def test_spreadsheet(user_credentials_not_available):
if user_credentials_not_available:
pytest.xfail(reason='Credentials')
import string
import random
import pandas as pd
from df2gspread import df2gspread as d2g
from df2gspread.utils import get_credentials
from df2gspread.gfiles import get_file_id
from df2gspread.gfiles import delete_file
df = pd.DataFrame([1, 2, 3, 4])
filepath = ''.join(
random.choice(string.ascii_uppercase + string.digits) for _ in range(10))
credentials = get_credentials()
# creation of new spreadsheet
d2g.upload(df, filepath)
# updating existed spreadsheet by filepath
df = pd.DataFrame([1, 2, 3, 4, 5])
d2g.upload(df, filepath)
# updating existed spreadsheet by file_id
file_id = get_file_id(credentials, filepath)
d2g.upload(df, file_id)
# Clear created file from drive
credentials = get_credentials()
file_id = get_file_id(credentials, filepath)
delete_file(credentials, file_id)
def test_worksheet(user_credentials_not_available):
if user_credentials_not_available:
pytest.xfail(reason='Credentials')
import string
import random
import pandas as pd
from df2gspread import df2gspread as d2g
from df2gspread import gspread2df as g2d
from df2gspread.utils import get_credentials
from df2gspread.gfiles import get_file_id
from df2gspread.gfiles import delete_file
df_upload = pd.DataFrame(
{'0': ['1', '2', '3', '4']}, index=['1', '2', '3', '4'])
filepath = ''.join(
random.choice(string.ascii_uppercase + string.digits) for _ in range(10))
# First worksheet as default
d2g.upload(df_upload, filepath)
df_download = g2d.download(filepath, col_names=True, row_names=True)
assert all(df_upload == df_download)
# updating existed spreadsheet
d2g.upload(df_upload, filepath, wks_name=filepath)
df_download = g2d.download(filepath, col_names=True, row_names=True)
assert all(df_upload == df_download)
# Clear created file from drive
credentials = get_credentials()
file_id = get_file_id(credentials, filepath)
delete_file(credentials, file_id)
def test_gspread2df_start_cell(user_credentials_not_available):
if user_credentials_not_available:
pytest.xfail(reason='Credentials')
import string
import random
import numpy as np
import pandas as pd
from numpy.testing import assert_array_equal
from pandas.util.testing import assert_frame_equal
from df2gspread import df2gspread as d2g
from df2gspread import gspread2df as g2d
from df2gspread.utils import get_credentials
from df2gspread.gfiles import get_file_id
from df2gspread.gfiles import delete_file
filepath = '/df2gspread_tests/' + ''.join(
random.choice(string.ascii_uppercase + string.digits)
for _ in range(10))
df_upload = pd.DataFrame(
{
0: ['1', '2', 'x', '4'],
1: ['2', '2', 'y', '4'],
2: ['3', '2', 'w', '4'],
3: ['4', '2', 'z', '4']
},
index=[0, 1, 2, 3])
# Start cell out of the table size
d2g.upload(df_upload, filepath, row_names=False, col_names=False)
with pytest.raises(RuntimeError):
df_download = g2d.download(filepath, start_cell='A5')
with pytest.raises(RuntimeError):
df_download = g2d.download(filepath, start_cell='E1')
# Should be fixed in gspread
# with pytest.raises(RuntimeError):
# df_download = g2d.download(filepath, start_cell='A0')
# start_cell = 'A3'
d2g.upload(df_upload, filepath, row_names=False, col_names=False)
df_download = g2d.download(filepath, start_cell='A3')
assert_array_equal(df_upload.iloc[2:, :], df_download)
# start_cell = 'B3'
d2g.upload(df_upload, filepath, row_names=False, col_names=False)
df_download = g2d.download(filepath, start_cell='B3')
assert_array_equal(df_upload.iloc[2:, 1:], df_download)
# Clear created file from drive
credentials = get_credentials()
file_id = get_file_id(credentials, filepath)
delete_file(credentials, file_id)
def test_gspread2df_start_cell(user_credentials_not_available):
if user_credentials_not_available:
pytest.xfail(reason='Credentials')
