1. Advisor
  2. siphon
  3. functions
  4. siphon.cdmr.ncStream_pb2
View all siphon analysis

How to use the siphon.cdmr.ncStream_pb2 function in siphon

To help you get started, we’ve selected a few siphon examples, based on popular ways it is used in public projects.

Secure your code as it's written. Use Snyk Code to scan source code in minutes - no build needed - and fix issues immediately.

github Unidata / siphon / siphon / cdmr / ncstream.py View on Github external
Parameters
    ----------
    array : :class:`numpy.ndarray`
    data_header : Data

    """
    shape = tuple(r.size for r in data_header.section.range)
    if shape:
        return array.reshape(*shape)
    else:
        return array


# STRUCTURE = 8;
# SEQUENCE = 9;
_dtype_lookup = {stream.CHAR: 'S1', stream.BYTE: 'b', stream.SHORT: 'i2',
                 stream.INT: 'i4', stream.LONG: 'i8', stream.FLOAT: 'f4',
                 stream.DOUBLE: 'f8', stream.STRING: 'O',
                 stream.ENUM1: 'B', stream.ENUM2: 'u2', stream.ENUM4: 'u4',
                 stream.OPAQUE: 'O', stream.UBYTE: 'B', stream.USHORT: 'u2',
                 stream.UINT: 'u4', stream.ULONG: 'u8'}


def data_type_to_numpy(datatype, unsigned=False):
    """Convert an ncstream datatype to a numpy one."""
    basic_type = _dtype_lookup[datatype]

    if datatype in (stream.STRING, stream.OPAQUE):
        return np.dtype(basic_type)

    if unsigned:
        basic_type = basic_type.replace('i', 'u')
github Unidata / siphon / siphon / cdmr / ncstream.py View on Github external
----------
    array : :class:`numpy.ndarray`
    data_header : Data

    """
    shape = tuple(r.size for r in data_header.section.range)
    if shape:
        return array.reshape(*shape)
    else:
        return array


# STRUCTURE = 8;
# SEQUENCE = 9;
_dtype_lookup = {stream.CHAR: 'S1', stream.BYTE: 'b', stream.SHORT: 'i2',
                 stream.INT: 'i4', stream.LONG: 'i8', stream.FLOAT: 'f4',
                 stream.DOUBLE: 'f8', stream.STRING: 'O',
                 stream.ENUM1: 'B', stream.ENUM2: 'u2', stream.ENUM4: 'u4',
                 stream.OPAQUE: 'O', stream.UBYTE: 'B', stream.USHORT: 'u2',
                 stream.UINT: 'u4', stream.ULONG: 'u8'}


def data_type_to_numpy(datatype, unsigned=False):
    """Convert an ncstream datatype to a numpy one."""
    basic_type = _dtype_lookup[datatype]

    if datatype in (stream.STRING, stream.OPAQUE):
        return np.dtype(basic_type)

    if unsigned:
        basic_type = basic_type.replace('i', 'u')
    return np.dtype('=' + basic_type)
github Unidata / siphon / siphon / cdmr / ncstream.py View on Github external
ncstream_table = {MAGIC_HEADER: lambda f: read_proto_object(f, stream.Header),
                  MAGIC_DATA: read_ncstream_data,
github Unidata / siphon / siphon / cdmr / cdmrfeature_pb2.py View on Github external
oneofs=[
  ],
  serialized_start=1422,
  serialized_end=1585,
)

