本文整理匯總了Python中pandas.core.index._sparsify方法的典型用法代碼示例。如果您正苦於以下問題：Python index._sparsify方法的具體用法？Python index._sparsify怎麽用？Python index._sparsify使用的例子？那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類pandas.core.index的用法示例。
在下文中一共展示了index._sparsify方法的4個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Python代碼示例。
示例1: _get_formatted_column_labels
# 需要導入模塊: from pandas.core import index [as 別名]
# 或者: from pandas.core.index import _sparsify [as 別名]
def _get_formatted_column_labels(self, frame):
from pandas.core.index import _sparsify
columns = frame.columns
if isinstance(columns, ABCMultiIndex):
fmt_columns = columns.format(sparsify=False, adjoin=False)
fmt_columns = lzip(*fmt_columns)
dtypes = self.frame.dtypes._values
# if we have a Float level, they don't use leading space at all
restrict_formatting = any(l.is_floating for l in columns.levels)
need_leadsp = dict(zip(fmt_columns, map(is_numeric_dtype, dtypes)))
def space_format(x, y):
if (y not in self.formatters and
need_leadsp[x] and not restrict_formatting):
return ' ' + y
return y
str_columns = list(zip(*[[space_format(x, y) for y in x]
for x in fmt_columns]))
if self.sparsify and len(str_columns):
str_columns = _sparsify(str_columns)
str_columns = [list(x) for x in zip(*str_columns)]
else:
fmt_columns = columns.format()
dtypes = self.frame.dtypes
need_leadsp = dict(zip(fmt_columns, map(is_numeric_dtype, dtypes)))
str_columns = [[' ' + x if not self._get_formatter(i) and
need_leadsp[x] else x]
for i, (col, x) in enumerate(zip(columns,
fmt_columns))]
if self.show_row_idx_names:
for x in str_columns:
x.append('')
# self.str_columns = str_columns
return str_columns 示例2: _get_formatted_column_labels
# 需要導入模塊: from pandas.core import index [as 別名]
# 或者: from pandas.core.index import _sparsify [as 別名]
def _get_formatted_column_labels(self, frame):
from pandas.core.index import _sparsify
columns = frame.columns
if isinstance(columns, MultiIndex):
fmt_columns = columns.format(sparsify=False, adjoin=False)
fmt_columns = lzip(*fmt_columns)
dtypes = self.frame.dtypes._values
# if we have a Float level, they don't use leading space at all
restrict_formatting = any(l.is_floating for l in columns.levels)
need_leadsp = dict(zip(fmt_columns, map(is_numeric_dtype, dtypes)))
def space_format(x, y):
if (y not in self.formatters and
need_leadsp[x] and not restrict_formatting):
return ' ' + y
return y
str_columns = list(zip(*[[space_format(x, y) for y in x]
for x in fmt_columns]))
if self.sparsify and len(str_columns):
str_columns = _sparsify(str_columns)
str_columns = [list(x) for x in zip(*str_columns)]
else:
fmt_columns = columns.format()
dtypes = self.frame.dtypes
need_leadsp = dict(zip(fmt_columns, map(is_numeric_dtype, dtypes)))
str_columns = [[' ' + x if not self._get_formatter(i) and
need_leadsp[x] else x]
for i, (col, x) in enumerate(zip(columns,
fmt_columns))]
if self.show_index_names and self.has_index_names:
for x in str_columns:
x.append('')
# self.str_columns = str_columns
return str_columns 示例3: _get_formatted_column_labels
# 需要導入模塊: from pandas.core import index [as 別名]
# 或者: from pandas.core.index import _sparsify [as 別名]
def _get_formatted_column_labels(self):
from pandas.core.index import _sparsify
def is_numeric_dtype(dtype):
return issubclass(dtype.type, np.number)
if self.max_cols:
columns = self.columns[:self.max_cols]
else:
columns = self.columns
if isinstance(columns, MultiIndex):
fmt_columns = columns.format(sparsify=False, adjoin=False)
fmt_columns = lzip(*fmt_columns)
dtypes = self.frame.dtypes.values
need_leadsp = dict(zip(fmt_columns, map(is_numeric_dtype, dtypes)))
str_columns = list(zip(*[
[' ' + y if y not in self.formatters and need_leadsp[x]
else y for y in x] for x in fmt_columns]))
if self.sparsify:
str_columns = _sparsify(str_columns)
str_columns = [list(x) for x in zip(*str_columns)]
else:
fmt_columns = columns.format()
dtypes = self.frame.dtypes
need_leadsp = dict(zip(fmt_columns, map(is_numeric_dtype, dtypes)))
str_columns = [[' ' + x
if not self._get_formatter(i) and need_leadsp[x]
else x]
for i, (col, x) in
enumerate(zip(columns, fmt_columns))]
if self.show_index_names and self.has_index_names:
for x in str_columns:
x.append('')
return str_columns 示例4: _get_formatted_column_labels
# 需要導入模塊: from pandas.core import index [as 別名]
# 或者: from pandas.core.index import _sparsify [as 別名]
def _get_formatted_column_labels(self, frame):
from pandas.core.index import _sparsify
columns = frame.columns
if isinstance(columns, MultiIndex):
fmt_columns = columns.format(sparsify=False, adjoin=False)
fmt_columns = lzip(*fmt_columns)
dtypes = self.frame.dtypes._values
# if we have a Float level, they don't use leading space at all
restrict_formatting = any([l.is_floating for l in columns.levels])
need_leadsp = dict(zip(fmt_columns, map(is_numeric_dtype, dtypes)))
def space_format(x, y):
if (y not in self.formatters and
need_leadsp[x] and not restrict_formatting):
return ' ' + y
return y
str_columns = list(zip(*[[space_format(x, y) for y in x]
for x in fmt_columns]))
if self.sparsify:
str_columns = _sparsify(str_columns)
str_columns = [list(x) for x in zip(*str_columns)]
else:
fmt_columns = columns.format()
dtypes = self.frame.dtypes
need_leadsp = dict(zip(fmt_columns, map(is_numeric_dtype, dtypes)))
str_columns = [[' ' + x if not self._get_formatter(i) and
need_leadsp[x] else x]
for i, (col, x) in enumerate(zip(columns,
fmt_columns))]
if self.show_index_names and self.has_index_names:
for x in str_columns:
x.append('')
# self.str_columns = str_columns
return str_columns