本文整理匯總了Python中pandas.core.dtypes.common.is_float方法的典型用法代碼示例。如果您正苦於以下問題：Python common.is_float方法的具體用法？Python common.is_float怎麽用？Python common.is_float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.dtypes.common的用法示例。
在下文中一共展示了common.is_float方法的5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: _format_value
# 需要導入模塊: from pandas.core.dtypes import common [as 別名]
# 或者: from pandas.core.dtypes.common import is_float [as 別名]
def _format_value(self, val):
if is_scalar(val) and missing.isna(val):
val = self.na_rep
elif is_float(val):
if missing.isposinf_scalar(val):
val = self.inf_rep
elif missing.isneginf_scalar(val):
val = '-{inf}'.format(inf=self.inf_rep)
elif self.float_format is not None:
val = float(self.float_format % val)
return val 示例2: __init__
# 需要導入模塊: from pandas.core.dtypes import common [as 別名]
# 或者: from pandas.core.dtypes.common import is_float [as 別名]
def __init__(self, data, precision=None, table_styles=None, uuid=None,
caption=None, table_attributes=None, cell_ids=True):
self.ctx = defaultdict(list)
self._todo = []
if not isinstance(data, (pd.Series, pd.DataFrame)):
raise TypeError("``data`` must be a Series or DataFrame")
if data.ndim == 1:
data = data.to_frame()
if not data.index.is_unique or not data.columns.is_unique:
raise ValueError("style is not supported for non-unique indices.")
self.data = data
self.index = data.index
self.columns = data.columns
self.uuid = uuid
self.table_styles = table_styles
self.caption = caption
if precision is None:
precision = get_option('display.precision')
self.precision = precision
self.table_attributes = table_attributes
self.hidden_index = False
self.hidden_columns = []
self.cell_ids = cell_ids
# display_funcs maps (row, col) -> formatting function
def default_display_func(x):
if is_float(x):
return '{:>.{precision}g}'.format(x, precision=self.precision)
else:
return x
self._display_funcs = defaultdict(lambda: default_display_func) 示例3: __init__
# 需要導入模塊: from pandas.core.dtypes import common [as 別名]
# 或者: from pandas.core.dtypes.common import is_float [as 別名]
def __init__(self, data, precision=None, table_styles=None, uuid=None,
caption=None, table_attributes=None):
self.ctx = defaultdict(list)
self._todo = []
if not isinstance(data, (pd.Series, pd.DataFrame)):
raise TypeError("``data`` must be a Series or DataFrame")
if data.ndim == 1:
data = data.to_frame()
if not data.index.is_unique or not data.columns.is_unique:
raise ValueError("style is not supported for non-unique indicies.")
self.data = data
self.index = data.index
self.columns = data.columns
self.uuid = uuid
self.table_styles = table_styles
self.caption = caption
if precision is None:
precision = get_option('display.precision')
self.precision = precision
self.table_attributes = table_attributes
self.hidden_index = False
self.hidden_columns = []
# display_funcs maps (row, col) -> formatting function
def default_display_func(x):
if is_float(x):
return '{:>.{precision}g}'.format(x, precision=self.precision)
else:
return x
self._display_funcs = defaultdict(lambda: default_display_func) 示例4: _format_value
# 需要導入模塊: from pandas.core.dtypes import common [as 別名]
# 或者: from pandas.core.dtypes.common import is_float [as 別名]
def _format_value(self, val):
if lib.checknull(val):
val = self.na_rep
elif is_float(val):
if lib.isposinf_scalar(val):
val = self.inf_rep
elif lib.isneginf_scalar(val):
val = '-{inf}'.format(inf=self.inf_rep)
elif self.float_format is not None:
val = float(self.float_format % val)
return val 示例5: __init__
# 需要導入模塊: from pandas.core.dtypes import common [as 別名]
# 或者: from pandas.core.dtypes.common import is_float [as 別名]
def __init__(self, data, precision=None, table_styles=None, uuid=None,
caption=None, table_attributes=None):
self.ctx = defaultdict(list)
self._todo = []
if not isinstance(data, (pd.Series, pd.DataFrame)):
raise TypeError("``data`` must be a Series or DataFrame")
if data.ndim == 1:
data = data.to_frame()
if not data.index.is_unique or not data.columns.is_unique:
raise ValueError("style is not supported for non-unique indicies.")
self.data = data
self.index = data.index
self.columns = data.columns
self.uuid = uuid
self.table_styles = table_styles
self.caption = caption
if precision is None:
precision = get_option('display.precision')
self.precision = precision
self.table_attributes = table_attributes
# display_funcs maps (row, col) -> formatting function
def default_display_func(x):
if is_float(x):
return '{:>.{precision}g}'.format(x, precision=self.precision)
else:
return x
self._display_funcs = defaultdict(lambda: default_display_func)