Variable: org-babel-python--def-format-value
org-babel-python--def-format-value is a variable defined in
ob-python.el.gz.
Value
"def __org_babel_python_format_value(result, result_file, result_params):\n with open(result_file, 'w') as f:\n if 'graphics' in result_params:\n result.savefig(result_file)\n elif 'pp' in result_params:\n import pprint\n f.write(pprint.pformat(result))\n elif 'list' in result_params and isinstance(result, dict):\n f.write(str(['{} :: {}'.format(k, v) for k, v in result.items()]))\n else:\n if not set(result_params).intersection(['scalar', 'verbatim', 'raw']):\n def dict2table(res):\n if isinstance(res, dict):\n return [(k, dict2table(v)) for k, v in res.items()]\n elif isinstance(res, list) or isinstance(res, tuple):\n return [dict2table(x) for x in res]\n else:\n return res\n if 'table' in result_params:\n result = dict2table(result)\n try:\n import pandas\n except ImportError:\n pass\n else:\n if isinstance(result, pandas.DataFrame) and 'table' in result_params:\n result = [[result.index.name or ''] + list(result.columns)] + [None] + [[i] + list(row) for i, row in result.iterrows()]\n elif isinstance(result, pandas.Series) and 'table' in result_params:\n result = list(result.items())\n try:\n import numpy\n except ImportError:\n pass\n else:\n if isinstance(result, numpy.ndarray):\n if 'table' in result_params:\n result = result.tolist()\n else:\n result = repr(result)\n f.write(str(result))"
Documentation
Python function to format value result and save it to file.
Source Code
;; Defined in /usr/src/emacs/lisp/org/ob-python.el.gz
(defconst org-babel-python--def-format-value "\
def __org_babel_python_format_value(result, result_file, result_params):
with open(result_file, 'w') as f:
if 'graphics' in result_params:
result.savefig(result_file)
elif 'pp' in result_params:
import pprint
f.write(pprint.pformat(result))
elif 'list' in result_params and isinstance(result, dict):
f.write(str(['{} :: {}'.format(k, v) for k, v in result.items()]))
else:
if not set(result_params).intersection(\
['scalar', 'verbatim', 'raw']):
def dict2table(res):
if isinstance(res, dict):
return [(k, dict2table(v)) for k, v in res.items()]
elif isinstance(res, list) or isinstance(res, tuple):
return [dict2table(x) for x in res]
else:
return res
if 'table' in result_params:
result = dict2table(result)
try:
import pandas
except ImportError:
pass
else:
if isinstance(result, pandas.DataFrame) and 'table' in result_params:
result = [[result.index.name or ''] + list(result.columns)] + \
[None] + [[i] + list(row) for i, row in result.iterrows()]
elif isinstance(result, pandas.Series) and 'table' in result_params:
result = list(result.items())
try:
import numpy
except ImportError:
pass
else:
if isinstance(result, numpy.ndarray):
if 'table' in result_params:
result = result.tolist()
else:
result = repr(result)
f.write(str(result))"
"Python function to format value result and save it to file.")