_COORDTRANSFORM.fields_by_name['params'].message_type = ucar_dot_nc2_dot_stream_dot_ncStream__pb2._ATTRIBUTE
_COORDAXIS.fields_by_name['dataType'].enum_type = ucar_dot_nc2_dot_stream_dot_ncStream__pb2._DATATYPE
_COORDAXIS.fields_by_name['atts'].message_type = ucar_dot_nc2_dot_stream_dot_ncStream__pb2._ATTRIBUTE
_COORDAXIS.fields_by_name['axisType'].enum_type = _AXISTYPE
_COORDAXIS.fields_by_name['depend'].enum_type = _DEPENDENCETYPE
_COORDAXIS.fields_by_name['spacing'].enum_type = _AXISSPACING
_COORDSYS.fields_by_name['coverageType'].enum_type = _COVERAGETYPE
_CALENDARDATERANGE.fields_by_name['calendar'].enum_type = _CALENDAR
_COVERAGE.fields_by_name['dataType'].enum_type = ucar_dot_nc2_dot_stream_dot_ncStream__pb2._DATATYPE
_COVERAGE.fields_by_name['atts'].message_type = ucar_dot_nc2_dot_stream_dot_ncStream__pb2._ATTRIBUTE
_COVERAGEDATASET.fields_by_name['atts'].message_type = ucar_dot_nc2_dot_stream_dot_ncStream__pb2._ATTRIBUTE
_COVERAGEDATASET.fields_by_name['latlonRect'].message_type = _RECTANGLE
_COVERAGEDATASET.fields_by_name['projRect'].message_type = _RECTANGLE
_COVERAGEDATASET.fields_by_name['dateRange'].message_type = _CALENDARDATERANGE
_COVERAGEDATASET.fields_by_name['coordSys'].message_type = _COORDSYS
_COVERAGEDATASET.fields_by_name['coordTransforms'].message_type = _COORDTRANSFORM
_COVERAGEDATASET.fields_by_name['coordAxes'].message_type = _COORDAXIS
_COVERAGEDATASET.fields_by_name['grids'].message_type = _COVERAGE
_COVERAGEDATASET.fields_by_name['coverageType'].enum_type = _COVERAGETYPE
_GEOREFERENCEDARRAY.fields_by_name['dataType'].enum_type = ucar_dot_nc2_dot_stream_dot_ncStream__pb2._DATATYPE
_GEOREFERENCEDARRAY.fields_by_name['compress'].enum_type = ucar_dot_nc2_dot_stream_dot_ncStream__pb2._COMPRESS
_COVERAGEDATARESPONSE.fields_by_name['coordAxes'].message_type = _COORDAXIS
_COVERAGEDATARESPONSE.fields_by_name['coordSys'].message_type = _COORDSYS
_COVERAGEDATARESPONSE.fields_by_name['coordTransforms'].message_type = _COORDTRANSFORM
_COVERAGEDATARESPONSE.fields_by_name['geoArray'].message_type = _GEOREFERENCEDARRAY
DESCRIPTOR.message_types_by_name['CoordTransform'] = _COORDTRANSFORM
github Unidata / siphon / siphon / cdmr / ncstream.py View on Github external
data_header : Data

    """
    shape = tuple(r.size for r in data_header.section.range)
    if shape:
        return array.reshape(*shape)
    else:
        return array


# STRUCTURE = 8;
# SEQUENCE = 9;
_dtype_lookup = {stream.CHAR: 'S1', stream.BYTE: 'b', stream.SHORT: 'i2',
                 stream.INT: 'i4', stream.LONG: 'i8', stream.FLOAT: 'f4',
                 stream.DOUBLE: 'f8', stream.STRING: 'O',
                 stream.ENUM1: 'B', stream.ENUM2: 'u2', stream.ENUM4: 'u4',
                 stream.OPAQUE: 'O', stream.UBYTE: 'B', stream.USHORT: 'u2',
                 stream.UINT: 'u4', stream.ULONG: 'u8'}


def data_type_to_numpy(datatype, unsigned=False):
    """Convert an ncstream datatype to a numpy one."""
    basic_type = _dtype_lookup[datatype]

    if datatype in (stream.STRING, stream.OPAQUE):
        return np.dtype(basic_type)

    if unsigned:
        basic_type = basic_type.replace('i', 'u')
    return np.dtype('=' + basic_type)
github Unidata / siphon / siphon / cdmr / ncstream.py View on Github external
"""
    shape = tuple(r.size for r in data_header.section.range)
    if shape:
        return array.reshape(*shape)
    else:
        return array


# STRUCTURE = 8;
# SEQUENCE = 9;
_dtype_lookup = {stream.CHAR: 'S1', stream.BYTE: 'b', stream.SHORT: 'i2',
                 stream.INT: 'i4', stream.LONG: 'i8', stream.FLOAT: 'f4',
                 stream.DOUBLE: 'f8', stream.STRING: 'O',
                 stream.ENUM1: 'B', stream.ENUM2: 'u2', stream.ENUM4: 'u4',
                 stream.OPAQUE: 'O', stream.UBYTE: 'B', stream.USHORT: 'u2',
                 stream.UINT: 'u4', stream.ULONG: 'u8'}


def data_type_to_numpy(datatype, unsigned=False):
    """Convert an ncstream datatype to a numpy one."""
    basic_type = _dtype_lookup[datatype]

    if datatype in (stream.STRING, stream.OPAQUE):
        return np.dtype(basic_type)

    if unsigned:
        basic_type = basic_type.replace('i', 'u')
    return np.dtype('=' + basic_type)


def struct_to_dtype(struct):
github Unidata / siphon / siphon / cdmr / cdmrfeature_pb2.py View on Github external
from google.protobuf import descriptor_pb2
# @@protoc_insertion_point(imports)

