def _shape_text(self,
text,
colsep=u"\t",
rowsep=u"\n",
transpose=False,
skiprows=0,
comments='#'):
"""Decode the shape of the given text"""
assert colsep != rowsep
out = []
text_rows = text.split(rowsep)[skiprows:]
for row in text_rows:
stripped = to_text_string(row).strip()
if len(stripped) == 0 or stripped.startswith(comments):
continue
line = to_text_string(row).split(colsep)
line = [try_to_parse(to_text_string(x)) for x in line]
out.append(line)
# Replace missing elements with np.nan's or None's
if programs.is_module_installed('numpy'):
from numpy import nan
out = list(zip_longest(*out, fillvalue=nan))
else:
out = list(zip_longest(*out, fillvalue=None))
# Tranpose the last result to get the expected one
out = [[r[col] for r in out] for col in range(len(out[0]))]
if transpose:
return [[r[col] for r in out] for col in range(len(out[0]))]
return out
def _shape_text(self, text, colsep=u"\t", rowsep=u"\n",
transpose=False, skiprows=0, comments='#'):
"""Decode the shape of the given text"""
assert colsep != rowsep
out = []
text_rows = text.split(rowsep)[skiprows:]
for row in text_rows:
stripped = to_text_string(row).strip()
if len(stripped) == 0 or stripped.startswith(comments):
continue
line = to_text_string(row).split(colsep)
line = [try_to_parse(to_text_string(x)) for x in line]
out.append(line)
# Replace missing elements with np.nan's or None's
if programs.is_module_installed('numpy'):
from numpy import nan
out = list(zip_longest(*out, fillvalue=nan))
else:
out = list(zip_longest(*out, fillvalue=None))
# Tranpose the last result to get the expected one
out = [[r[col] for r in out] for col in range(len(out[0]))]
if transpose:
return [[r[col] for r in out] for col in range(len(out[0]))]
return out