Python pandas.core.dtypes.common.is_float() Examples
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code examples of pandas.core.dtypes.common.is_float().
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Example #1
Source File: excel.py From recruit with Apache License 2.0 | 5 votes |
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
Example #2
Source File: style.py From recruit with Apache License 2.0 | 5 votes |
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)
Example #3
Source File: excel.py From vnpy_crypto with MIT License | 5 votes |
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
Example #4
Source File: style.py From vnpy_crypto with MIT License | 5 votes |
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)
Example #5
Source File: excel.py From predictive-maintenance-using-machine-learning with Apache License 2.0 | 5 votes |
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
Example #6
Source File: style.py From predictive-maintenance-using-machine-learning with Apache License 2.0 | 5 votes |
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)
Example #7
Source File: excel.py From Splunking-Crime with GNU Affero General Public License v3.0 | 5 votes |
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
Example #8
Source File: style.py From Splunking-Crime with GNU Affero General Public License v3.0 | 5 votes |
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)
Example #9
Source File: excel.py From elasticintel with GNU General Public License v3.0 | 5 votes |
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
Example #10
Source File: style.py From elasticintel with GNU General Public License v3.0 | 5 votes |
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)