本文整理汇总了Python中pandas.compat.next方法的典型用法代码示例。如果您正苦于以下问题：Python compat.next方法的具体用法？Python compat.next怎么用？Python compat.next使用的例子？那么, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类pandas.compat的用法示例。
在下文中一共展示了compat.next方法的7个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: _check_file_or_buffer
# 需要导入模块: from pandas import compat [as 别名]
# 或者: from pandas.compat import next [as 别名]
def _check_file_or_buffer(self, f, engine):
# see gh-16530
if is_file_like(f):
next_attr = "__next__" if PY3 else "next"
# The C engine doesn't need the file-like to have the "next" or
# "__next__" attribute. However, the Python engine explicitly calls
# "next(...)" when iterating through such an object, meaning it
# needs to have that attribute ("next" for Python 2.x, "__next__"
# for Python 3.x)
if engine != "c" and not hasattr(f, next_attr):
msg = ("The 'python' engine cannot iterate "
"through this file buffer.")
raise ValueError(msg)
return engine 示例2: read
# 需要导入模块: from pandas import compat [as 别名]
# 或者: from pandas.compat import next [as 别名]
def read(self, nrows=None):
nrows = _validate_integer('nrows', nrows)
ret = self._engine.read(nrows)
# May alter columns / col_dict
index, columns, col_dict = self._create_index(ret)
if index is None:
if col_dict:
# Any column is actually fine:
new_rows = len(compat.next(compat.itervalues(col_dict)))
index = RangeIndex(self._currow, self._currow + new_rows)
else:
new_rows = 0
else:
new_rows = len(index)
df = DataFrame(col_dict, columns=columns, index=index)
self._currow += new_rows
if self.squeeze and len(df.columns) == 1:
return df[df.columns[0]].copy()
return df 示例3: _next_iter_line
# 需要导入模块: from pandas import compat [as 别名]
# 或者: from pandas.compat import next [as 别名]
def _next_iter_line(self, row_num):
"""
Wrapper around iterating through `self.data` (CSV source).
When a CSV error is raised, we check for specific
error messages that allow us to customize the
error message displayed to the user.
Parameters
----------
row_num : The row number of the line being parsed.
"""
try:
return next(self.data)
except csv.Error as e:
if self.warn_bad_lines or self.error_bad_lines:
msg = str(e)
if 'NULL byte' in msg:
msg = ('NULL byte detected. This byte '
'cannot be processed in Python\'s '
'native csv library at the moment, '
'so please pass in engine=\'c\' instead')
if self.skipfooter > 0:
reason = ('Error could possibly be due to '
'parsing errors in the skipped footer rows '
'(the skipfooter keyword is only applied '
'after Python\'s csv library has parsed '
'all rows).')
msg += '. ' + reason
self._alert_malformed(msg, row_num)
return None 示例4: read
# 需要导入模块: from pandas import compat [as 别名]
# 或者: from pandas.compat import next [as 别名]
def read(self, nrows=None):
nrows = _validate_integer('nrows', nrows)
if nrows is not None:
if self.options.get('skipfooter'):
raise ValueError('skipfooter not supported for iteration')
ret = self._engine.read(nrows)
# May alter columns / col_dict
index, columns, col_dict = self._create_index(ret)
if index is None:
if col_dict:
# Any column is actually fine:
new_rows = len(compat.next(compat.itervalues(col_dict)))
index = RangeIndex(self._currow, self._currow + new_rows)
else:
new_rows = 0
else:
new_rows = len(index)
df = DataFrame(col_dict, columns=columns, index=index)
self._currow += new_rows
if self.squeeze and len(df.columns) == 1:
return df[df.columns[0]].copy()
return df 示例5: _next_iter_line
# 需要导入模块: from pandas import compat [as 别名]
# 或者: from pandas.compat import next [as 别名]
def _next_iter_line(self, row_num):
"""
Wrapper around iterating through `self.data` (CSV source).
When a CSV error is raised, we check for specific
error messages that allow us to customize the
error message displayed to the user.
Parameters
----------
row_num : The row number of the line being parsed.
"""
try:
return next(self.data)
except csv.Error as e:
if self.warn_bad_lines or self.error_bad_lines:
msg = str(e)
if 'NULL byte' in msg:
msg = ('NULL byte detected. This byte '
'cannot be processed in Python\'s '
'native csv library at the moment, '
'so please pass in engine=\'c\' instead')
elif 'newline inside string' in msg:
msg = ('EOF inside string starting with '
'line ' + str(row_num))
if self.skipfooter > 0:
reason = ('Error could possibly be due to '
'parsing errors in the skipped footer rows '
'(the skipfooter keyword is only applied '
'after Python\'s csv library has parsed '
'all rows).')
msg += '. ' + reason
self._alert_malformed(msg, row_num)
return None 示例6: read
# 需要导入模块: from pandas import compat [as 别名]
# 或者: from pandas.compat import next [as 别名]
def read(self, nrows=None):
if nrows is not None:
if self.options.get('skipfooter'):
raise ValueError('skipfooter not supported for iteration')
ret = self._engine.read(nrows)
if self.options.get('as_recarray'):
return ret
# May alter columns / col_dict
index, columns, col_dict = self._create_index(ret)
if index is None:
if col_dict:
# Any column is actually fine:
new_rows = len(compat.next(compat.itervalues(col_dict)))
index = RangeIndex(self._currow, self._currow + new_rows)
else:
new_rows = 0
else:
new_rows = len(index)
df = DataFrame(col_dict, columns=columns, index=index)
self._currow += new_rows
if self.squeeze and len(df.columns) == 1:
return df[df.columns[0]].copy()
return df 示例7: _next_line
# 需要导入模块: from pandas import compat [as 别名]
# 或者: from pandas.compat import next [as 别名]
def _next_line(self):
if isinstance(self.data, list):
while self.skipfunc(self.pos):
self.pos += 1
while True:
try:
line = self._check_comments([self.data[self.pos]])[0]
self.pos += 1
# either uncommented or blank to begin with
if (not self.skip_blank_lines and
(self._is_line_empty(
self.data[self.pos - 1]) or line)):
break
elif self.skip_blank_lines:
ret = self._remove_empty_lines([line])
if ret:
line = ret[0]
break
except IndexError:
raise StopIteration
else:
while self.skipfunc(self.pos):
self.pos += 1
next(self.data)
while True:
orig_line = self._next_iter_line(row_num=self.pos + 1)
self.pos += 1
if orig_line is not None:
line = self._check_comments([orig_line])[0]
if self.skip_blank_lines:
ret = self._remove_empty_lines([line])
if ret:
line = ret[0]
break
elif self._is_line_empty(orig_line) or line:
break
# This was the first line of the file,
# which could contain the BOM at the
# beginning of it.
if self.pos == 1:
line = self._check_for_bom(line)
self.line_pos += 1
self.buf.append(line)
return line