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"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Add Blg_Attributes\n",
"\n",
"第一次处理的时候没有按之前的储存方法读 blg 的细节，这里改一下 h5 里面的 dataset。\n",
"\n",
"最开始存的是 metadata，现在要加一个名为 \"Blg_Attributes\" 的 dataset。"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"文件: blg_F10_30m_IM6_st0.h5, Blg_Attributes: {'IM': tensor([0]), 'height': tensor([30.]), 'stories': tensor([10]), 'struct_type': tensor([0])}\n",
"文件: blg_F10_30m_IM6_st1.h5, Blg_Attributes: {'IM': tensor([0]), 'height': tensor([30.]), 'stories': tensor([10]), 'struct_type': tensor([1])}\n",
"文件: blg_F10_30m_IM7_st0.h5, Blg_Attributes: {'IM': tensor([1]), 'height': tensor([30.]), 'stories': tensor([10]), 'struct_type': tensor([0])}\n",
"文件: blg_F10_30m_IM7_st1.h5, Blg_Attributes: {'IM': tensor([1]), 'height': tensor([30.]), 'stories': tensor([10]), 'struct_type': tensor([1])}\n",
"文件: blg_F10_30m_IM8_st0.h5, Blg_Attributes: {'IM': tensor([2]), 'height': tensor([30.]), 'stories': tensor([10]), 'struct_type': tensor([0])}\n",
"文件: blg_F10_30m_IM8_st1.h5, Blg_Attributes: {'IM': tensor([2]), 'height': tensor([30.]), 'stories': tensor([10]), 'struct_type': tensor([1])}\n",
"文件: blg_F11_33m_IM6_st1.h5, Blg_Attributes: {'IM': tensor([0]), 'height': tensor([33.]), 'stories': tensor([11]), 'struct_type': tensor([1])}\n",
"文件: blg_F11_33m_IM7_st1.h5, Blg_Attributes: {'IM': tensor([1]), 'height': tensor([33.]), 'stories': tensor([11]), 'struct_type': tensor([1])}\n",
"文件: blg_F11_33m_IM8_st1.h5, Blg_Attributes: {'IM': tensor([2]), 'height': tensor([33.]), 'stories': tensor([11]), 'struct_type': tensor([1])}\n",
"文件: blg_F12_36m_IM6_st1.h5, Blg_Attributes: {'IM': tensor([0]), 'height': tensor([36.]), 'stories': tensor([12]), 'struct_type': tensor([1])}\n",
"文件: blg_F12_36m_IM7_st1.h5, Blg_Attributes: {'IM': tensor([1]), 'height': tensor([36.]), 'stories': tensor([12]), 'struct_type': tensor([1])}\n",
"文件: blg_F12_36m_IM8_st1.h5, Blg_Attributes: {'IM': tensor([2]), 'height': tensor([36.]), 'stories': tensor([12]), 'struct_type': tensor([1])}\n",
"文件: blg_F13_39m_IM6_st1.h5, Blg_Attributes: {'IM': tensor([0]), 'height': tensor([39.]), 'stories': tensor([13]), 'struct_type': tensor([1])}\n",
"文件: blg_F13_39m_IM7_st1.h5, Blg_Attributes: {'IM': tensor([1]), 'height': tensor([39.]), 'stories': tensor([13]), 'struct_type': tensor([1])}\n",
"文件: blg_F13_39m_IM8_st1.h5, Blg_Attributes: {'IM': tensor([2]), 'height': tensor([39.]), 'stories': tensor([13]), 'struct_type': tensor([1])}\n",
"文件: blg_F14_42m_IM6_st1.h5, Blg_Attributes: {'IM': tensor([0]), 'height': tensor([42.]), 'stories': tensor([14]), 'struct_type': tensor([1])}\n",
"文件: blg_F14_42m_IM7_st1.h5, Blg_Attributes: {'IM': tensor([1]), 'height': tensor([42.]), 'stories': tensor([14]), 'struct_type': tensor([1])}\n",
"文件: blg_F14_42m_IM8_st1.h5, Blg_Attributes: {'IM': tensor([2]), 'height': tensor([42.]), 'stories': tensor([14]), 'struct_type': tensor([1])}\n",
