Python ogr.OFTReal方法代码示例

# 需要导入模块: from osgeo import ogr [as 别名]
# 或者: from osgeo.ogr import OFTReal [as 别名]
def set_attribute(self, name, values):
        """Add/Set given Attribute with given values

        Parameters
        ----------
        name : string
            Attribute Name
        values : :class:`numpy:numpy.ndarray`
            Values to fill in attributes
        """
        lyr = self.ds.GetLayerByIndex(0)
        lyr.ResetReading()
        # todo: automatically check for value type
        defn = lyr.GetLayerDefn()

        if defn.GetFieldIndex(name) == -1:
            lyr.CreateField(ogr.FieldDefn(name, ogr.OFTReal))

        for i, item in enumerate(lyr):
            item.SetField(name, values[i])
            lyr.SetFeature(item) 

# 需要导入模块: from osgeo import ogr [as 别名]
# 或者: from osgeo.ogr import OFTReal [as 别名]
def polygonize(img,shp_path):
    # mapping between gdal type and ogr field type
    type_mapping = {gdal.GDT_Byte: ogr.OFTInteger,
                    gdal.GDT_UInt16: ogr.OFTInteger,
                    gdal.GDT_Int16: ogr.OFTInteger,
                    gdal.GDT_UInt32: ogr.OFTInteger,
                    gdal.GDT_Int32: ogr.OFTInteger,
                    gdal.GDT_Float32: ogr.OFTReal,
                    gdal.GDT_Float64: ogr.OFTReal,
                    gdal.GDT_CInt16: ogr.OFTInteger,
                    gdal.GDT_CInt32: ogr.OFTInteger,
                    gdal.GDT_CFloat32: ogr.OFTReal,
                    gdal.GDT_CFloat64: ogr.OFTReal}

    ds = gdal.Open(img)
    prj = ds.GetProjection()
    srcband = ds.GetRasterBand(1)
    dst_layername = "Shape"
    drv = ogr.GetDriverByName("ESRI Shapefile")
    dst_ds = drv.CreateDataSource(shp_path)
    srs = osr.SpatialReference(wkt=prj)

    dst_layer = dst_ds.CreateLayer(dst_layername, srs=srs)
    raster_field = ogr.FieldDefn('id', type_mapping[srcband.DataType])
    dst_layer.CreateField(raster_field)
    gdal.Polygonize(srcband, srcband, dst_layer, 0, [], callback=None)
    del img, ds, srcband, dst_ds, dst_layer


# convert images in a selected folder to shapefiles 

# 需要导入模块: from osgeo import ogr [as 别名]
# 或者: from osgeo.ogr import OFTReal [as 别名]
def polygonize(img,shp_path):
    # mapping between gdal type and ogr field type
    type_mapping = {gdal.GDT_Byte: ogr.OFTInteger,
                    gdal.GDT_UInt16: ogr.OFTInteger,
                    gdal.GDT_Int16: ogr.OFTInteger,
                    gdal.GDT_UInt32: ogr.OFTInteger,
                    gdal.GDT_Int32: ogr.OFTInteger,
                    gdal.GDT_Float32: ogr.OFTReal,
                    gdal.GDT_Float64: ogr.OFTReal,
                    gdal.GDT_CInt16: ogr.OFTInteger,
                    gdal.GDT_CInt32: ogr.OFTInteger,
                    gdal.GDT_CFloat32: ogr.OFTReal,
                    gdal.GDT_CFloat64: ogr.OFTReal}

    ds = gdal.Open(img)
    prj = ds.GetProjection()
    srcband = ds.GetRasterBand(1)

    dst_layername = "Shape"
    drv = ogr.GetDriverByName("ESRI Shapefile")
    dst_ds = drv.CreateDataSource(shp_path)
    srs = osr.SpatialReference(wkt=prj)

    dst_layer = dst_ds.CreateLayer(dst_layername, srs=srs)
    # raster_field = ogr.FieldDefn('id', type_mapping[srcband.DataType])
    raster_field = ogr.FieldDefn('id', type_mapping[gdal.GDT_Int32])
    dst_layer.CreateField(raster_field)
    gdal.Polygonize(srcband, srcband, dst_layer, 0, [], callback=None)
    del img, ds, srcband, dst_ds, dst_layer