_sym_db = _symbol_database.Default()


from . import ncStream_pb2 as ucar_dot_nc2_dot_stream_dot_ncStream__pb2


DESCRIPTOR = _descriptor.FileDescriptor(
  name='cdmrfeature.proto',
  package='',
  syntax='proto3',
  serialized_pb=_b('\n\x11\x63\x64mrfeature.proto\x1a\x1eucar/nc2/stream/ncStream.proto\"K\n\x0e\x43oordTransform\x12\x0f\n\x07isHoriz\x18\x01 \x01(\x08\x12\x0c\n\x04name\x18\x02 \x01(\t\x12\x1a\n\x06params\x18\x03 \x03(\x0b\x32\n.Attribute\"\xce\x02\n\tCoordAxis\x12\x0c\n\x04name\x18\x01 \x01(\t\x12\x1b\n\x08\x64\x61taType\x18\x02 \x01(\x0e\x32\t.DataType\x12\x18\n\x04\x61tts\x18\x03 \x03(\x0b\x32\n.Attribute\x12\x1b\n\x08\x61xisType\x18\x04 \x01(\x0e\x32\t.AxisType\x12\r\n\x05units\x18\x05 \x01(\t\x12\x13\n\x0b\x64\x65scription\x18\x06 \x01(\t\x12\x1f\n\x06\x64\x65pend\x18\x07 \x01(\x0e\x32\x0f.DependenceType\x12\x11\n\tdependsOn\x18\x08 \x03(\t\x12\r\n\x05shape\x18\t \x03(\r\x12\x0f\n\x07nvalues\x18\n \x01(\x03\x12\x1d\n\x07spacing\x18\x0b \x01(\x0e\x32\x0c.AxisSpacing\x12\x12\n\nstartValue\x18\x0c \x01(\x01\x12\x10\n\x08\x65ndValue\x18\r \x01(\x01\x12\x12\n\nresolution\x18\x0e \x01(\x01\x12\x0e\n\x06values\x18\x0f \x01(\x0c\"h\n\x08\x43oordSys\x12\x0c\n\x04name\x18\x01 \x01(\t\x12\x11\n\taxisNames\x18\x02 \x03(\t\x12\x16\n\x0etransformNames\x18\x03 \x03(\t\x12#\n\x0c\x63overageType\x18\x05 \x01(\x0e\x32\r.CoverageType\"L\n\x11\x43\x61lendarDateRange\x12\r\n\x05start\x18\x01 \x01(\x03\x12\x0b\n\x03\x65nd\x18\x02 \x01(\x03\x12\x1b\n\x08\x63\x61lendar\x18\x03 \x01(\x0e\x32\t.Calendar\"G\n\tRectangle\x12\x0e\n\x06startx\x18\x01 \x01(\x01\x12\x0e\n\x06starty\x18\x02 \x01(\x01\x12\x0c\n\x04incx\x18\x03 \x01(\x01\x12\x0c\n\x04incy\x18\x04 \x01(\x01\"\x85\x01\n\x08\x43overage\x12\x0c\n\x04name\x18\x01 \x01(\t\x12\x1b\n\x08\x64\x61taType\x18\x02 \x01(\x0e\x32\t.DataType\x12\x18\n\x04\x61tts\x18\x04 \x03(\x0b\x32\n.Attribute\x12\x10\n\x08\x63oordSys\x18\x05 \x01(\t\x12\r\n\x05units\x18\x06 \x01(\t\x12\x13\n\x0b\x64\x65scription\x18\x07 \x01(\t\"\xc3\x02\n\x0f\x43overageDataset\x12\x0c\n\x04name\x18\x01 \x01(\t\x12\x18\n\x04\x61tts\x18\x02 \x03(\x0b\x32\n.Attribute\x12\x1e\n\nlatlonRect\x18\x03 \x01(\x0b\x32\n.Rectangle\x12\x1c\n\x08projRect\x18\x04 \x01(\x0b\x32\n.Rectangle\x12%\n\tdateRange\x18\x05 \x01(\x0b\x32\x12.CalendarDateRange\x12\x1b\n\x08\x63oordSys\x18\x06 \x03(\x0b\x32\t.CoordSys\x12(\n\x0f\x63oordTransforms\x18\x07 \x03(\x0b\x32\x0f.CoordTransform\x12\x1d\n\tcoordAxes\x18\x08 \x03(\x0b\x32\n.CoordAxis\x12\x18\n\x05grids\x18\t \x03(\x0b\x32\t.Coverage\x12#\n\x0c\x63overageType\x18\n \x01(\x0e\x32\r.CoverageType\"\xe8\x01\n\x12GeoReferencedArray\x12\x14\n\x0c\x63overageName\x18\x01 \x01(\t\x12\x1b\n\x08\x64\x61taType\x18\x02 \x01(\x0e\x32\t.DataType\x12\x0e\n\x06\x62igend\x18\x03 \x01(\x08\x12\x0f\n\x07version\x18\x04 \x01(\r\x12\x1b\n\x08\x63ompress\x18\x05 \x01(\x0e\x32\t.Compress\x12\x18\n\x10uncompressedSize\x18\x06 \x01(\x04\x12\r\n\x05shape\x18\x07 \x03(\r\x12\x10\n\x08\x61xisName\x18\x08 \x03(\t\x12\x14\n\x0c\x63oordSysName\x18\t \x01(\t\x12\x10\n\x08primdata\x18\n \x01(\x0c\"\xa3\x01\n\x14\x43overageDataResponse\x12\x1d\n\tcoordAxes\x18\x01 \x03(\x0b\x32\n.CoordAxis\x12\x1b\n\x08\x63oordSys\x18\x02 \x03(\x0b\x32\t.CoordSys\x12(\n\x0f\x63oordTransforms\x18\x03 \x03(\x0b\x32\x0f.CoordTransform\x12%\n\x08geoArray\x18\x04 \x03(\x0b\x32\x13.GeoReferencedArray*\xd3\x01\n\x08\x41xisType\x12\x0b\n\x07RunTime\x10\x00\x12\x0c\n\x08\x45nsemble\x10\x01\x12\x08\n\x04Time\x10\x02\x12\x08\n\x04GeoX\x10\x03\x12\x08\n\x04GeoY\x10\x04\x12\x08\n\x04GeoZ\x10\x05\x12\x07\n\x03Lat\x10\x06\x12\x07\n\x03Lon\x10\x07\x12\n\n\x06Height\x10\x08\x12\x0c\n\x08Pressure\x10\t\x12\x11\n\rRadialAzimuth\x10\n\x12\x12\n\x0eRadialDistance\x10\x0b\x12\x13\n\x0fRadialElevation\x10\x0c\x12\x0c\n\x08Spectral\x10\r\x12\x0e\n\nTimeOffset\x10\x0e*{\n\x0b\x41xisSpacing\x12\x10\n\x0cregularPoint\x10\x00\x12\x12\n\x0eirregularPoint\x10\x01\x12\x16\n\x12\x63ontiguousInterval\x10\x02\x12\x19\n\x15\x64iscontiguousInterval\x10\x03\x12\x13\n\x0fregularInterval\x10\x04*S\n\x0e\x44\x65pendenceType\x12\x0f\n\x0bindependent\x10\x00\x12\r\n\tdependent\x10\x01\x12\n\n\x06scalar\x10\x02\x12\x08\n\x04twoD\x10\x03\x12\x0b\n\x07\x66mrcReg\x10\x04*t\n\x08\x43\x61lendar\x12\x17\n\x13proleptic_gregorian\x10\x00\x12\r\n\tgregorian\x10\x01\x12\n\n\x06noleap\x10\x02\x12\x0c\n\x08\x61ll_leap\x10\x03\x12\x10\n\x0cuniform30day\x10\x04\x12\n\n\x06julian\x10\x05\x12\x08\n\x04none\x10\x06*K\n\x0c\x43overageType\x12\x0b\n\x07General\x10\x00\x12\x0f\n\x0b\x43urvilinear\x10\x01\x12\x08\n\x04Grid\x10\x02\x12\t\n\x05Swath\x10\x03\x12\x08\n\x04\x46mrc\x10\x04\x42\x30\n\x1cucar.nc2.ft2.coverage.remoteB\x10\x43\x64mrFeatureProtob\x06proto3')
  ,
  dependencies=[ucar_dot_nc2_dot_stream_dot_ncStream__pb2.DESCRIPTOR,])
_sym_db.RegisterFileDescriptor(DESCRIPTOR)

_AXISTYPE = _descriptor.EnumDescriptor(
  name='AxisType',
  full_name='AxisType',
  filename=None,
  file=DESCRIPTOR,
  values=[
    _descriptor.EnumValueDescriptor(
      name='RunTime', index=0, number=0,
      options=None,
      type=None),
    _descriptor.EnumValueDescriptor(
      name='Ensemble', index=1, number=1,
      options=None,
      type=None),

siphon

A collection of Python utilities for interacting with the Unidata technology stack.

GitHub
BSD-3-Clause
Latest version published 3 years ago

Package Health Score

57 / 100
Full package analysis

Popular siphon functions

Similar packages