问题描述
嘿，我遇到这个索引错误，我尝试合成事件，但是我的索引从0而不是1开始，并且尝试做很多事情，例如尝试.append [i + 1]，但我无法解决此错误。
以下特定代码行显然存在问题：dset_IDX[offset:offset_next] = event_id[file_indices]
.py文件超过1000行代码，因此我无法全部显示它，因此我能够显示出给我错误的函数部分
def count_events(files):
# Because we want to remove events with 0 hits,# we need to count the events beforehand (to create the h5 file).
# This function counts and indexes the events with more than 0 hits.
# Files need to be iterated in the same order to use the indexes.
""" This is where we manually specify the file"""
num_events = 0
nonzero_file_events = []
for file_index,f in enumerate(files):
data = np.load(f,allow_pickle=True)
nonzero_file_events.append([])
hits = data['digi_hit_pmt']
for i in range(len(hits)):
if len(hits[i]) != 0:
nonzero_file_events[file_index].append(i)
num_events += 1
return num_events,nonzero_file_events
def GenMapping(csv_file):
mPMT_to_index = {}
with open(csv_file) as f:
rows = f.readline().split(",")[1:]
rows = [int(r.strip()) for r in rows]
for line in f:
line_split = line.split(",")
col = int(line_split[0].strip())
for row,value in zip(rows,line_split[1:]):
value = value.strip()
if value: # If the value is not empty
mPMT_to_index[int(value)] = [col,row]
npmap = np.zeros((max(mPMT_to_index) + 1,2),dtype=np.int)
for k,v in mPMT_to_index.items():
npmap[k] = v
return npmap
def GenerateMultiMuonSample_h5(avg_mu_per_ev=2.5,sigma_time_offset=21.2):
"""
Inputs:
avg_mu_per_ev == Poisson distribution mean for number of muons in each spill
sigma_time_offset == Width of spill (Gaussian) in nanoseconds
"""
files = ['event998.npz']
# Remove whitespace
files = [x.strip() for x in files]
# Check that files were provided
if len(files) == 0:
raise ValueError("No files provided!!")
print("Merging " + str(len(files)) + " files")
# Start merging
num_nonzero_events,nonzero_event_indexes = count_events(files)
print(num_nonzero_events)
# np.random.poisson( avg_mu_per_ev,number_of_throws )
num_muons = np.random.poisson(avg_mu_per_ev,num_nonzero_events - 2954)
# creates h5 file to generate the h5 file
dtype_events = np.dtype(np.float32)
dtype_labels = np.dtype(np.int32)
dtype_energies = np.dtype(np.float32)
dtype_positions = np.dtype(np.float32)
dtype_IDX = np.dtype(np.int32)
dtype_PATHS = h5py.special_dtype(vlen=str)
dtype_angles = np.dtype(np.float32)
# sets h5 file to be written
h5_file = h5py.File('multimuonfile(2).h5','w')
dset_event_data = h5_file.create_dataset("event_data",shape=(num_nonzero_events,) + IMAGE_SHAPE,dtype=dtype_events)
dset_labels = h5_file.create_dataset("labels",),dtype=dtype_labels)
dset_energies = h5_file.create_dataset("energies",1),dtype=dtype_energies)
dset_positions = h5_file.create_dataset("positions",1,3),dtype=dtype_positions)
dset_IDX = h5_file.create_dataset("event_ids",dtype=dtype_IDX)
dset_PATHS = h5_file.create_dataset("root_files",dtype=dtype_PATHS)
dset_angles = h5_file.create_dataset("angles",dtype=dtype_angles)