"文件: blg_F15_45m_IM6_st1.h5, Blg_Attributes: {'IM': tensor([0]), 'height': tensor([45.]), 'stories': tensor([15]), 'struct_type': tensor([1])}\n",
"文件: blg_F15_45m_IM7_st1.h5, Blg_Attributes: {'IM': tensor([1]), 'height': tensor([45.]), 'stories': tensor([15]), 'struct_type': tensor([1])}\n",
"文件: blg_F15_45m_IM8_st1.h5, Blg_Attributes: {'IM': tensor([2]), 'height': tensor([45.]), 'stories': tensor([15]), 'struct_type': tensor([1])}\n",
"文件: blg_F16_48m_IM6_st1.h5, Blg_Attributes: {'IM': tensor([0]), 'height': tensor([48.]), 'stories': tensor([16]), 'struct_type': tensor([1])}\n",
"文件: blg_F16_48m_IM7_st1.h5, Blg_Attributes: {'IM': tensor([1]), 'height': tensor([48.]), 'stories': tensor([16]), 'struct_type': tensor([1])}\n",
"文件: blg_F16_48m_IM8_st1.h5, Blg_Attributes: {'IM': tensor([2]), 'height': tensor([48.]), 'stories': tensor([16]), 'struct_type': tensor([1])}\n",
"文件: blg_F17_51m_IM6_st1.h5, Blg_Attributes: {'IM': tensor([0]), 'height': tensor([51.]), 'stories': tensor([17]), 'struct_type': tensor([1])}\n",
"文件: blg_F17_51m_IM7_st1.h5, Blg_Attributes: {'IM': tensor([1]), 'height': tensor([51.]), 'stories': tensor([17]), 'struct_type': tensor([1])}\n",
"文件: blg_F17_51m_IM8_st1.h5, Blg_Attributes: {'IM': tensor([2]), 'height': tensor([51.]), 'stories': tensor([17]), 'struct_type': tensor([1])}\n",
"文件: blg_F1_3m_IM6_st0.h5, Blg_Attributes: {'IM': tensor([0]), 'height': tensor([3.]), 'stories': tensor([1]), 'struct_type': tensor([0])}\n",
"文件: blg_F1_3m_IM7_st0.h5, Blg_Attributes: {'IM': tensor([1]), 'height': tensor([3.]), 'stories': tensor([1]), 'struct_type': tensor([0])}\n",
"文件: blg_F1_3m_IM8_st0.h5, Blg_Attributes: {'IM': tensor([2]), 'height': tensor([3.]), 'stories': tensor([1]), 'struct_type': tensor([0])}\n",
"文件: blg_F2_6m_IM6_st0.h5, Blg_Attributes: {'IM': tensor([0]), 'height': tensor([6.]), 'stories': tensor([2]), 'struct_type': tensor([0])}\n",
"文件: blg_F2_6m_IM7_st0.h5, Blg_Attributes: {'IM': tensor([1]), 'height': tensor([6.]), 'stories': tensor([2]), 'struct_type': tensor([0])}\n",
"文件: blg_F2_6m_IM8_st0.h5, Blg_Attributes: {'IM': tensor([2]), 'height': tensor([6.]), 'stories': tensor([2]), 'struct_type': tensor([0])}\n",
"文件: blg_F3_9m_IM6_st0.h5, Blg_Attributes: {'IM': tensor([0]), 'height': tensor([9.]), 'stories': tensor([3]), 'struct_type': tensor([0])}\n",
"文件: blg_F3_9m_IM7_st0.h5, Blg_Attributes: {'IM': tensor([1]), 'height': tensor([9.]), 'stories': tensor([3]), 'struct_type': tensor([0])}\n",
"文件: blg_F3_9m_IM8_st0.h5, Blg_Attributes: {'IM': tensor([2]), 'height': tensor([9.]), 'stories': tensor([3]), 'struct_type': tensor([0])}\n",
"文件: blg_F4_12m_IM6_st0.h5, Blg_Attributes: {'IM': tensor([0]), 'height': tensor([12.]), 'stories': tensor([4]), 'struct_type': tensor([0])}\n",
"文件: blg_F4_12m_IM7_st0.h5, Blg_Attributes: {'IM': tensor([1]), 'height': tensor([12.]), 'stories': tensor([4]), 'struct_type': tensor([0])}\n",