import string
import random
import numpy as np
import pandas as pd
from numpy.testing import assert_array_equal
from pandas.util.testing import assert_frame_equal
from df2gspread import df2gspread as d2g
from df2gspread import gspread2df as g2d
from df2gspread.utils import get_credentials
from df2gspread.gfiles import get_file_id
from df2gspread.gfiles import delete_file
filepath = '/df2gspread_tests/' + ''.join(
random.choice(string.ascii_uppercase + string.digits)
for _ in range(10))
df_upload = pd.DataFrame(
{0: ['1', '2', 'x', '4'],
1: ['2', '2', 'y', '4'],
2: ['3', '2', 'w', '4'],
3: ['4', '2', 'z', '4']},
index=[0, 1, 2, 3])
# Start cell out of the table size
d2g.upload(df_upload, filepath, row_names=False, col_names=False)
with pytest.raises(RuntimeError):
df_download = g2d.download(filepath, start_cell='A5')
with pytest.raises(RuntimeError):
df_download = g2d.download(filepath, start_cell='E1')
# Should be fixed in gspread
# with pytest.raises(RuntimeError):
# df_download = g2d.download(filepath, start_cell='A0')
# start_cell = 'A3'
d2g.upload(df_upload, filepath, row_names=False, col_names=False)
df_download = g2d.download(filepath, start_cell='A3')
assert_array_equal(df_upload.iloc[2:,:], df_download)
# start_cell = 'B3'
d2g.upload(df_upload, filepath, row_names=False, col_names=False)
df_download = g2d.download(filepath, start_cell='B3')
assert_array_equal(df_upload.iloc[2:,1:], df_download)
# Clear created file from drive
credentials = get_credentials()
file_id = get_file_id(credentials, filepath)
delete_file(credentials, file_id)
def test_delete_file(user_credentials_not_available):
if user_credentials_not_available:
pytest.xfail(reason='Credentials')
from df2gspread.gfiles import delete_file
from df2gspread.utils import get_credentials
from df2gspread.gfiles import get_file_id
# Clear created folder for testing
credentials = get_credentials()
file_id = get_file_id(credentials, '/df2gspread_tests')
delete_file(credentials, file_id)
def test_delete_file(user_credentials_not_available):
if user_credentials_not_available:
pytest.xfail(reason='Credentials')
from df2gspread.gfiles import delete_file
from df2gspread.utils import get_credentials
from df2gspread.gfiles import get_file_id
# Clear created folder for testing
credentials = get_credentials()
file_id = get_file_id(credentials, '/df2gspread_tests')
delete_file(credentials, file_id)
def test_big_worksheet(user_credentials_not_available):
if user_credentials_not_available:
pytest.xfail(reason='Credentials')
import string
import random
import numpy as np
import pandas as pd
from pandas.util.testing import assert_frame_equal
from df2gspread import df2gspread as d2g
from df2gspread import gspread2df as g2d
from df2gspread.utils import get_credentials
from df2gspread.gfiles import get_file_id
from df2gspread.gfiles import delete_file
filepath = '/df2gspread_tests/' + ''.join(
random.choice(string.ascii_uppercase + string.digits)
for _ in range(10))
# Indexes count out of default 1000
df_upload = pd.DataFrame(index=range(1001),
columns=range(2))
df_upload = df_upload.fillna('0')
d2g.upload(df_upload, filepath, row_names=False, col_names=False)
df_download = g2d.download(filepath)
# df_download.columns = df_download.columns.astype(np.int64)
assert_frame_equal(df_upload, df_download)
# Columns count out of default 100
df_upload = pd.DataFrame(index=range(1),
columns=range(101))
df_upload = df_upload.fillna('0')
d2g.upload(df_upload, filepath, row_names=False, col_names=False)
df_download = g2d.download(filepath)
# df_download.columns = df_download.columns.astype(np.int64)
assert_frame_equal(df_upload, df_download)
# Clear created file from drive
credentials = get_credentials()
file_id = get_file_id(credentials, filepath)
delete_file(credentials, file_id)
