我想创建一个函数，它接受一个数据文件和一个字典，其中每个值都是nympy nan的（???，12）矩阵，并返回带有数据文件值的字典。并非该文件中的所有数据都应该进入字典。
我设法获得所有正确的数据并将其放入第一个矩阵，事情是每个矩阵都是第一个的副本！我不明白为什么会这样，因为我会逐行获取所有数据点。
def read_temperature_dict(datfile, tempdictionary):
''''something'''
dat = open(datfile)
for key in tempdictionary:
for line in dat.readlines():
ID = line[:11]
lineyear = line[11:15]
lineyear = int(lineyear)
try:
indexlineyear = year_to_index(lineyear)
except:
continue
jan = line[19:24]
feb = line[27:32]
mar = line[35:40]
apr = line[43:48]
may = line[51:56]
jun = line[59:64]
jul = line[67:72]
aug = line[75:80]
sep = line[83:88]
oct = line[91:96]
nov = line[99:104]
dec = line[107:112]
months = [jan, feb, mar, apr, may, jun, jul, aug, sep, oct, nov, dec]
count = 0
for temp in months:
newtemp = float(temp)
if count <= 12:
if newtemp == -9999:
count += 1
continue
else:
newtemp = newtemp / 100.0
tempdictionary[ID][indexlineyear, count] = newtemp
count += 1
dat.close()
return tempdictionary
所以，如果我写：
mydicttwo = read_temperature_dict('ghcnm.tavg.v3.3.0.20151011.qca_test.dat', mydict)
for key in mydicttwo:
print key, mydicttwo[key]
结果是两个相同的键：
20558362000 [[ 2.56 4.86 8.46 ..., 18.46 12.36 7.16] [ 5.26 1.76 8.26 ..., 18.66 11.26 5.96] [ 6.66 5.66 11.06 ..., 18.36 14.16 7.46] ..., [ 2.2 2. 6.3 ..., 17.6 9.9 5.6 ] [ 2.9 3.1 6.3 ..., 15.8 11.2 4.2 ] [ 3.4 4.1 6.3 ..., nan nan nan]]
21047600000 [[ 2.56 4.86 8.46 ..., 18.46 12.36 7.16] [ 5.26 1.76 8.26 ..., 18.66 11.26 5.96] [ 6.66 5.66 11.06 ..., 18.36 14.16 7.46] ..., [ 2.2 2. 6.3 ..., 17.6 9.9 5.6 ] [ 2.9 3.1 6.3 ..., 15.8 11.2 4.2 ] [ 3.4 4.1 6.3 ..., nan nan nan]]