您好我想要将文件的内容(在本例中为Landsat 7元数据文件)转换为使用Python 2.7由文件内容定义的一系列变量。文件内容如下所示:
GROUP = L1_METADATA_FILE
GROUP = METADATA_FILE_INFO
ORIGIN = "Image courtesy of the U.S. Geological Survey"
REQUEST_ID = "0101305309253_00043"
LANDSAT_SCENE_ID = "LE71460402010069SGS00"
FILE_DATE = 2013-06-02T11:19:59Z
STATION_ID = "SGS"
PROCESSING_SOFTWARE_VERSION = "LPGS_12.2.1"
DATA_CATEGORY = "NOMINAL"
END_GROUP = METADATA_FILE_INFO
GROUP = PRODUCT_METADATA
DATA_TYPE = "L1T"
ELEVATION_SOURCE = "GLS2000"
OUTPUT_FORMAT = "GEOTIFF"
EPHEMERIS_TYPE = "DEFINITIVE"
SPACECRAFT_ID = "LANDSAT_7"
SENSOR_ID = "ETM"
SENSOR_MODE = "BUMPER"
WRS_PATH = 146
WRS_ROW = 040
DATE_ACQUIRED = 2010-03-10
GROUP = IMAGE_ATTRIBUTES
CLOUD_COVER = 0.00
IMAGE_QUALITY = 9
SUN_AZIMUTH = 137.38394502
SUN_ELEVATION = 48.01114126
GROUND_CONTROL_POINTS_MODEL = 55
GEOMETRIC_RMSE_MODEL = 3.790
GEOMETRIC_RMSE_MODEL_Y = 2.776
GEOMETRIC_RMSE_MODEL_X = 2.580
END_GROUP = IMAGE_ATTRIBUTES
Example of interested variable items:
GROUP = MIN_MAX_RADIANCE
RADIANCE_MAXIMUM_BAND_1 = 293.700
RADIANCE_MINIMUM_BAND_1 = -6.200
RADIANCE_MAXIMUM_BAND_2 = 300.900
RADIANCE_MINIMUM_BAND_2 = -6.400
RADIANCE_MAXIMUM_BAND_3 = 234.400
RADIANCE_MINIMUM_BAND_3 = -5.000
RADIANCE_MAXIMUM_BAND_4 = 241.100
RADIANCE_MINIMUM_BAND_4 = -5.100
RADIANCE_MAXIMUM_BAND_5 = 47.570
RADIANCE_MINIMUM_BAND_5 = -1.000
RADIANCE_MAXIMUM_BAND_6_VCID_1 = 17.040
RADIANCE_MINIMUM_BAND_6_VCID_1 = 0.000
RADIANCE_MAXIMUM_BAND_6_VCID_2 = 12.650
RADIANCE_MINIMUM_BAND_6_VCID_2 = 3.200
RADIANCE_MAXIMUM_BAND_7 = 16.540
RADIANCE_MINIMUM_BAND_7 = -0.350
RADIANCE_MAXIMUM_BAND_8 = 243.100
RADIANCE_MINIMUM_BAND_8 = -4.700
END_GROUP = MIN_MAX_RADIANCE
我对其他想法持开放态度,因为我不需要所有条目作为变量,只需要选择。我看到一些标题不止一次列出。即GROUP多次使用。我需要能够选择某些变量(整数值)并在其他代码区域的公式中使用。任何帮助将不胜感激(新手python编码器)。
答案 0 :(得分:0)
我不确定你在找什么,但也许是这样的:
s = '''GROUP = L1_METADATA_FILE
GROUP = METADATA_FILE_INFO
ORIGIN = "Image courtesy of the U.S. Geological Survey"
REQUEST_ID = "0101305309253_00043"
LANDSAT_SCENE_ID = "LE71460402010069SGS00"
FILE_DATE = 2013-06-02T11:19:59Z
STATION_ID = "SGS"
PROCESSING_SOFTWARE_VERSION = "LPGS_12.2.1"
DATA_CATEGORY = "NOMINAL"
END_GROUP = METADATA_FILE_INFO
GROUP = PRODUCT_METADATA
DATA_TYPE = "L1T"
ELEVATION_SOURCE = "GLS2000"
OUTPUT_FORMAT = "GEOTIFF"
EPHEMERIS_TYPE = "DEFINITIVE"
SPACECRAFT_ID = "LANDSAT_7"
SENSOR_ID = "ETM"
SENSOR_MODE = "BUMPER"
WRS_PATH = 146
WRS_ROW = 040
DATE_ACQUIRED = 2010-03-10'''
output = {} #Dict
for line in s.split("\n"): #Iterates through every line in the string
l = line.split("=") #Seperate by "=" and put into a list
output[l[0].strip()] = l[1].strip() #First word is key, second word is value
print output #Output is a dictonary containing all key-value pairs in your metadata seperated by "="
print output["SENSOR_ID"] #Outputs "ETM"
==============
编辑:
f = open('metadata.txt', 'r') #open file for reading
def build_data(f): #build dictionary
output = {} #Dict
for line in f.readlines(): #Iterates through every line in the string
if "=" in line: #make sure line has data as wanted
l = line.split("=") #Seperate by "=" and put into a list
output[l[0].strip()] = l[1].strip() #First word is key, second word is value
return output #Returns a dictionary with the key, value pairs.
data = build_data(f)
print data["IMAGE_QUALITY"] #prints 9