What Are Some Approaches To Outputting A Python Data Structure To Restructuredtext
I have a list of tuples in Python that I would like to output to a table in reStructuredText. The docutils library has great support for converting reStructuredText to other format
Solution 1:
Check out the tabulate package. It can output RST format by:
print tabulate(table, headers, tablefmt="rst")
Solution 2:
>> print make_table([['Name', 'Favorite Food', 'Favorite Subject'],
['Joe', 'Hamburgers', 'Cars'],
['Jill', 'Salads', 'American Idol'],
['Sally', 'Tofu', 'Math']])
+------------------+------------------+------------------+| Name | Favorite Food | Favorite Subject |+==================+==================+==================+| Joe | Hamburgers | Cars |+------------------+------------------+------------------+| Jill | Salads | American Idol |+------------------+------------------+------------------+| Sally | Tofu | Math |+------------------+------------------+------------------+
Here is the code I use for quick and dirty reStructuredText tables:
defmake_table(grid):
cell_width = 2 + max(reduce(lambda x,y: x+y, [[len(item) for item in row] for row in grid], []))
num_cols = len(grid[0])
rst = table_div(num_cols, cell_width, 0)
header_flag = 1for row in grid:
rst = rst + '| ' + '| '.join([normalize_cell(x, cell_width-1) for x in row]) + '|\n'
rst = rst + table_div(num_cols, cell_width, header_flag)
header_flag = 0return rst
deftable_div(num_cols, col_width, header_flag):
if header_flag == 1:
return num_cols*('+' + (col_width)*'=') + '+\n'else:
return num_cols*('+' + (col_width)*'-') + '+\n'defnormalize_cell(string, length):
return string + ((length - len(string)) * ' ')
Solution 3:
I'm not aware of any libraries to output RST from python data structures, but it's pretty easy to format it yourself. Here's an example of formatting a list of python tuples to an RST table:
>>>data = [('hey', 'stuff', '3'),
('table', 'row', 'something'),
('xy', 'z', 'abc')]
>>>numcolumns = len(data[0])>>>colsizes = [max(len(r[i]) for r in data) for i inrange(numcolumns)]>>>formatter = ' '.join('{:<%d}' % c for c in colsizes)>>>rowsformatted = [formatter.format(*row) for row in data]>>>header = formatter.format(*['=' * c for c in colsizes])>>>output = header + '\n' + '\n'.join(rowsformatted) + '\n' + header>>>print output
===== ===== =========
hey stuff 3
table row something
xy z abc
===== ===== =========
Solution 4:
@cieplak's answer was great. I refined it a bit so that columns are sized independently
print make_table( [ ['Name', 'Favorite Food', 'Favorite Subject'],
['Joe', 'Hamburgrs', 'I like things with really long names'],
['Jill', 'Salads', 'American Idol'],
['Sally', 'Tofu', 'Math']])
===== ============= ====================================
Name Favorite Food FavoriteSubject===== ============= ====================================
Joe Hamburgrs I like things with really long names
----- ------------- ------------------------------------
Jill Salads American Idol
----- ------------- ------------------------------------
Sally TofuMath===== ============= ====================================
Here is the code
defmake_table(grid):
max_cols = [max(out) for out inmap(list, zip(*[[len(item) for item in row] for row in grid]))]
rst = table_div(max_cols, 1)
for i, row inenumerate(grid):
header_flag = Falseif i == 0or i == len(grid)-1: header_flag = True
rst += normalize_row(row,max_cols)
rst += table_div(max_cols, header_flag )
return rst
deftable_div(max_cols, header_flag=1):
out = ""if header_flag == 1:
style = "="else:
style = "-"for max_col in max_cols:
out += max_col * style + " "
out += "\n"return out
defnormalize_row(row, max_cols):
r = ""for i, max_col inenumerate(max_cols):
r += row[i] + (max_col - len(row[i]) + 1) * " "return r + "\n"
Solution 5:
You can choose to dump into a CSV from Python and then use the csv-table feature of RST as in http://docutils.sourceforge.net/docs/ref/rst/directives.html#csv-table It has got a :file: directive to simply include a csv file with data.
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