Python pandas.io.parsers._validate_integer() Examples

The following are 5 code examples of pandas.io.parsers._validate_integer(). 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.io.parsers , or try the search function .
Example #1
Source File: json.py    From recruit with Apache License 2.0 5 votes vote down vote up 
def __init__(self, filepath_or_buffer, orient, typ, dtype, convert_axes,
                 convert_dates, keep_default_dates, numpy, precise_float,
                 date_unit, encoding, lines, chunksize, compression):

        self.path_or_buf = filepath_or_buffer
        self.orient = orient
        self.typ = typ
        self.dtype = dtype
        self.convert_axes = convert_axes
        self.convert_dates = convert_dates
        self.keep_default_dates = keep_default_dates
        self.numpy = numpy
        self.precise_float = precise_float
        self.date_unit = date_unit
        self.encoding = encoding
        self.compression = compression
        self.lines = lines
        self.chunksize = chunksize
        self.nrows_seen = 0
        self.should_close = False

        if self.chunksize is not None:
            self.chunksize = _validate_integer("chunksize", self.chunksize, 1)
            if not self.lines:
                raise ValueError("chunksize can only be passed if lines=True")

        data = self._get_data_from_filepath(filepath_or_buffer)
        self.data = self._preprocess_data(data)
Example #2
Source File: json.py    From vnpy_crypto with MIT License 5 votes vote down vote up 
def __init__(self, filepath_or_buffer, orient, typ, dtype, convert_axes,
                 convert_dates, keep_default_dates, numpy, precise_float,
                 date_unit, encoding, lines, chunksize, compression):

        self.path_or_buf = filepath_or_buffer
        self.orient = orient
        self.typ = typ
        self.dtype = dtype
        self.convert_axes = convert_axes
        self.convert_dates = convert_dates
        self.keep_default_dates = keep_default_dates
        self.numpy = numpy
        self.precise_float = precise_float
        self.date_unit = date_unit
        self.encoding = encoding
        self.compression = compression
        self.lines = lines
        self.chunksize = chunksize
        self.nrows_seen = 0
        self.should_close = False

        if self.chunksize is not None:
            self.chunksize = _validate_integer("chunksize", self.chunksize, 1)
            if not self.lines:
                raise ValueError("chunksize can only be passed if lines=True")

        data = self._get_data_from_filepath(filepath_or_buffer)
        self.data = self._preprocess_data(data)
Example #3
Source File: json.py    From predictive-maintenance-using-machine-learning with Apache License 2.0 5 votes vote down vote up 
def __init__(self, filepath_or_buffer, orient, typ, dtype, convert_axes,
                 convert_dates, keep_default_dates, numpy, precise_float,
                 date_unit, encoding, lines, chunksize, compression):

        self.path_or_buf = filepath_or_buffer
        self.orient = orient
        self.typ = typ
        self.dtype = dtype
        self.convert_axes = convert_axes
        self.convert_dates = convert_dates
        self.keep_default_dates = keep_default_dates
        self.numpy = numpy
        self.precise_float = precise_float
        self.date_unit = date_unit
        self.encoding = encoding
        self.compression = compression
        self.lines = lines
        self.chunksize = chunksize
        self.nrows_seen = 0
        self.should_close = False

        if self.chunksize is not None:
            self.chunksize = _validate_integer("chunksize", self.chunksize, 1)
            if not self.lines:
                raise ValueError("chunksize can only be passed if lines=True")

        data = self._get_data_from_filepath(filepath_or_buffer)
        self.data = self._preprocess_data(data)
Example #4
Source File: json.py    From Splunking-Crime with GNU Affero General Public License v3.0 5 votes vote down vote up 
def __init__(self, filepath_or_buffer, orient, typ, dtype, convert_axes,
                 convert_dates, keep_default_dates, numpy, precise_float,
                 date_unit, encoding, lines, chunksize, compression):

        self.path_or_buf = filepath_or_buffer
        self.orient = orient
        self.typ = typ
        self.dtype = dtype
        self.convert_axes = convert_axes
        self.convert_dates = convert_dates
        self.keep_default_dates = keep_default_dates
        self.numpy = numpy
        self.precise_float = precise_float
        self.date_unit = date_unit
        self.encoding = encoding
        self.compression = compression
        self.lines = lines
        self.chunksize = chunksize
        self.nrows_seen = 0
        self.should_close = False

        if self.chunksize is not None:
            self.chunksize = _validate_integer("chunksize", self.chunksize, 1)
            if not self.lines:
                raise ValueError("chunksize can only be passed if lines=True")

        data = self._get_data_from_filepath(filepath_or_buffer)
        self.data = self._preprocess_data(data)
Example #5
Source File: json.py    From elasticintel with GNU General Public License v3.0 5 votes vote down vote up 
def __init__(self, filepath_or_buffer, orient, typ, dtype, convert_axes,
                 convert_dates, keep_default_dates, numpy, precise_float,
                 date_unit, encoding, lines, chunksize, compression):

        self.path_or_buf = filepath_or_buffer
        self.orient = orient
        self.typ = typ
        self.dtype = dtype
        self.convert_axes = convert_axes
        self.convert_dates = convert_dates
        self.keep_default_dates = keep_default_dates
        self.numpy = numpy
        self.precise_float = precise_float
        self.date_unit = date_unit
        self.encoding = encoding
        self.compression = compression
        self.lines = lines
        self.chunksize = chunksize
        self.nrows_seen = 0
        self.should_close = False

        if self.chunksize is not None:
            self.chunksize = _validate_integer("chunksize", self.chunksize, 1)
            if not self.lines:
                raise ValueError("chunksize can only be passed if lines=True")

        data = self._get_data_from_filepath(filepath_or_buffer)
        self.data = self._preprocess_data(data)