def test_big_worksheet(user_credentials_not_available):
if user_credentials_not_available:
pytest.xfail(reason='Credentials')
import string
import random
import numpy as np
import pandas as pd
from pandas.util.testing import assert_frame_equal
from df2gspread import df2gspread as d2g
from df2gspread import gspread2df as g2d
from df2gspread.utils import get_credentials
from df2gspread.gfiles import get_file_id
from df2gspread.gfiles import delete_file
filepath = '/df2gspread_tests/' + ''.join(
random.choice(string.ascii_uppercase + string.digits)
for _ in range(10))
# Indexes count out of default 1000
df_upload = pd.DataFrame(index=range(1001), columns=range(2))
df_upload = df_upload.fillna('0')
d2g.upload(df_upload, filepath, row_names=False, col_names=False)
df_download = g2d.download(filepath)
# df_download.columns = df_download.columns.astype(np.int64)
assert_frame_equal(df_upload, df_download)
# Columns count out of default 100
df_upload = pd.DataFrame(index=range(1), columns=range(101))
df_upload = df_upload.fillna('0')
d2g.upload(df_upload, filepath, row_names=False, col_names=False)
df_download = g2d.download(filepath)
# df_download.columns = df_download.columns.astype(np.int64)
assert_frame_equal(df_upload, df_download)
# Clear created file from drive
credentials = get_credentials()
file_id = get_file_id(credentials, filepath)
delete_file(credentials, file_id)
def test_gspread_load():
import random
import string
try:
import pandas as pd
from df2gspread import df2gspread as d2g
from df2gspread import gspread2df as g2d
from df2gspread.utils import get_credentials
from df2gspread.gfiles import get_file_id
from df2gspread.gfiles import delete_file
except:
assert 0
from rafflepy import raffle
df_upload = pd.DataFrame({'color': ['b', 'w', 'p', 'm'],
'Username': ['John', 'Nicolos', 'Katy', 'Mike'],
'Other': [1, 2, 3, 4]})
filepath = ''.join(
random.choice(string.ascii_uppercase + string.digits) for _ in range(10))
# Uploading df to test-spreadsheet
d2g.upload(df_upload, filepath)
credentials = get_credentials()
file_id = get_file_id(credentials, filepath)
# Downloading via file_id
uri = file_id
pool = raffle.input_gload(uri)
assert all(pool == df_upload['Username'].values)
# Downloading certain column
column = 'color'
pool = raffle.input_gload(uri, column)
assert all(pool == df_upload['color'].values)
# Clear created file from drive
delete_file(credentials, file_id)
def test_worksheet(user_credentials_not_available):
if user_credentials_not_available:
pytest.xfail(reason='Credentials')
import string
import random
import numpy as np
import pandas as pd
from pandas.util.testing import assert_frame_equal
from df2gspread import df2gspread as d2g
from df2gspread import gspread2df as g2d
from df2gspread.utils import get_credentials
from df2gspread.gfiles import get_file_id
from df2gspread.gfiles import delete_file
df_upload = pd.DataFrame({0: ['1', '2', 'x', '4']}, index=[0, 1, 2, 3])
filepath = '/df2gspread_tests/' + ''.join(
random.choice(string.ascii_uppercase + string.digits)
for _ in range(10))
# First worksheet as default
d2g.upload(df_upload, filepath)
df_download = g2d.download(filepath, col_names=True, row_names=True)
df_download.columns = df_download.columns.astype(np.int64)
df_download.index = df_download.index.astype(np.int64)
assert_frame_equal(df_upload, df_download)
# Updating existed spreadsheet
d2g.upload(df_upload, filepath, wks_name='Sheet2')
df_download = g2d.download(filepath, col_names=True, row_names=True)
df_download.columns = df_download.columns.astype(np.int64)
df_download.index = df_download.index.astype(np.int64)
assert_frame_equal(df_upload, df_download)
# Updating with file_id
credentials = get_credentials()
file_id = get_file_id(credentials, filepath)
d2g.upload(df_upload, file_id)
df_download = g2d.download(file_id, col_names=True, row_names=True)
