Python pandas.core.dtypes.common.is_float() Examples

The following are 10 code examples of pandas.core.dtypes.common.is_float(). You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example. You may also want to check out all available functions/classes of the module pandas.core.dtypes.common , or try the search function .
Example #1
Source File: excel.py    From recruit with Apache License 2.0 5 votes vote down vote up
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 vote down vote up
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 vote down vote up
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 vote down vote up
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 vote down vote up
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 vote down vote up
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 vote down vote up
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 vote down vote up
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 vote down vote up
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 vote down vote up
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)