向HDF5文件中添加新数据会导致一个空数组 [英] Adding new data into HDF5 file results an empty array
问题描述
在使用适用于Python的HDF5软件包时,我发现了一个奇怪的行为.我想在表中插入更多数据.但是不知何故我无法使其正常工作.正如您从源代码中看到的那样,我正在使用 fromRow = hf ["X"].shape [0]
获取键'X'中的最后一行数据,并编写了 tempArray2
之后.结果是一个空表.
While playing with HDF5 package for Python I discovered a strange behavior. I want to insert more data into table. But somehow I cannot get it work properly. As you can see from the source code, I am getting the last row of data in key 'X' using fromRow = hf["X"].shape[0]
and writing the tempArray2
afterwards. Result is an empty table.
import h5py
tempArray1 = [[0.9293237924575806, -0.32789671421051025, 0.18110771477222443], [0.9293237924575806, -0.32789671421051025, 0.18110771477222443], [0.9293237924575806, -0.32789671421051025, 0.18110771477222443], [0.9293237924575806, -0.32789671421051025, 0.18110771477222443], [0.9293237924575806, -0.32789671421051025, 0.18110771477222443], [0.9293237924575806, -0.32789671421051025, 0.18110771477222443], [0.9293237924575806, -0.32789671421051025, 0.18110771477222443], [0.9293237924575806, -0.32789671421051025, 0.18110771477222443], [0.9293237924575806, -0.32789671421051025, 0.18110771477222443], [0.9293237924575806, -0.32789671421051025, 0.18110771477222443]]
tempArray2 = [[3.1387749004352372e-06, 8.120089097236803e+27, -1.645612730013634e-14], [3.1387749004352372e-06, 8.120089097236803e+27, -1.645612730013634e-14], [3.1387749004352372e-06, 8.120089097236803e+27, -1.645612730013634e-14], [3.1387749004352372e-06, 8.120089097236803e+27, -1.645612730013634e-14], [3.1387749004352372e-06, 8.120089097236803e+27, -1.645612730013634e-14], [3.1387749004352372e-06, 8.120089097236803e+27, -1.645612730013634e-14], [3.1387749004352372e-06, 8.120089097236803e+27, -1.645612730013634e-14], [3.1387749004352372e-06, 8.120089097236803e+27, -1.645612730013634e-14], [3.1387749004352372e-06, 8.120089097236803e+27, -1.645612730013634e-14], [3.1387749004352372e-06, 8.120089097236803e+27, -1.645612730013634e-14]]
with h5py.File('data.hdf5', 'w') as hf:
# Add data to new file
dset = hf.create_dataset("X", data=tempArray1, compression="gzip", chunks=True, maxshape=(None,3), dtype='f4') # Size is as the size of tempArray1
print(hf["X"].shape[0])
# Append data existing file
hf["X"].resize((hf["X"].shape[0] + 10, 3)) # Size is as the size of X+ 10
print(hf["X"].shape[0])
fromRow = hf["X"].shape[0]
hf["X"][fromRow:] = tempArray2
这是它的外观:
Key: X
Data:
[[ 0.9293238 -0.3278967 0.18110771]
[ 0.9293238 -0.3278967 0.18110771]
[ 0.9293238 -0.3278967 0.18110771]
[ 0.9293238 -0.3278967 0.18110771]
[ 0.9293238 -0.3278967 0.18110771]
[ 0.9293238 -0.3278967 0.18110771]
[ 0.9293238 -0.3278967 0.18110771]
[ 0.9293238 -0.3278967 0.18110771]
[ 0.9293238 -0.3278967 0.18110771]
[ 0.9293238 -0.3278967 0.18110771]
[ 0. 0. 0. ]
[ 0. 0. 0. ]
[ 0. 0. 0. ]
[ 0. 0. 0. ]
[ 0. 0. 0. ]
[ 0. 0. 0. ]
[ 0. 0. 0. ]
[ 0. 0. 0. ]
[ 0. 0. 0. ]
[ 0. 0. 0. ]]
Length of data: 20
当我用数字10替换 fromRow
的值(如 fromRow = 10
,它代表现有表的末尾)时,就足够了.
Strangely enough when I replace the value fromRow
with number 10 like fromRow = 10
, which represents the end of the existing table, it works.
输出:
Key: X
Data:
[[ 9.2932379e-01 -3.2789671e-01 1.8110771e-01]
[ 9.2932379e-01 -3.2789671e-01 1.8110771e-01]
[ 9.2932379e-01 -3.2789671e-01 1.8110771e-01]
[ 9.2932379e-01 -3.2789671e-01 1.8110771e-01]
[ 9.2932379e-01 -3.2789671e-01 1.8110771e-01]
[ 9.2932379e-01 -3.2789671e-01 1.8110771e-01]
[ 9.2932379e-01 -3.2789671e-01 1.8110771e-01]
[ 9.2932379e-01 -3.2789671e-01 1.8110771e-01]
[ 9.2932379e-01 -3.2789671e-01 1.8110771e-01]
[ 9.2932379e-01 -3.2789671e-01 1.8110771e-01]
[ 3.1387749e-06 8.1200891e+27 -1.6456127e-14]
[ 3.1387749e-06 8.1200891e+27 -1.6456127e-14]
[ 3.1387749e-06 8.1200891e+27 -1.6456127e-14]
[ 3.1387749e-06 8.1200891e+27 -1.6456127e-14]
[ 3.1387749e-06 8.1200891e+27 -1.6456127e-14]
[ 3.1387749e-06 8.1200891e+27 -1.6456127e-14]
[ 3.1387749e-06 8.1200891e+27 -1.6456127e-14]
[ 3.1387749e-06 8.1200891e+27 -1.6456127e-14]
[ 3.1387749e-06 8.1200891e+27 -1.6456127e-14]
[ 3.1387749e-06 8.1200891e+27 -1.6456127e-14]]
Length of data: 20
知道我在做什么错吗?
推荐答案
在调整X数据集的大小之后,您将获得 fromRow
.在调整大小之前,您需要该值.参见下面的代码.
You are getting fromRow
AFTER you resize the X dataset. You need the value BEFORE your resize. See code below.
with h5py.File('data.hdf5', 'w') as hf:
# Add data to new file
dset = hf.create_dataset("X", data=tempArray1, compression="gzip", chunks=True, maxshape=(None,3), dtype='f4') # Size is as the size of tempArray1
print(hf["X"].shape[0])
# new location to get fromRow:
fromRow = hf["X"].shape[0]
# Append data existing file
hf["X"].resize((hf["X"].shape[0] + 10, 3)) # Size is as the size of X+ 10
print(hf["X"].shape[0])
hf["X"][fromRow:] = tempArray2
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