df_download.columns = df_download.columns.astype(np.int64)
df_download.index = df_download.index.astype(np.int64)
assert_frame_equal(df_upload, df_download)
# Only row_names
wks = d2g.upload(df_upload, filepath, col_names=False)
df_download = g2d.download(filepath, row_names=True)
df_download.index = df_download.index.astype(np.int64)
# df_download.columns = df_download.columns.astype(np.int64)
assert_frame_equal(df_upload, df_download)
# Only col_names
wks = d2g.upload(df_upload, filepath, row_names=False)
df_download = g2d.download(filepath, col_names=True)
df_download.columns = df_download.columns.astype(np.int64)
assert_frame_equal(df_upload, df_download)
# Without column or row names
wks = d2g.upload(df_upload, filepath, row_names=False, col_names=False)
df_download = g2d.download(filepath)
assert_frame_equal(df_upload, df_download)
# Clear created file from drive
delete_file(credentials, file_id)
def test_df2gspread_df_size(user_credentials_not_available):
if user_credentials_not_available:
pytest.xfail(reason='Credentials')
import string
import random
import numpy as np
import pandas as pd
import gspread
from pandas.util.testing import assert_frame_equal
from df2gspread import df2gspread as d2g
from df2gspread import gspread2df as g2d
from df2gspread.utils import get_credentials
from df2gspread.gfiles import get_file_id, delete_file, get_worksheet
filepath = '/df2gspread_tests/' + ''.join(
random.choice(string.ascii_uppercase + string.digits)
for _ in range(10))
credentials = get_credentials()
gc = gspread.authorize(credentials)
gfile_id = get_file_id(credentials, filepath, write_access=True)
df_upload_a = pd.DataFrame({0: ['1', '2', 'x', '4']}, index=[0, 1, 2, 3])
df_upload_b = pd.DataFrame(data=np.array([np.arange(1500)] *
2).T).applymap(str)
#Uploading a small DF to new sheet to test for sizing down from default
d2g.upload(df_upload_a,
filepath,
"test1",
row_names=False,
col_names=False,
df_size=True)
df_download = g2d.download(filepath, "test1")
df_upload = df_upload_a
wks = get_worksheet(gc, gfile_id, "test1")
assert wks.row_count == len(df_upload)
assert len(df_upload.columns) == wks.col_count
assert len(df_download) == len(df_upload)
assert_frame_equal(df_upload, df_download)
#Upload a large DF to existing, smaller sheet to test for proper expansion
d2g.upload(df_upload_b,
filepath,
"test1",
row_names=False,
col_names=False,
df_size=True)
df_download = g2d.download(filepath, "test1")
df_upload = df_upload_b
wks = get_worksheet(gc, gfile_id, "test1")
assert wks.row_count == len(df_upload)
assert len(df_upload.columns) == wks.col_count
assert len(df_download) == len(df_upload)
assert_frame_equal(df_upload, df_download)
#Uploading a small DF to existing large sheet to test for sizing down from default
d2g.upload(df_upload_a,
filepath,
"test1",
row_names=False,
col_names=False,
df_size=True)
df_download = g2d.download(filepath, "test1")
df_upload = df_upload_a
wks = get_worksheet(gc, gfile_id, "test1")
assert wks.row_count == len(df_upload)
assert len(df_upload.columns) == wks.col_count
assert len(df_download) == len(df_upload)
assert_frame_equal(df_upload, df_download)
#New sheet with col names, make sure 1 extra row and column
d2g.upload(df_upload_a,
filepath,
"test2",
row_names=True,
col_names=True,
df_size=True)
df_download = g2d.download(filepath, "test2")
df_upload = df_upload_a
wks = get_worksheet(gc, gfile_id, "test2")
assert wks.row_count == len(df_upload) + 1
assert len(df_upload.columns) + 1 == wks.col_count
assert len(df_download) == len(df_upload) + 1
#Upload to new sheet with specified dimensions
d2g.upload(df_upload_a,
filepath,
"test3",
row_names=False,
col_names=False,
new_sheet_dimensions=(100, 10))
df_download = g2d.download(filepath, "test3")
df_upload = df_upload_a
wks = get_worksheet(gc, gfile_id, "test3")
