.format = pygsheets.FormatType.PERCENT
# now set its format to all cells in the range
rng.apply_format(model_cell) # will make all cell in this range rose color and percent format
# get cells in range
cell = rng[0][1]
How to Contribute
This library is still in development phase. So there is a lot of work to be done. Checkout the TO DO's.
- Follow the Contributing to Open Source Guide.
- Branch off of the
staging
branch, and submit Pull Requests back to that branch. Note that themaster
branch is used for version bumps and hotfixes only.
Report Issues/Features
- Please report bugs and suggest features via the GitHub Issues.
- Before opening an issue, search the tracker for possible duplicates.
- If you have any usage questions, ask a question on stackoverflow with
pygsheets
Tag
Run Tests
- Save oauth credential file as
creds.json
intest/data
- run
make test
Acknowledgement
The gspread library is used as an outline for developing pygsheets.