pd.io.gspread.read_frame - from Google Spreadsheet to Pandas DataFrame
Google Spreadsheet is an online spreadsheet.
Google Document can be use to generate survey and results of survey will be stored as a Google Spreadsheet document.

Maybe Pandas should provide a `pd.io.gspread.read_frame` function that will read a given Google Spreadsheet document (using email, password, url or name of document and range) and return a DataFrame.

`pd.io.gspread.read_frame(email, password, filename, sheet, cell_range)`

`gspread` package could help
http://burnash.github.io/gspread/

I wrote a little bit of code for that... but it could probably be improve and add into Pandas.

```
email = '...@...'
password = '...'
cell_range = 'A1:R20'

gc = gspread.login(email, password)
wks = gc.open(filename).sheet1

cell_list = wks.range('')

# Build a NumPy array
(row, col) = (cell_list[-1].row, cell_list[-1].col)
data = np.empty((row-1,col), dtype=object)
data[:] = np.nan

k = 0
cols = []
for i in range(row):
    for j in range(col):
        val = cell_list[k].value
        if i==0:
            if val != None:
                if val not in cols:
                    cols.append(val)
                else: # add a number if colname ever exists
                    ii = 1
                    while True:
                        new_val = val + '_' + str(ii)
                        if new_val not in cols:
                            break
                        ii += 1
                    cols.append(new_val)
            else:
                cols.append('col_'+str(j))
                #cols.append(j)
        else:
            if val != None:
                data[i-1, j] = val
        k += 1
```