assert wks.row_count == 100
assert 10 == wks.col_count
assert_frame_equal(df_upload, df_download)
#Test df_size with start_cell
d2g.upload(df_upload_a,
filepath,
"test4",
row_names=False,
col_names=False,
start_cell='AB10',
df_size=True)
df_download = g2d.download(filepath, "test4")
df_upload = df_upload_a
new_cols = 27
new_cols_array = np.chararray((len(df_upload), new_cols))
new_cols_array[:] = ''
df_new_cols = pd.DataFrame(data=new_cols_array)
df_upload = pd.concat([df_new_cols, df_upload], axis=1)
df_upload.columns = range(0, len(df_upload.columns))
new_rows = 9
new_rows_array = np.chararray((new_rows, len(df_upload.columns)))
new_rows_array[:] = ''
df_new_rows = pd.DataFrame(data=new_rows_array)
df_upload = df_new_rows.append(df_upload, ignore_index=True)
wks = get_worksheet(gc, gfile_id, "test4")
assert wks.row_count == len(df_upload)
assert len(df_upload.columns) == wks.col_count
assert len(df_download) == len(df_upload)
assert_frame_equal(df_upload, df_download)
#Test df_size with start_cell and sheet dimensions which need to be expanded
d2g.upload(df_upload_a,
filepath,
"test5",
row_names=False,
col_names=False,
start_cell='AB10',
df_size=True,
new_sheet_dimensions=(10, 27))
df_download = g2d.download(filepath, "test5")
df_upload = df_upload_a
new_cols = 27
new_cols_array = np.chararray((len(df_upload), new_cols))
new_cols_array[:] = ''
df_new_cols = pd.DataFrame(data=new_cols_array)
df_upload = pd.concat([df_new_cols, df_upload], axis=1)
df_upload.columns = range(0, len(df_upload.columns))
new_rows = 9
new_rows_array = np.chararray((new_rows, len(df_upload.columns)))
new_rows_array[:] = ''
df_new_rows = pd.DataFrame(data=new_rows_array)
df_upload = df_new_rows.append(df_upload, ignore_index=True)
wks = get_worksheet(gc, gfile_id, "test5")
assert wks.row_count == len(df_upload)
assert len(df_upload.columns) == wks.col_count
assert len(df_download) == len(df_upload)
assert_frame_equal(df_upload, df_download)
# Clear created file from drive
delete_file(credentials, gfile_id)
def test_df2gspread_start_cell(user_credentials_not_available):
if user_credentials_not_available:
pytest.xfail(reason='Credentials')
import string
import random
import numpy as np
import pandas as pd
from pandas.util.testing import assert_frame_equal
from df2gspread import df2gspread as d2g
from df2gspread import gspread2df as g2d
from df2gspread.utils import get_credentials
from df2gspread.gfiles import get_file_id
from df2gspread.gfiles import delete_file
filepath = '/df2gspread_tests/' + ''.join(
random.choice(string.ascii_uppercase + string.digits)
for _ in range(10))
df_upload_0 = pd.DataFrame({0: ['1', '2', 'x', '4']}, index=[0, 1, 2, 3])
d2g.upload(df_upload_0,
filepath,
row_names=False,
col_names=False,
start_cell='A1')
df_download = g2d.download(filepath)
df_upload = df_upload_0
assert_frame_equal(df_upload, df_download)
d2g.upload(df_upload_0,
filepath,
row_names=False,
col_names=False,
start_cell='A2')
df_download = g2d.download(filepath)
df_upload = df_upload_0
new_rows = 1
new_rows_array = np.chararray((new_rows, len(df_upload.columns)))
new_rows_array[:] = ''
df_new_rows = pd.DataFrame(data=new_rows_array)
df_upload = df_new_rows.append(df_upload, ignore_index=True)
assert_frame_equal(df_upload, df_download)
d2g.upload(df_upload_0,
filepath,
row_names=False,
col_names=False,
start_cell='B1')
df_download = g2d.download(filepath)
df_upload = df_upload_0
df_upload.insert(0, '-1', '')
df_upload.columns = range(0, len(df_upload.columns))
assert_frame_equal(df_upload, df_download)
d2g.upload(df_upload_0,
filepath,
row_names=False,
col_names=False,
start_cell='AB10')
df_download = g2d.download(filepath)
df_upload = df_upload_0
new_cols = 27
new_cols_array = np.chararray((len(df_upload), new_cols))
new_cols_array[:] = ''
