示例#1
0
文件: kml_utils.py 项目: JackXue/ADCP
def make_KML_average_columns(averages_dict):
    kml = KML()
    aves = {}
    for point, bucket in averages_dict.items():
        aves[point] = {"vel": [], "azm": []}
        vel = Mean() + point.velocity
        azm = Mean() + point.azimuth
        for en in ens:
            vel += en.velocity
            azm += en.azimuth
        aves[point]["vel"] = vel
        aves[point]["azm"] = azm
    
    f = open("../data/column_averages.xml",'w')
    f.write("latitude, longitude, velocity_mean, v_std, v_n, azimuth_mean, a_std, a_n\n")
    mkstr = lambda x: ("%s" % x).replace(", ","<br/>").replace("=",": ")
    for point, ave in aves.items():
        vel = ave["vel"]
        azm = ave["azm"]
        text = "<h2>Velocity:</h2><p>%s</p>" % mkstr(vel)
        text += "<h2>Azimuth:</h2><p>%s</p>" % mkstr(azm)
        desc = description_from_text(text)
        pt = Placemark(int(azm), point.point, desc)
        kml.addPlacemark(pt)
        line = list(point.point)
        line.append(vel())
        line.append(azm())
        f.write(",".join(line) + "\n")
    f.close()

    kml.output("../data/column_averages.kml")
示例#2
0
文件: kml_utils.py 项目: JackXue/ADCP
def make_KML_average_columns(averages_dict):
    kml = KML()
    aves = {}
    for point, bucket in averages_dict.items():
        aves[point] = {"vel": [], "azm": []}
        vel = Mean() + point.velocity
        azm = Mean() + point.azimuth
        for en in ens:
            vel += en.velocity
            azm += en.azimuth
        aves[point]["vel"] = vel
        aves[point]["azm"] = azm

    f = open("../data/column_averages.xml", 'w')
    f.write(
        "latitude, longitude, velocity_mean, v_std, v_n, azimuth_mean, a_std, a_n\n"
    )
    mkstr = lambda x: ("%s" % x).replace(", ", "<br/>").replace("=", ": ")
    for point, ave in aves.items():
        vel = ave["vel"]
        azm = ave["azm"]
        text = "<h2>Velocity:</h2><p>%s</p>" % mkstr(vel)
        text += "<h2>Azimuth:</h2><p>%s</p>" % mkstr(azm)
        desc = description_from_text(text)
        pt = Placemark(int(azm), point.point, desc)
        kml.addPlacemark(pt)
        line = list(point.point)
        line.append(vel())
        line.append(azm())
        f.write(",".join(line) + "\n")
    f.close()

    kml.output("../data/column_averages.kml")
示例#3
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文件: utils.py 项目: JackXue/ADCP
def outputData(name, collection, atDepth=None):
    kml = KML(name)
    file = open("../data/%s.csv" % name.replace(" ", "_"), "w")
    file.write(
        "number, latitude, longitude, v_mean, v_dev, v_n, v_err, v_min, v_max, a_mean, a_dev, a_n, a_err, a_min, a_max, d_mean, d_dev, d_n, d_err, d_min, d_max\n"
    )
    for lst in collection.values():
        for col in lst:
            col.calcAverages()
            point = col.point
            if atDepth:
                velocity, azimuth = col.averageAtDepth(atDepth)
            else:
                velocity, azimuth = col.velocity, col.azimuth
            name = int(degrees(azimuth))  # Cast to a Python int b/c MeanAzimuth has a long string representation
            depth = col.depth
            style = int(velocity)
            if style == 0:
                style = "O"
            elif (name < 0) or (style < 0):
                style = "red-diamond"
                name = ""
            PL = Placemark(name, point, velocity, azimuth, depth, style)
            kml.addPlacemark(PL)
            file.write("%i, %f, %f," % (PL.id, point[0], point[1]))
            for val in [velocity, azimuth, depth]:
                for v in val():
                    file.write(" %0.3f," % v)
            file.write("\n")
    # Kludge to zero out the ID number, so that we have a new zero point for each depth.
    PL.zero()
    kml.output()
    file.close()
示例#4
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def outputData(name, collection, atDepth=None):
    kml = KML(name)
    file = open("../data/%s.csv" % name.replace(" ", "_"), "w")
    file.write(
        "number, latitude, longitude, v_mean, v_dev, v_n, v_err, v_min, v_max, a_mean, a_dev, a_n, a_err, a_min, a_max, d_mean, d_dev, d_n, d_err, d_min, d_max\n"
    )
    for lst in collection.values():
        for col in lst:
            col.calcAverages()
            point = col.point
            if atDepth:
                velocity, azimuth = col.averageAtDepth(atDepth)
            else:
                velocity, azimuth = col.velocity, col.azimuth
            name = int(
                degrees(azimuth)
            )  # Cast to a Python int b/c MeanAzimuth has a long string representation
            depth = col.depth
            style = int(velocity)
            if style == 0: style = "O"
            elif ((name < 0) or (style < 0)):
                style = "red-diamond"
                name = ""
            PL = Placemark(name, point, velocity, azimuth, depth, style)
            kml.addPlacemark(PL)
            file.write("%i, %f, %f," % (PL.id, point[0], point[1]))
            for val in [velocity, azimuth, depth]:
                for v in val():
                    file.write(" %0.3f," % v)
            file.write("\n")
    # Kludge to zero out the ID number, so that we have a new zero point for each depth.
    PL.zero()
    kml.output()
    file.close()
示例#5
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文件: kml_utils.py 项目: JackXue/ADCP
def make_KML_from_ensemble_list(ensemble_list, designator=None):
    kml = KML()
    for en in ensemble_list:
        kml.addPlacemark(make_Placemark(ensemble))
    des = str(designator) if designator else ""
    kml.output("../data/transects%s.kml" % des)
示例#6
0
文件: kml_utils.py 项目: JackXue/ADCP
def make_KML_from_ensemble_list(ensemble_list, designator=None):
    kml = KML()
    for en in ensemble_list:
        kml.addPlacemark(make_Placemark(ensemble))
    des = str(designator) if designator else ""
    kml.output("../data/transects%s.kml" % des)