pygsheets - Google Spreadsheets Python API v4

A simple, intuitive library for google sheets which gets your work done.

Features:

Open, create, delete and share spreadsheets using title or key
Intuitive models - spreadsheet, worksheet, cell, datarange
Control permissions of spreadsheets.
Set cell format, text format, color, write notes
Named and Protected Ranges Support
Work with range of cells easily with DataRange and Gridrange
Data validation support. checkboxes, drop-downs etc.
Conditional formatting support
get multiple ranges with get_values_batch and update wit update_values_batch

Updates

version 2.0.5 released

Installation

From PyPi (Stable)

pip install pygsheets

If you are installing from pypi please see the docs here.

From GitHub (Recommended)

pip install https://github.com/nithinmurali/pygsheets/archive/staging.zip

If you are installing from github please see the docs here.

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
import numpy as np

gc = pygsheets.authorize()

# Open spreadsheet and then worksheet
sh = gc.open('my new sheet')
wks = sh.sheet1

# Update a cell with value (just to let him know values is updated ;) )
wks.update_value('A1', "Hey yank this numpy array")
my_nparray = np.random.randint(10, size=(3, 4))

# update the sheet with array
wks.update_values('A2', my_nparray.tolist())

# 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_values('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 values
wks.update_value('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')

# open enable TeamDrive support
gc.drive.enable_team_drive("Dqd3A65c8hsxOpqdfdggPR0fgfg")

# create a spreadsheet in a folder (by id)
sht2 = gc.create("new sheet", folder="<your_folder_id>")

Operations on Spreadsheet doc


import pygsheets
c = pygsheets.authorize()
sh = c.open('spreadsheet')

# create a new sheet with 50 rows and 60 colums
wks = sh.add_worksheet("new sheet",rows=50,cols=60)

# create a new sheet with 50 rows and 60 colums at the begin of worksheets
wks = sh.add_worksheet("new sheet",rows=50,cols=60,index=0)

# or copy from another worksheet
wks = sh.add_worksheet("new sheet", src_worksheet='<other worksheet instance>')

# delete this wroksheet
sh.del_worksheet(wks)

# unshare the sheet
sh.remove_permissions("myNotSoFriend@gmail.com")

</details>

Selecting a Worksheet

import pygsheets
c = pygsheets.authorize()
sh = c.open('spreadsheet')

# 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]

</details>

Operations on Worksheet doc

# 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 values of - rows A1 to B10, column C, 1st row, 10th row
wks.get_values_batch(['A1:B10', 'C', '1', (10, None)])

# 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_values(crange='A1:E10', values=values_mat)

# update multiple ranges with bath update
wks.update_values_batch(['A1:A2', 'B1:B2'], [[[1],[2]], [[3],[4]]])

# 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, searchByRegex=True)
cell_list = worksheet.replace(filter_re, 'some house', searchByRegex=True)

# Move a worksheet in the same spreadsheet (update index)
wks.index = 2 # index start at 1 , not 0

# Update title
wks.title = "NewTitle"

# Update hidden state
wks.hidden = False

# 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')

# apply format
wks.apply_format(['A1:B1', 'D:E'], ["NUMBER", "TEXT"])

# Plot a chart/graph
wks.add_chart(('A1', 'A6'), [('B1', 'B6')], 'Health Trend')

# create drop-downs
wks.set_data_validation(start='C4', end='E7', condition_type='NUMBER_BETWEEN', condition_values=[2,10], strict=True, showCustomUi=True, inputMessage="inut between 2 and 10")

# set a formula and extend it to more cells
cell = wks.cell('C1')
cell.value = '=A1+B1'
wks.apply_format('C1:C10', cell, 'userEnteredValue.formulaValue')

</details>

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()

Cell Object doc

Each 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
c1.address # address object with cell position

cell_list = worksheet.range('A1:C7')  # get a range of cells 
cell_list = worksheet.col(5, returnas='cell')  # return all cells in 5th column(E)

</details>

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 Also not that bu default only the value of cell is fetched, so if you are directly accessing any cell properties call cell.fetch() beforehand.

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_value('B1', 'hehe')

# get a range of cells
cell_list = worksheet.range('A1:C7')
cell_list = worksheet.get_values(start='A1', end='C7', returnas='cells')
cell_list = worksheet.get_row(2, returnas='cells')


# add formula
c1.formula = 'A1+C2'
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.set_number_format(pygsheets.FormatType.NUMBER, '00.0000')

# 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.set_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 a

Pygsheets

Install / Use

README

pygsheets - Google Spreadsheets Python API v4

Updates

Installation

From PyPi (Stable)

From GitHub (Recommended)

Basic Usage

More Examples

Opening a Spreadsheet

Operations on Spreadsheet doc

Selecting a Worksheet

Operations on Worksheet doc

Pandas integration

Cell Object doc

Cell Operations