df_new_cols = pd.DataFrame(data=new_cols_array)
df_upload = pd.concat([df_new_cols, df_upload], axis=1)
df_upload.columns = range(0, len(df_upload.columns))
new_rows = 9
new_rows_array = np.chararray((new_rows, len(df_upload.columns)))
new_rows_array[:] = ''
df_new_rows = pd.DataFrame(data=new_rows_array)
df_upload = df_new_rows.append(df_upload, ignore_index=True)
assert_frame_equal(df_upload, df_download)
# Backward compatibility df2gspread => gspread2df
d2g.upload(df_upload_0,
filepath,
row_names=False,
col_names=False,
start_cell='AB10')
df_upload = df_upload_0
df_download = g2d.download(filepath, start_cell='AB10')
assert_frame_equal(df_upload, df_download)
d2g.upload(df_upload_0, filepath, start_cell='AB10')
df_upload = df_upload_0
df_download = g2d.download(filepath,
row_names=True,
col_names=True,
start_cell='AB10')
df_download.index = df_download.index.astype(np.int64)
df_download.columns = df_download.columns.astype(np.int64)
assert_frame_equal(df_upload, df_download)
# Clear created file from drive
credentials = get_credentials()
file_id = get_file_id(credentials, filepath)
delete_file(credentials, file_id)
def test_worksheet(user_credentials_not_available):
if user_credentials_not_available:
pytest.xfail(reason='Credentials')
import string
import random
import numpy as np
import pandas as pd
from pandas.util.testing import assert_frame_equal
from df2gspread import df2gspread as d2g
from df2gspread import gspread2df as g2d
from df2gspread.utils import get_credentials
from df2gspread.gfiles import get_file_id
from df2gspread.gfiles import delete_file
df_upload = pd.DataFrame(
{0: ['1', '2', 'x', '4']},
index=[0, 1, 2, 3])
filepath = '/df2gspread_tests/' + ''.join(
random.choice(string.ascii_uppercase + string.digits)
for _ in range(10))
# First worksheet as default
d2g.upload(df_upload, filepath)
df_download = g2d.download(filepath, col_names=True, row_names=True)
df_download.columns = df_download.columns.astype(np.int64)
df_download.index = df_download.index.astype(np.int64)
assert_frame_equal(df_upload, df_download)
# Updating existed spreadsheet
d2g.upload(df_upload, filepath, wks_name='Sheet2')
df_download = g2d.download(filepath, col_names=True, row_names=True)
df_download.columns = df_download.columns.astype(np.int64)
df_download.index = df_download.index.astype(np.int64)
assert_frame_equal(df_upload, df_download)
# Updating with file_id
credentials = get_credentials()
file_id = get_file_id(credentials, filepath)
d2g.upload(df_upload, file_id)
df_download = g2d.download(file_id, col_names=True, row_names=True)
df_download.columns = df_download.columns.astype(np.int64)
df_download.index = df_download.index.astype(np.int64)
assert_frame_equal(df_upload, df_download)
# Only row_names
wks = d2g.upload(df_upload, filepath, col_names=False)
df_download = g2d.download(filepath, row_names=True)
df_download.index = df_download.index.astype(np.int64)
# df_download.columns = df_download.columns.astype(np.int64)
assert_frame_equal(df_upload, df_download)
# Only col_names
wks = d2g.upload(df_upload, filepath, row_names=False)
df_download = g2d.download(filepath, col_names=True)
df_download.columns = df_download.columns.astype(np.int64)
assert_frame_equal(df_upload, df_download)
# Without column or row names
wks = d2g.upload(df_upload, filepath, row_names=False, col_names=False)
df_download = g2d.download(filepath)
assert_frame_equal(df_upload, df_download)
# Clear created file from drive
delete_file(credentials, file_id)
def test_df2gspread_df_size(user_credentials_not_available):
if user_credentials_not_available:
pytest.xfail(reason='Credentials')
import string
import random
import numpy as np
import pandas as pd
import gspread
from pandas.util.testing import assert_frame_equal, assert_equal
from df2gspread import df2gspread as d2g
