531 lines
1.5 MiB
Plaintext
531 lines
1.5 MiB
Plaintext
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{
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"cells": [
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{
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"cell_type": "markdown",
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"id": "7d7ec9b3-a8f6-4e85-a472-8d5552c53eed",
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"metadata": {},
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"source": [
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"数据处理笔记与记录"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 1,
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"id": "21bdcaa3-3761-4c92-be8f-e51fc2d99df8",
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"metadata": {},
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"outputs": [],
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"source": [
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"from matplotlib import pyplot as plt\n",
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"import os\n",
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"import numpy as np\n"
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]
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},
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{
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"cell_type": "markdown",
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"id": "8834938f-8857-45f2-9ab2-739fdc081fef",
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"metadata": {},
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"source": [
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"# 常用文件变量\n",
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"1. 参数项\n",
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"```\n",
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"-id D:\\codestorage\\testpolsarpro50\\prosarpro_sufarce_oh2004\\testpolsarpro50\\testpolsarpro50\\testpolsarpro50\\TestData\\TempData\\lee_filter -od D:\\codestorage\\testpolsarpro50\\prosarpro_sufarce_oh2004\\testpolsarpro50\\testpolsarpro50\\testpolsarpro50\\TestData\\TempData\\out_result -iodf T3 -ang D:\\codestorage\\testpolsarpro50\\prosarpro_sufarce_oh2004\\testpolsarpro50\\testpolsarpro50\\testpolsarpro50\\TestData\\TempData\\incidence.dat -ofr 0 -ofc 0 -fnr 8064 -fnc 7086 -fr 5.3 -un 0 -th1 100.0 -th2 700.0\n",
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"```\n",
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"2. 程序所在地址\n",
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"```\n",
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"D:\\codestorage\\testpolsarpro50\\prosarpro_sufarce_oh2004\\testpolsarpro50\\testpolsarpro50\\x64\\Release\n",
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"```\n",
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"3. 数据工作空间\n",
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"```\n",
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"D:\\codestorage\\testpolsarpro50\\prosarpro_sufarce_oh2004\\testpolsarpro50\\testpolsarpro50\\testpolsarpro50\\TestData\n",
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"```\n",
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"\n"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"id": "7064c90e-143e-4e8f-88a0-18bdb6a7e27f",
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"metadata": {},
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"outputs": [],
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"source": [
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"T3_folder=r\"D:\\codestorage\\testpolsarpro50\\prosarpro_sufarce_oh2004\\testpolsarpro50\\testpolsarpro50\\testpolsarpro50\\TestData\\TempData\\lee_filter\"\n",
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"inc_folder=r\"D:\\codestorage\\testpolsarpro50\\prosarpro_sufarce_oh2004\\testpolsarpro50\\testpolsarpro50\\testpolsarpro50\\TestData\\TempData\\incidence.dat\""
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]
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},
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{
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"cell_type": "code",
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"execution_count": 4,
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"id": "824ac42f-8d7a-43a9-b9c5-69f0208faa2f",
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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" 驱动器 D 中的卷是 新加卷\n",
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" 卷的序列号是 D0A2-A693\n",