# extract sinks from dem 

# 需要导入模块: from osgeo import ogr [as 别名]
# 或者: from osgeo.ogr import OFTReal [as 别名]
def test_ogr_create_layer(self):
        ds = wradlib.io.gdal_create_dataset("Memory", "test", gdal_type=gdal.OF_VECTOR)
        with pytest.raises(TypeError):
            georef.ogr_create_layer(ds, "test")
        lyr = georef.ogr_create_layer(
            ds, "test", geom_type=ogr.wkbPoint, fields=[("test", ogr.OFTReal)]
        )
        assert isinstance(lyr, ogr.Layer) 

# 需要导入模块: from osgeo import ogr [as 别名]
# 或者: from osgeo.ogr import OFTReal [as 别名]
def test_ogr_add_feature(self):
        ds = wradlib.io.gdal_create_dataset("Memory", "test", gdal_type=gdal.OF_VECTOR)
        georef.ogr_create_layer(
            ds, "test", geom_type=ogr.wkbPoint, fields=[("index", ogr.OFTReal)]
        )

        point = np.array([1198054.34, 648493.09])
        parr = np.array([point, point, point])
        georef.ogr_add_feature(ds, parr)
        georef.ogr_add_feature(ds, parr, name="test") 

# 需要导入模块: from osgeo import ogr [as 别名]
# 或者: from osgeo.ogr import OFTReal [as 别名]
def test_ogr_add_geometry(self):
        ds = wradlib.io.gdal_create_dataset("Memory", "test", gdal_type=gdal.OF_VECTOR)
        lyr = georef.ogr_create_layer(
            ds, "test", geom_type=ogr.wkbPoint, fields=[("test", ogr.OFTReal)]
        )
        point = ogr.Geometry(ogr.wkbPoint)
        point.AddPoint(1198054.34, 648493.09)
        georef.ogr_add_geometry(lyr, point, [42.42]) 

# 需要导入模块: from osgeo import ogr [as 别名]
# 或者: from osgeo.ogr import OFTReal [as 别名]
def get_ogr_feature_attribute(attr, feature):
    attr_name = attr.name

    if not feature.IsFieldSet(attr_name):
        return (True, None)

    if attr.type == ogr.OFTInteger:
        value = str(feature.GetFieldAsInteger(attr_name))
    elif attr.type == ogr.OFTIntegerList:
        value = repr(feature.GetFieldAsIntegerList(attr_name))
    elif attr.type == ogr.OFTReal:
        value = feature.GetFieldAsDouble(attr_name)
        value = "%*.*f" % (attr.width, attr.precision, value)
    elif attr.type == ogr.OFTRealList:
        values = feature.GetFieldAsDoubleList(attr_name)
        str_values = []
        for value in values:
            str_values.append("%*.*f" % (attr.width,
                                         attr.precision, value))
        value = repr(str_values)
    elif attr.type == ogr.OFTString:
        value = feature.GetFieldAsString(attr_name)
    elif attr.type == ogr.OFTStringList:
        value = repr(feature.GetFieldAsStringList(attr_name))
    elif attr.type == ogr.OFTDate:
        parts = feature.GetFieldAsDateTime(attr_name)
        year,month,day,hour,minute,second,tzone = parts
        value = "%d,%d,%d,%d" % (year,month,day,tzone)
    elif attr.type == ogr.OFTTime:
        parts = feature.GetFieldAsDateTime(attr_name)
        year,month,day,hour,minute,second,tzone = parts
        value = "%d,%d,%d,%d" % (hour,minute,second,tzone)
    elif attr.type == ogr.OFTDateTime:
        parts = feature.GetFieldAsDateTime(attr_name)
        year,month,day,hour,minute,second,tzone = parts
        value = "%d,%d,%d,%d,%d,%d,%d,%d" % (year,month,day,
                                             hour,minute,
                                             second,tzone)
    else:
        return (False, "Unsupported attribute type: " +
                       str(attr.type))

    return (True, value)