from df2gspread import gspread2df as g2d
from df2gspread.utils import get_credentials
from df2gspread.gfiles import get_file_id, delete_file, get_worksheet
filepath = '/df2gspread_tests/' + ''.join(
random.choice(string.ascii_uppercase + string.digits)
for _ in range(10))
credentials = get_credentials()
gc = gspread.authorize(credentials)
gfile_id = get_file_id(credentials, filepath, write_access=True)
df_upload_a = pd.DataFrame(
{0: ['1', '2', 'x', '4']},
index=[0, 1, 2, 3])
df_upload_b = pd.DataFrame(data = np.array([np.arange(1500)]*2).T).applymap(str)
#Uploading a small DF to new sheet to test for sizing down from default
d2g.upload(df_upload_a, filepath, "test1", row_names=False, col_names=False, df_size=True)
df_download = g2d.download(filepath, "test1")
df_upload = df_upload_a
wks = get_worksheet(gc, gfile_id, "test1")
assert_equal(wks.row_count, len(df_upload))
assert_equal(len(df_upload.columns), wks.col_count)
assert_equal(len(df_download), len(df_upload))
assert_frame_equal(df_upload, df_download)
#Upload a large DF to existing, smaller sheet to test for proper expansion
d2g.upload(df_upload_b, filepath, "test1", row_names=False, col_names=False, df_size=True)
df_download = g2d.download(filepath, "test1")
df_upload = df_upload_b
wks = get_worksheet(gc, gfile_id, "test1")
assert_equal(wks.row_count, len(df_upload))
assert_equal(len(df_upload.columns), wks.col_count)
assert_equal(len(df_download), len(df_upload))
assert_frame_equal(df_upload, df_download)
#Uploading a small DF to existing large sheet to test for sizing down from default
d2g.upload(df_upload_a, filepath, "test1", row_names=False, col_names=False, df_size=True)
df_download = g2d.download(filepath, "test1")
df_upload = df_upload_a
wks = get_worksheet(gc, gfile_id, "test1")
assert_equal(wks.row_count, len(df_upload))
assert_equal(len(df_upload.columns), wks.col_count)
assert_equal(len(df_download), len(df_upload))
assert_frame_equal(df_upload, df_download)
#New sheet with col names, make sure 1 extra row and column
d2g.upload(df_upload_a, filepath, "test2", row_names=True, col_names=True, df_size=True)
df_download = g2d.download(filepath, "test2")
df_upload = df_upload_a
wks = get_worksheet(gc, gfile_id, "test2")
assert_equal(wks.row_count, len(df_upload) + 1)
assert_equal(len(df_upload.columns) + 1, wks.col_count)
assert_equal(len(df_download), len(df_upload) + 1)
#Upload to new sheet with specified dimensions
d2g.upload(df_upload_a, filepath, "test3", row_names=False, col_names=False, new_sheet_dimensions=(100,10))
df_download = g2d.download(filepath, "test3")
df_upload = df_upload_a
wks = get_worksheet(gc, gfile_id, "test3")
assert_equal(wks.row_count, 100)
assert_equal(10, wks.col_count)
assert_frame_equal(df_upload, df_download)
#Test df_size with start_cell
d2g.upload(df_upload_a, filepath, "test4", row_names=False, col_names=False, start_cell='AB10',
df_size = True)
df_download = g2d.download(filepath, "test4")
df_upload = df_upload_a
new_cols = 27
new_cols_array = np.chararray((len(df_upload), new_cols))
new_cols_array[:] = ''
df_new_cols = pd.DataFrame(data = new_cols_array)
df_upload = pd.concat([df_new_cols, df_upload], axis=1)
df_upload.columns = range(0, len(df_upload.columns))
new_rows = 9
new_rows_array = np.chararray((new_rows, len(df_upload.columns)))
new_rows_array[:] = ''
df_new_rows = pd.DataFrame(data = new_rows_array)
df_upload = df_new_rows.append(df_upload, ignore_index=True)
wks = get_worksheet(gc, gfile_id, "test4")
assert_equal(wks.row_count, len(df_upload))
assert_equal(len(df_upload.columns), wks.col_count)
assert_equal(len(df_download), len(df_upload))
assert_frame_equal(df_upload, df_download)
#Test df_size with start_cell and sheet dimensions which need to be expanded
d2g.upload(df_upload_a, filepath, "test5", row_names=False, col_names=False, start_cell='AB10',