# 22 -> gamma,11 -> electron,13 -> muon
# corresponds to labelling used in CNN with only barrel
# IWCDmPMT_4pi_full_tank_gamma_E0to1000MeV_unif-pos-R371-y521cm_4pi-dir_3000evts_329.npz has an event
# with pid 11 though....
# pid_to_label = {22:0,11:1,13:2}
offset = 0
offset_next = 0
mPMT_to_index = GenMapping(PMT_LABELS)
# Loop over files
for file_index,filename in enumerate(files):
data = np.load(filename,allow_pickle=True)
nonzero_events_in_file = len(nonzero_event_indexes[file_index])
x_data = np.zeros((nonzero_events_in_file,dtype=dtype_events)
digi_hit_pmt = data['digi_hit_pmt']
# digi_hit_charge = data['digi_hit_charge']
# digi_hit_time = data['digi_hit_time']
# digi_hit_trigger = data['digi_hit_trigger']
# trigger_time = data['trigger_time']
delay = 0
# Loop over events in file
# Loop over number of muons in each event
event_id = np.array([],dtype=np.int32)
root_file = np.array([],dtype=np.str)
pid = np.array([])
position = np.array([])
direction = np.array([])
energy = np.array([])
labels = np.array([])
# with open("ResultFile.txt","w") as text_file:
# sys.stdout = open("Result2.txt","w")
for i,nmu in enumerate(num_muons):
# np.savetxt(text_file,i,nmu,fmt="%d")
# text_file.write("processing output entry " + str(i) + " with " + nmu + " muons")
print("processing output entry "," with "," muons")
indices = np.random.randint(0,len(digi_hit_pmt),max(1,nmu))
time_offs = [0.]
if nmu > 1:
time_offs = np.append(time_offs,np.random.normal(0.,sigma_time_offset,nmu - 1))
hit_pmts,charge,time = SumEvents(indices,time_offs,data,nmu == 0)
hit_mpmts = hit_pmts // 19
pmt_channels = hit_pmts % 19
rows = mPMT_to_index[hit_mpmts,0]
cols = mPMT_to_index[hit_mpmts,1]
x_data[i - delay,rows,cols,pmt_channels] = charge
x_data[i - delay,pmt_channels + 19] = time
# fix below!!!
idx0 = indices[0]
event_id = np.append(event_id,data['event_id'][idx0])
root_file = np.append(root_file,data['root_file'][idx0])
pid = np.append(pid,data['pid'][idx0])
position = np.append(position,data['position'][idx0])
direction = np.append(direction,data['direction'][idx0])
energy = np.append(energy,np.sum(data['energy'][indices]))
labels = np.append(labels,nmu)
offset_next += nonzero_events_in_file
file_indices = nonzero_event_indexes[file_index]
dset_IDX[offset:offset_next] = event_id[file_indices]
dset_PATHS[offset:offset_next] = root_file[file_indices]
dset_energies[offset:offset_next,:] = energy[file_indices].reshape(-1,1)
dset_positions[offset:offset_next,:,:] = position[file_indices].reshape(-1,3)
dset_labels[offset:offset_next] = labels[file_indices]
print(event_id)
direction = direction[file_indices]
polar = np.arccos(direction[:,1])
azimuth = np.arctan2(direction[:,2],direction[:,0])
dset_angles[offset:offset_next,:] = np.hstack((polar.reshape(-1,azimuth.reshape(-1,1)))
dset_event_data[offset:offset_next,:] = x_data
offset = offset_next
print("Finished file: {}".format(filename))
#sys.stdout.close()
print("Saving")
#h5_file.close()
print("Finished")
# In[ ]:
GenerateMultiMuonSample_h5(avg_mu_per_ev=2.5,sigma_time_offset=21.2)
追踪
Merging 1 files
2958
processing output entry 0 with 3 muons
processing output entry 1 with 1 muons
processing output entry 2 with 3 muons
processing output entry 3 with 3 muons
Traceback (most recent call last):
File "C:/Users/abdul/OneDrive/Desktop/Issp/Issp-AA/TriumfCNN-AA/Eventdisplay.py",line 1068,in <module>
GenerateMultiMuonSample_h5(avg_mu_per_ev=2.5,sigma_time_offset=21.2)
File "C:/Users/abdul/OneDrive/Desktop/Issp/Issp-AA/TriumfCNN-AA/Eventdisplay.py",line 1044,in GenerateMultiMuonSample_h5
dset_IDX[offset:offset_next] = event_id[file_indices]
IndexError: index 4 is out of bounds for axis 0 with size 4
解决方法
没有提供太多信息，但是我已经了解了， 该错误表明轴0的大小为4，并且您尝试访问索引4，而大小4则不可能，因为它以0开头，最大索引可能为3。