############################################################################# 

# 需要导入模块: from osgeo import ogr [as 别名]
# 或者: from osgeo.ogr import OFTReal [as 别名]
def set_ogr_feature_attribute(attr, value, feature):
    attr_name = attr.name

    if value == None:
        feature.UnsetField(attr_name)
        return

    if attr.type == ogr.OFTInteger:
        feature.SetField(attr_name, int(value))
    elif attr.type == ogr.OFTIntegerList:
        integers = eval(value)
        feature.SetFieldIntegerList(attr_name, integers)
    elif attr.type == ogr.OFTReal:
        feature.SetField(attr_name, float(value))
    elif attr.type == ogr.OFTRealList:
        floats = []
        for s in eval(value):
            floats.append(eval(s))
        feature.SetFieldDoubleList(attr_name, floats)
    elif attr.type == ogr.OFTString:
        feature.SetField(attr_name, value)
    elif attr.type == ogr.OFTStringList:
        strings = []
        for s in eval(value):
            strings.append(s.encode(encoding))
        feature.SetFieldStringList(attr_name, strings)
    elif attr.type == ogr.OFTDate:
        parts = value.split(",")
        year  = int(parts[0])
        month = int(parts[1])
        day   = int(parts[2])
        tzone = int(parts[3])
        feature.SetField(attr_name, year, month, day,
                         0, 0, 0, tzone)
    elif attr.type == ogr.OFTTime:
        parts  = value.split(",")
        hour   = int(parts[0])
        minute = int(parts[1])
        second = int(parts[2])
        tzone  = int(parts[3])
        feature.SetField(attr_name, 0, 0, 0,
                         hour, minute, second, tzone)
    elif attr.type == ogr.OFTDateTime:
        parts = value.split(",")
        year   = int(parts[0])
        month  = int(parts[1])
        day    = int(parts[2])
        hour   = int(parts[3])
        minute = int(parts[4])
        second = int(parts[5])
        tzone  = int(parts[6])
        feature.SetField(attr_mame, year, month, day,
                         hour, minute, second, tzone) 

# 需要导入模块: from osgeo import ogr [as 别名]
# 或者: from osgeo.ogr import OFTReal [as 别名]
def cropYield(shapefile, name, startdate="", enddate="", crop="maize", dbname="rheas"):
    """Extract crop yield from a specified simulation *name* for dates ranging
    from *startdate* to *enddate*, and saves them a *shapefile*."""
    logging.basicConfig(level=logging.INFO, format='%(message)s')
    log = logging.getLogger(__name__)
    db = dbio.connect(dbname)
    cur = db.cursor()
    datesql = ""
    if len(startdate) > 0:
        try:
            sdt = datetime.strptime(startdate, "%Y-%m-%d")
            datesql = "and fdate>=date'{0}'".format(sdt.strftime("%Y-%m-%d"))
        except ValueError:
            log.warning("Start date is invalid and will be ignored.")
    if len(enddate) > 0:
        try:
            edt = datetime.strptime(enddate, "%Y-%m-%d")
            datesql += "and fdate<=date'{0}'".format(edt.strftime("%y-%m-%d"))
        except ValueError:
            log.warning("End date is invalid and will be ignored.")
    fsql = "with f as (select gid,geom,gwad,ensemble,fdate from (select gid,geom,gwad,ensemble,fdate,row_number() over (partition by gid,ensemble order by gwad desc) as rn from {0}.dssat) gwadtable where rn=1 {1})".format(name, datesql)
    sql = "{0} select gid,st_astext(geom),max(gwad) as max_yield,avg(gwad) as avg_yield,stddev(gwad) as std_yield,max(fdate) as fdate from f group by gid,geom".format(fsql)
    cur.execute(sql)
    if bool(cur.rowcount):
        results = cur.fetchall()
        drv = ogr.GetDriverByName("ESRI Shapefile")
        ds = drv.CreateDataSource(shapefile)
        lyr = ds.CreateLayer("yield", geom_type=ogr.wkbMultiPolygon)
        lyr.CreateField(ogr.FieldDefn("gid", ogr.OFTInteger))
        lyr.CreateField(ogr.FieldDefn("average", ogr.OFTReal))
        lyr.CreateField(ogr.FieldDefn("maximum", ogr.OFTReal))
        lyr.CreateField(ogr.FieldDefn("minimum", ogr.OFTReal))
        for row in results:
            feat = ogr.Feature(lyr.GetLayerDefn())
            feat.SetField("gid", row[0])
            feat.SetField("maximum", row[2])
            feat.SetField("average", row[3])
            feat.SetField("minimum", row[4])
            feat.SetGeometry(ogr.CreateGeometryFromWkt(row[1]))
            lyr.CreateFeature(feat)
            feat.Destroy()
        ds.Destroy()