df_size = True, new_sheet_dimensions = (10,27))
df_download = g2d.download(filepath, "test5")
df_upload = df_upload_a
new_cols = 27
new_cols_array = np.chararray((len(df_upload), new_cols))
new_cols_array[:] = ''
df_new_cols = pd.DataFrame(data = new_cols_array)
df_upload = pd.concat([df_new_cols, df_upload], axis=1)
df_upload.columns = range(0, len(df_upload.columns))
new_rows = 9
new_rows_array = np.chararray((new_rows, len(df_upload.columns)))
new_rows_array[:] = ''
df_new_rows = pd.DataFrame(data = new_rows_array)
df_upload = df_new_rows.append(df_upload, ignore_index=True)
wks = get_worksheet(gc, gfile_id, "test5")
assert_equal(wks.row_count, len(df_upload))
assert_equal(len(df_upload.columns), wks.col_count)
assert_equal(len(df_download), len(df_upload))
assert_frame_equal(df_upload, df_download)
# Clear created file from drive
delete_file(credentials, gfile_id)
def test_df2gspread_start_cell(user_credentials_not_available):
if user_credentials_not_available:
pytest.xfail(reason='Credentials')
import string
import random
import numpy as np
import pandas as pd
from pandas.util.testing import assert_frame_equal
from df2gspread import df2gspread as d2g
from df2gspread import gspread2df as g2d
from df2gspread.utils import get_credentials
from df2gspread.gfiles import get_file_id
from df2gspread.gfiles import delete_file
filepath = '/df2gspread_tests/' + ''.join(
random.choice(string.ascii_uppercase + string.digits)
for _ in range(10))
df_upload_0 = pd.DataFrame(
{0: ['1', '2', 'x', '4']},
index=[0, 1, 2, 3])
d2g.upload(df_upload_0, filepath, row_names=False, col_names=False, start_cell='A1')
df_download = g2d.download(filepath)
df_upload = df_upload_0
assert_frame_equal(df_upload, df_download)
d2g.upload(df_upload_0, filepath, row_names=False, col_names=False, start_cell='A2')
df_download = g2d.download(filepath)
df_upload = df_upload_0
new_rows = 1
new_rows_array = np.chararray((new_rows, len(df_upload.columns)))
new_rows_array[:] = ''
df_new_rows = pd.DataFrame(data = new_rows_array)
df_upload = df_new_rows.append(df_upload, ignore_index=True)
assert_frame_equal(df_upload, df_download)
d2g.upload(df_upload_0, filepath, row_names=False, col_names=False, start_cell='B1')
df_download = g2d.download(filepath)
df_upload = df_upload_0
df_upload.insert(0, '-1', '')
df_upload.columns = range(0, len(df_upload.columns))
assert_frame_equal(df_upload, df_download)
d2g.upload(df_upload_0, filepath, row_names=False, col_names=False, start_cell='AB10')
df_download = g2d.download(filepath)
df_upload = df_upload_0
new_cols = 27
new_cols_array = np.chararray((len(df_upload), new_cols))
new_cols_array[:] = ''
df_new_cols = pd.DataFrame(data = new_cols_array)
df_upload = pd.concat([df_new_cols, df_upload], axis=1)
df_upload.columns = range(0, len(df_upload.columns))
new_rows = 9
new_rows_array = np.chararray((new_rows, len(df_upload.columns)))
new_rows_array[:] = ''
df_new_rows = pd.DataFrame(data = new_rows_array)
df_upload = df_new_rows.append(df_upload, ignore_index=True)
assert_frame_equal(df_upload, df_download)
# Backward compatibility df2gspread => gspread2df
d2g.upload(df_upload_0, filepath, row_names=False, col_names=False, start_cell='AB10')
df_upload = df_upload_0
df_download = g2d.download(filepath, start_cell='AB10')
assert_frame_equal(df_upload, df_download)
d2g.upload(df_upload_0, filepath, start_cell='AB10')
df_upload = df_upload_0
df_download = g2d.download(filepath, row_names=True, col_names=True, start_cell='AB10')
df_download.index = df_download.index.astype(np.int64)
df_download.columns = df_download.columns.astype(np.int64)
assert_frame_equal(df_upload, df_download)
# Clear created file from drive
credentials = get_credentials()
file_id = get_file_id(credentials, filepath)
delete_file(credentials, file_id)