"文件: blg_F4_12m_IM8_st0.h5, Blg_Attributes: {'IM': tensor([2]), 'height': tensor([12.]), 'stories': tensor([4]), 'struct_type': tensor([0])}\n",
"文件: blg_F5_15m_IM6_st0.h5, Blg_Attributes: {'IM': tensor([0]), 'height': tensor([15.]), 'stories': tensor([5]), 'struct_type': tensor([0])}\n",
"文件: blg_F5_15m_IM7_st0.h5, Blg_Attributes: {'IM': tensor([1]), 'height': tensor([15.]), 'stories': tensor([5]), 'struct_type': tensor([0])}\n",
"文件: blg_F5_15m_IM8_st0.h5, Blg_Attributes: {'IM': tensor([2]), 'height': tensor([15.]), 'stories': tensor([5]), 'struct_type': tensor([0])}\n",
"文件: blg_F6_18m_IM6_st0.h5, Blg_Attributes: {'IM': tensor([0]), 'height': tensor([18.]), 'stories': tensor([6]), 'struct_type': tensor([0])}\n",
"文件: blg_F6_18m_IM7_st0.h5, Blg_Attributes: {'IM': tensor([1]), 'height': tensor([18.]), 'stories': tensor([6]), 'struct_type': tensor([0])}\n",
"文件: blg_F6_18m_IM8_st0.h5, Blg_Attributes: {'IM': tensor([2]), 'height': tensor([18.]), 'stories': tensor([6]), 'struct_type': tensor([0])}\n",
"文件: blg_F7_21m_IM6_st0.h5, Blg_Attributes: {'IM': tensor([0]), 'height': tensor([21.]), 'stories': tensor([7]), 'struct_type': tensor([0])}\n",
"文件: blg_F7_21m_IM7_st0.h5, Blg_Attributes: {'IM': tensor([1]), 'height': tensor([21.]), 'stories': tensor([7]), 'struct_type': tensor([0])}\n",
"文件: blg_F7_21m_IM8_st0.h5, Blg_Attributes: {'IM': tensor([2]), 'height': tensor([21.]), 'stories': tensor([7]), 'struct_type': tensor([0])}\n",
"文件: blg_F8_24m_IM6_st0.h5, Blg_Attributes: {'IM': tensor([0]), 'height': tensor([24.]), 'stories': tensor([8]), 'struct_type': tensor([0])}\n",
"文件: blg_F8_24m_IM6_st1.h5, Blg_Attributes: {'IM': tensor([0]), 'height': tensor([24.]), 'stories': tensor([8]), 'struct_type': tensor([1])}\n",
"文件: blg_F8_24m_IM7_st0.h5, Blg_Attributes: {'IM': tensor([1]), 'height': tensor([24.]), 'stories': tensor([8]), 'struct_type': tensor([0])}\n",
"文件: blg_F8_24m_IM7_st1.h5, Blg_Attributes: {'IM': tensor([1]), 'height': tensor([24.]), 'stories': tensor([8]), 'struct_type': tensor([1])}\n",
"文件: blg_F8_24m_IM8_st0.h5, Blg_Attributes: {'IM': tensor([2]), 'height': tensor([24.]), 'stories': tensor([8]), 'struct_type': tensor([0])}\n",
"文件: blg_F8_24m_IM8_st1.h5, Blg_Attributes: {'IM': tensor([2]), 'height': tensor([24.]), 'stories': tensor([8]), 'struct_type': tensor([1])}\n",
"文件: blg_F9_27m_IM6_st0.h5, Blg_Attributes: {'IM': tensor([0]), 'height': tensor([27.]), 'stories': tensor([9]), 'struct_type': tensor([0])}\n",
"文件: blg_F9_27m_IM6_st1.h5, Blg_Attributes: {'IM': tensor([0]), 'height': tensor([27.]), 'stories': tensor([9]), 'struct_type': tensor([1])}\n",
"文件: blg_F9_27m_IM7_st0.h5, Blg_Attributes: {'IM': tensor([1]), 'height': tensor([27.]), 'stories': tensor([9]), 'struct_type': tensor([0])}\n",
"文件: blg_F9_27m_IM7_st1.h5, Blg_Attributes: {'IM': tensor([1]), 'height': tensor([27.]), 'stories': tensor([9]), 'struct_type': tensor([1])}\n",
"文件: blg_F9_27m_IM8_st0.h5, Blg_Attributes: {'IM': tensor([2]), 'height': tensor([27.]), 'stories': tensor([9]), 'struct_type': tensor([0])}\n",