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"\n",
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" D:\\codestorage\\testpolsarpro50\\prosarpro_sufarce_oh2004\\testpolsarpro50\\testpolsarpro50\\testpolsarpro50\\TestData\\TempData\\lee_filter 的目录\n",
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"\n",
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"2024/02/07 03:49 <DIR> .\n",
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"2024/02/07 03:49 <DIR> ..\n",
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"2024/01/24 17:36 97 config.txt\n",
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"2024/01/24 17:39 228,566,016 T11.bin\n",
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"2024/02/07 03:49 76,106,970 T11.bin.enp\n",
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"2024/02/07 03:49 243 T11.hdr\n",
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"2024/01/24 17:39 228,566,016 T12_imag.bin\n",
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"2024/01/24 17:39 228,566,016 T12_real.bin\n",
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"2024/01/24 17:39 228,566,016 T13_imag.bin\n",
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"2024/01/24 17:39 228,566,016 T13_real.bin\n",
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"2024/01/24 17:39 228,566,016 T22.bin\n",
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"2024/01/24 17:39 228,566,016 T23_imag.bin\n",
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"2024/01/24 17:39 228,566,016 T23_real.bin\n",
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"2024/01/24 17:39 228,566,016 T33.bin\n",
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" 12 个文件 2,133,201,454 字节\n",
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" 2 个目录 471,848,288,256 可用字节\n"
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]
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}
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],
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"source": [
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"!dir D:\\codestorage\\testpolsarpro50\\prosarpro_sufarce_oh2004\\testpolsarpro50\\testpolsarpro50\\testpolsarpro50\\TestData\\TempData\\lee_filter"
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]
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},
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{
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"cell_type": "markdown",
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"id": "ea19f925-cbcf-463b-83d6-3f2627d2c780",
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"metadata": {},
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"source": [
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"# 展示原始数据数据 T3、入射角数据\n"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 29,
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"id": "258bc4f2-3bc2-4195-83ac-7619418d21de",
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"metadata": {},
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"outputs": [
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{
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"ename": "ValueError",
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"evalue": "cannot reshape array of size 46188060 into shape (8064,7086)",
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"output_type": "error",
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"traceback": [
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"\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
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"\u001b[1;31mValueError\u001b[0m Traceback (most recent call last)",
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"Cell \u001b[1;32mIn[29], line 15\u001b[0m\n\u001b[0;32m 13\u001b[0m T23\u001b[38;5;241m=\u001b[39mT23\u001b[38;5;241m.\u001b[39mreshape(\u001b[38;5;241m8064\u001b[39m,\u001b[38;5;241m7086\u001b[39m)\n\u001b[0;32m 14\u001b[0m T33\u001b[38;5;241m=\u001b[39mT33\u001b[38;5;241m.\u001b[39mreshape(\u001b[38;5;241m8064\u001b[39m,\u001b[38;5;241m7086\u001b[39m)\n\u001b[1;32m---> 15\u001b[0m incidenceData\u001b[38;5;241m=\u001b[39m\u001b[43mincidenceData\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mreshape\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m8064\u001b[39;49m\u001b[43m,\u001b[49m\u001b[38;5;241;43m7086\u001b[39;49m\u001b[43m)\u001b[49m\n",
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"\u001b[1;31mValueError\u001b[0m: cannot reshape array of size 46188060 into shape (8064,7086)"
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]
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}
