float

All Samples(83353) | Call(82726) | Derive(626) | Import(1)

float(x) -> floating point number

Convert a string or number to a floating point number, if possible.

src/q/u/quickflash-HEAD/trunk/examples/expansion_correct/binreader.py quickflash(Download)

                    raise ValueError("Incompatible timestep descriptor")
 
                current_time = float(words[4])
 
                block_lines = list()

            for words in data_block :
 
                center_list.append(float(words[center_index]))
                center_align_list.append(float(words[center_align_index]))
                map_center_list.append(float(words[map_center_index]))
                map_center_align_list.append(float(words[map_center_align_index]))

src/q/u/quickflash-HEAD/rtflame/examples/expansion_correct/binreader.py quickflash(Download)

                    raise ValueError("Incompatible timestep descriptor")
 
                current_time = float(words[4])
 
                block_lines = list()

            for words in data_block :
 
                center_list.append(float(words[center_index]))
                center_align_list.append(float(words[center_align_index]))
                map_center_list.append(float(words[map_center_index]))
                map_center_align_list.append(float(words[map_center_align_index]))

src/q/u/quickflash-HEAD/netcdf/examples/expansion_correct/binreader.py quickflash(Download)

                    raise ValueError("Incompatible timestep descriptor")
 
                current_time = float(words[4])
 
                block_lines = list()

            for words in data_block :
 
                center_list.append(float(words[center_index]))
                center_align_list.append(float(words[center_align_index]))
                map_center_list.append(float(words[map_center_index]))
                map_center_align_list.append(float(words[map_center_align_index]))

src/q/u/quickflash-HEAD/branch_tags/octave-swig/QuickFlash-1.0.0-Octave-1.0/examples/mass_bins/read_bins.py quickflash(Download)

        if (self.__num_bins > 0) :
 
            ret_val = float(0.0)
 
            bin_masses = self.get_bin_masses(entry_index)

                    raise RuntimeError("MinValue requires a value")
 
                min_value = float(words[1])
 
            elif (keyword == "MaxValue") :
 
                if (num_words != 2) :
                    raise RuntimeError("MaxValue requires a value")
 
                max_value = float(words[1])

 
                for val_string in val_string_list :
                    bin_min_values.append(float(val_string))
 
            elif (keyword == "BinCenterValues") :

 
                for val_string in val_string_list :
                    bin_center_values.append(float(val_string))
 
            elif (keyword == "ComputeRadii") :

src/p/y/PyTPM-0.7.1/doc/examples/hip_convert.py PyTPM(Download)

    if cols[0].strip() == "":
        continue
    glon.append(float(cols[0]))
    glat.append(float(cols[1]))
    raj2000.append(float(cols[2]))
    dej2000.append(float(cols[3]))
    rab1950 = float(cols[4])

src/p/y/pylon-HEAD/examples/national_grid/ngt.py pylon(Download)

            assert len(name) == 4
 
            b = pylon.Bus(name, v_base=float(row[2]), b_shunt=float(row[5]))
            b._long_name = row[0]

 
    for row in load_reader:
        pf = float(row[2])
        Sd = float(row[3])
#        dg = float(row[5])

 
            if len(row[3]):
                node.b_shunt += float(row[3])
            elif len(row[4]):
                node.b_shunt -= float(row[4])

src/q/u/quickflash-HEAD/trunk/examples/flame_slicer/metadata_reader.py quickflash(Download)

                if (current_metadata.has_key("Time")) :
 
                    time = float(current_metadata["Time"])
                    datafile_group.add_keyword_value("Time", time)
 
                elif (current_metadata.has_key("Flame pos")) :
 
                    pos = float(current_metadata["Flame pos"])

 
                    for elem in min_coords_str :
                        min_coords.append(float(elem))
 
                    datafile_group.add_keyword_value("Grid_Min_Coords",

 
                    for elem in max_coords_str :
                        max_coords.append(float(elem))
 
                    datafile_group.add_keyword_value("Grid_Max_Coords",

 
                    for elem in center_coords_str :
                        center_coords.append(float(elem))
 
                    datafile_group.add_keyword_value("Grid_Center",

src/q/u/quickflash-HEAD/rtflame/examples/flame_slicer/metadata_reader.py quickflash(Download)

                if (current_metadata.has_key("Time")) :
 
                    time = float(current_metadata["Time"])
                    datafile_group.add_keyword_value("Time", time)
 
                elif (current_metadata.has_key("Flame pos")) :
 
                    pos = float(current_metadata["Flame pos"])

 
                    for elem in min_coords_str :
                        min_coords.append(float(elem))
 
                    datafile_group.add_keyword_value("Grid_Min_Coords",

 
                    for elem in max_coords_str :
                        max_coords.append(float(elem))
 
                    datafile_group.add_keyword_value("Grid_Max_Coords",

 
                    for elem in center_coords_str :
                        center_coords.append(float(elem))
 
                    datafile_group.add_keyword_value("Grid_Center",

src/q/u/quickflash-HEAD/netcdf/examples/flame_slicer/metadata_reader.py quickflash(Download)

                if (current_metadata.has_key("Time")) :
 
                    time = float(current_metadata["Time"])
                    datafile_group.add_keyword_value("Time", time)
 
                elif (current_metadata.has_key("Flame pos")) :
 
                    pos = float(current_metadata["Flame pos"])

 
                    for elem in min_coords_str :
                        min_coords.append(float(elem))
 
                    datafile_group.add_keyword_value("Grid_Min_Coords",

 
                    for elem in max_coords_str :
                        max_coords.append(float(elem))
 
                    datafile_group.add_keyword_value("Grid_Max_Coords",

 
                    for elem in center_coords_str :
                        center_coords.append(float(elem))
 
                    datafile_group.add_keyword_value("Grid_Center",

src/p/y/pysundials-HEAD/trunk/2.5.0/examples/cvodes/serial/cvskrydem_pre.py pysundials(Download)

AX = 1.0
AY = 1.0
DX = (AX/float(MX-1))
DY = (AY/float(MY-1))
MP = NS

	for j in range(NP):
		for i in range(NP):
			wdata.acoef[NP+i][j] = EE
			wdata.acoef[i][NP+j] = -GG
		wdata.acoef[j][j] = -AA

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