"文件: blg_F9_27m_IM8_st1.h5, Blg_Attributes: {'IM': tensor([2]), 'height': tensor([27.]), 'stories': tensor([9]), 'struct_type': tensor([1])}\n"
]
}
],
"source": [
"import os\n",
"import h5py\n",
"import numpy as np\n",
"import torch\n",
"\n",
"def create_blg_attributes(directory):\n",
" for filename in os.listdir(directory):\n",
" if filename.endswith('.h5'):\n",
" filepath = os.path.join(directory, filename)\n",
" try:\n",
" with h5py.File(filepath, 'a') as h5file: # 使用 'a' 模式以便写入\n",
" # 检查文件中是否存在 'metadata' 数据集\n",
" if 'Metadata' in h5file:\n",
" metadata = h5file['Metadata'][:]\n",
"\n",
" # 将 IM 的值从 6, 7, 8 映射到 0, 1, 2\n",
" im_mapping = {6: 0, 7: 1, 8: 2}\n",
" im_value = im_mapping.get(metadata[2], -1) # 如果未找到映射则返回 -1\n",
"\n",
" # 创建 Blg_Attributes 数据集\n",
" blg_attributes = {\n",
" 'stories': np.array([metadata[0]], dtype=np.int64),\n",
" 'height': np.array([metadata[1]], dtype=np.float32),\n",
" 'IM': np.array([im_value], dtype=np.int64), # 将 IM 改为 int64 类型\n",
" 'struct_type': np.array([metadata[3]], dtype=np.int64)\n",
" }\n",
"\n",
" # 检查 Blg_Attributes 组是否存在，如果存在则删除\n",
" if 'Blg_Attributes' in h5file:\n",
" del h5file['Blg_Attributes']\n",
"\n",
" # 创建 Blg_Attributes 数据集组\n",
" blg_group = h5file.create_group('Blg_Attributes')\n",
"\n",
" # 将字典中的数据集写入 Blg_Attributes 组\n",
" for key, value in blg_attributes.items():\n",
" blg_group.create_dataset(key, data=value)\n",
" else:\n",
" print(f\"文件 {filename} 中没有 'Metadata' 数据集\")\n",
" except Exception as e:\n",
" print(f\"读取文件 {filename} 时出错: {e}\")\n",
"\n",
"# 指定包含 HDF5 文件的目录路径\n",
"directory_path = os.getcwd()\n",
"\n",
"# 创建 Blg_Attributes 数据集\n",
"create_blg_attributes(directory_path)\n",
"\n",
"# 读取并打印 Blg_Attributes 数据集的值\n",
"for filename in os.listdir(directory_path):\n",
" if filename.endswith('.h5'):\n",
" filepath = os.path.join(directory_path, filename)\n",
" try:\n",
" with h5py.File(filepath, 'r') as h5file:\n",
" if 'Blg_Attributes' in h5file:\n",
" blg_attributes = {}\n",
" for key, dataset in h5file['Blg_Attributes'].items():\n",
" data = dataset[:]\n",
" if dataset.dtype.kind in ['i', 'u']:\n",
" tensor = torch.from_numpy(data).to(torch.int64)\n",
" elif dataset.dtype.kind == 'f':\n",
" tensor = torch.from_numpy(data).to(torch.float32)\n",
" else:\n",
" raise TypeError(f'Unknown data type: {data.dtype}')\n",
" blg_attributes[key] = tensor\n",
" print(f\"文件: {filename}, Blg_Attributes: {blg_attributes}\")\n",
" except Exception as e:\n",
" print(f\"读取文件 {filename} 时出错: {e}\")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### 检查"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "ml",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
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"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.12.3"
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"nbformat_minor": 2
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|