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],
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"source": [
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"T11=np.fromfile(os.path.join(T3_folder,\"T11.bin\"),dtype=np.float32)\n",
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"T12=np.fromfile(os.path.join(T3_folder,\"T12_real.bin\"),dtype=np.float32)+np.fromfile(os.path.join(T3_folder,\"T12_imag.bin\"),dtype=np.float32)*1j\n",
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"T13=np.fromfile(os.path.join(T3_folder,\"T13_real.bin\"),dtype=np.float32)+np.fromfile(os.path.join(T3_folder,\"T13_imag.bin\"),dtype=np.float32)*1j\n",
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"T22=np.fromfile(os.path.join(T3_folder,\"T22.bin\"),dtype=np.float32) \n",
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"T23=np.fromfile(os.path.join(T3_folder,\"T23_real.bin\"),dtype=np.float32)+np.fromfile(os.path.join(T3_folder,\"T23_imag.bin\"),dtype=np.float32)*1j\n",
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"T33=np.fromfile(os.path.join(T3_folder,\"T33.bin\"),dtype=np.float32)\n",
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"incidenceData=np.fromfile(r\"D:\\codestorage\\testpolsarpro50\\prosarpro_sufarce_oh2004\\testpolsarpro50\\testpolsarpro50\\testpolsarpro50\\TestData\\TempData\\incidence.dat\",dtype=np.float64)\n",
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"# 数据格式重整化\n",
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"T11=T11.reshape(8064,7086)\n",
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"T12=T12.reshape(8064,7086)\n",
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"T13=T13.reshape(8064,7086)\n",
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"T22=T22.reshape(8064,7086)\n",
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"T23=T23.reshape(8064,7086)\n",
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"T33=T33.reshape(8064,7086)\n",
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"incidenceData=incidenceData.reshape(8781,10520)"
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]
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},
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{
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"cell_type": "code",
|
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|
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"execution_count": 30,
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|
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"id": "f95a7843-3fd8-480a-aa4c-a36950607821",
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"metadata": {},
|
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"outputs": [
|
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{
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"data": {
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|
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"text/plain": [
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|
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"5727.6860119047615"
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|
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]
|
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|
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},
|
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|
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"execution_count": 30,
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|
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"metadata": {},
|
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|
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"output_type": "execute_result"
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|
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}
|
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|
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],
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|
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"source": []
|
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|
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},
|
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|
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{
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|
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"cell_type": "code",
|
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|
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"execution_count": 27,
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|
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"id": "8f72330a-2a6f-453b-8aad-18b4a59cd0cf",
|
||
|
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"metadata": {},
|
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|
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"outputs": [
|
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{
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"name": "stdout",
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|
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"output_type": "stream",
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"text": [
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"T11\n"
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]
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},
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{
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"data": {
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"image/png": "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"text/plain": [
|
||
|
|
"<Figure size 421.786x480 with 2 Axes>"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
"metadata": {},
|
||
|
|
"output_type": "display_data"
|
||
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},
|
||
|
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{
|
||
|
|
"name": "stdout",
|
||
|
|
"output_type": "stream",
|
||
|
|
"text": [
|
||
|
|
"T12 amp\n"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"data": {
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|
||
|
|
"text/plain": [
|
||
|
|
"<Figure size 421.786x480 with 2 Axes>"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
"metadata": {},
|
||
|
|
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|
||
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||
|
|
{
|
||
|
|
"name": "stdout",
|
||
|
|
"output_type": "stream",
|
||
|
|
"text": [
|
||
|
|
"T13 amp\n"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"data": {
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|
||
|
|
"text/plain": [
|
||
|
|
"<Figure size 421.786x480 with 2 Axes>"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
"metadata": {},
|
||
|
|
"output_type": "display_data"
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"name": "stdout",
|
||
|
|
"output_type": "stream",
|
||
|
|
"text": [
|
||
|
|
"T12 pha\n"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"data": {
|
||
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|
||
|
|
"text/plain": [
|
||
|
|
"<Figure size 421.786x480 with 2 Axes>"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
"metadata": {},
|
||
|
|
"output_type": "display_data"
|
||
|
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},
|
||
|
|
{
|
||
|
|
"name": "stdout",
|
||
|
|
"output_type": "stream",
|
||
|
|
"text": [
|
||
|
|
"T13 pha\n"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
{
|
||
|
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"data": {
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|
||
|
|
"text/plain": [
|
||
|
|
"<Figure size 421.786x480 with 2 Axes>"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
"metadata": {},
|
||
|
|
"output_type": "display_data"
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"name": "stdout",
|
||
|
|
"output_type": "stream",
|
||
|
|
"text": [
|
||
|
|
"T22\n"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"data": {
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|
||
|
|
"text/plain": [
|
||
|
|
"<Figure size 421.786x480 with 2 Axes>"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
"metadata": {},
|
||
|
|
"output_type": "display_data"
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"name": "stdout",
|
||
|
|
"output_type": "stream",
|
||
|
|
"text": [
|
||
|
|
"T23 amp \n"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"data": {
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"image/png": "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
|
||
|
|
"text/plain": [
|
||
|
|
"<Figure size 421.786x480 with 2 Axes>"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
"metadata": {},
|
||
|
|
"output_type": "display_data"
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"name": "stdout",
|
||
|
|
"output_type": "stream",
|
||
|
|
"text": [
|
||
|
|
"T23 pha \n"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"data": {
|
||
|
|
"image/png": "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
|
||
|
|
"text/plain": [
|
||
|
|
"<Figure size 421.786x480 with 2 Axes>"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
"metadata": {},
|
||
|
|
"output_type": "display_data"
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"name": "stdout",
|
||
|
|
"output_type": "stream",
|
||
|
|
"text": [
|
||
|
|
"T33\n"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"data": {
|
||
|
|
"image/png": "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
|
||
|
|
"text/plain": [
|
||
|
|
"<Figure size 421.786x480 with 2 Axes>"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
"metadata": {},
|
||
|
|
"output_type": "display_data"
|
||
|
|
}
|
||
|
|
],
|
||
|
|
"source": [
|
||
|
|
"print(\"T11\")\n",
|
||
|
|
"plt.matshow(T11,cmap=\"gist_rainbow\" ,vmin=0, vmax=1)\n",
|
||
|
|
"plt.colorbar(cmap=\"gist_rainbow\")\n",
|
||
|
|
"plt.show()\n",
|
||
|
|
"print(\"T12 amp\")\n",
|
||
|
|
"plt.matshow(np.abs(T12),cmap=\"gist_rainbow\" ,vmin=0, vmax=1)\n",
|
||
|
|
"plt.colorbar(cmap=\"gist_rainbow\")\n",
|
||
|
|
"plt.show()\n",
|
||
|
|
"print(\"T13 amp\")\n",
|
||
|
|
"plt.matshow(np.abs(T13),cmap=\"gist_rainbow\" ,vmin=0, vmax=1)\n",
|
||
|
|
"plt.colorbar(cmap=\"gist_rainbow\")\n",
|
||
|
|
"plt.show()\n",
|
||
|
|
"print(\"T12 pha\")\n",
|
||
|
|
"plt.matshow(np.angle(T12),cmap=\"gist_rainbow\")\n",
|
||
|
|
"plt.colorbar(cmap=\"gist_rainbow\")\n",
|
||
|
|
"plt.show()\n",
|
||
|
|
"print(\"T13 pha\")\n",
|
||
|
|
"plt.matshow(np.angle(T13),cmap=\"gist_rainbow\")\n",
|
||
|
|
"plt.colorbar(cmap=\"gist_rainbow\")\n",
|
||
|
|
"plt.show()\n",
|
||
|
|
"print(\"T22\")\n",
|
||
|
|
"plt.matshow(T22,cmap=\"gist_rainbow\" ,vmin=0, vmax=1)\n",
|
||
|
|
"plt.colorbar(cmap=\"gist_rainbow\")\n",
|
||
|
|
"plt.show()\n",
|
||
|
|
"print(\"T23 amp \")\n",
|
||
|
|
"plt.matshow(np.abs(T23),cmap=\"gist_rainbow\" ,vmin=0, vmax=1)\n",
|
||
|
|
"plt.colorbar(cmap=\"gist_rainbow\")\n",
|
||
|
|
"plt.show()\n",
|
||
|
|
"print(\"T23 pha \")\n",
|
||
|
|
"plt.matshow(np.angle(T23),cmap=\"gist_rainbow\")\n",
|
||
|
|
"plt.colorbar(cmap=\"gist_rainbow\")\n",
|
||
|
|
"plt.show()\n",
|
||
|
|
"print(\"T33\")\n",
|
||
|
|
"plt.matshow(T11,cmap=\"gist_rainbow\" ,vmin=0, vmax=1)\n",
|
||
|
|
"plt.colorbar(cmap=\"gist_rainbow\")\n",
|
||
|
|
"plt.show()\n",
|
||
|
|
"\n"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"cell_type": "code",
|
||
|
|
"execution_count": 24,
|
||
|
|
"id": "99f573d2-5716-43ab-9dfc-0a79c056ef87",
|
||
|
|
"metadata": {},
|
||
|
|
"outputs": [
|
||
|
|
{
|
||
|
|
"name": "stdout",
|
||
|
|
"output_type": "stream",
|
||
|
|
"text": [
|
||
|
|
"(array([ 65, 97, 170, 189, 190, 238, 279, 280, 342, 342, 343,\n",
|
||
|
|
" 343, 343, 343, 344, 344, 352, 353, 362, 363, 419, 481,\n",
|
||
|
|
" 482, 484, 484, 488, 777, 805, 805, 806, 813, 835, 836,\n",
|
||
|
|
" 909, 979, 980, 981, 1004, 1009, 1009, 1009, 1009, 1009, 1010,\n",
|
||
|
|
" 1010, 1010, 1010, 1010, 1011, 1014, 1015, 1015, 1015, 1016, 1016,\n",
|
||
|
|
" 1017, 1017, 1017, 1018, 1018, 1019, 1019, 1019, 1020, 1020, 1020,\n",
|
||
|
|
" 1020, 1054, 1168, 1168, 1172, 1220, 1348, 1349, 1550, 1570, 1633,\n",
|
||
|
|
" 1679, 1799, 1800, 1806, 1807, 1808, 1808, 1808, 1808, 1808, 1808,\n",
|
||
|
|
" 1809, 1809, 1809, 1809, 1809, 1809, 1809, 1810, 1810, 1810, 1810,\n",
|
||
|
|
" 1810, 1810, 1810, 1811, 1849, 1854, 1854, 1855, 1855, 1856, 1856,\n",
|
||
|
|
" 1856, 1857, 1857, 1858, 1858, 1859, 1886, 1910, 1910, 1911, 1911,\n",
|
||
|
|
" 1912, 1912, 1916, 1916, 1917, 1917, 1917, 1918, 1921, 1921, 1922,\n",
|
||
|
|
" 1922, 1923, 1923, 1956, 1957, 1957, 2071, 2072, 2072, 2074, 2082,\n",
|
||
|
|
" 2082, 2188, 2197, 2198, 2316, 2317, 2317, 2361, 2362, 2403, 2425,\n",
|
||
|
|
" 2425, 2426, 2426, 2427, 2509, 2510, 2513, 2513, 2513, 2514, 2528,\n",
|
||
|
|
" 2580, 2640, 2669, 2670, 2693, 2694, 2694, 2727, 2728, 2860, 2932,\n",
|
||
|
|
" 2933, 2937, 2940, 2941, 2996, 3006, 3028, 3029, 3029, 3051, 3053,\n",
|
||
|
|
" 3187, 3187, 3188, 3188, 3196, 3460, 3460, 3471, 3472, 3472, 3473,\n",
|
||
|
|
" 3473, 3478, 3479, 3479, 3479, 3479, 3480, 3480, 3491, 3495, 3495,\n",
|
||
|
|
" 3503, 3509, 3510, 3532, 3536, 3536, 3536, 3537, 3537, 3537, 3537,\n",
|
||
|
|
" 3538, 3538, 3538, 3539, 3582, 3621, 3631, 3631, 3682, 3683, 3686,\n",
|
||
|
|
" 3687, 3737, 3738, 3764, 3765, 3765, 3778, 3779, 3800, 3801, 3801,\n",
|
||
|
|
" 3802, 3802, 3836, 3895, 3896, 4000, 4114, 4115, 4115, 4115, 4115,\n",
|
||
|
|
" 4116, 4116, 4116, 4116, 4141, 4349, 4360, 4361, 4518, 4518, 4519,\n",
|
||
|
|
" 4519, 4519, 4520, 4676, 4676, 4691, 4737, 4737, 4738, 4738, 4739,\n",
|
||
|
|
" 4739, 4745, 4745, 4792, 4793, 4794, 4796, 4797, 4798, 4802, 4913,\n",
|
||
|
|
" 4956, 4956, 4980, 4981, 5058, 5058, 5058, 5059, 5059, 5059, 5065,\n",
|
||
|
|
" 5084, 5085, 5085, 5086, 5087, 5123, 5124, 5128, 5165, 5165, 5172,\n",
|
||
|
|
" 5172, 5173, 5173, 5174, 5174, 5191, 5191, 5191, 5192, 5192, 5192,\n",
|
||
|
|
" 5193, 5193, 5248, 5340, 5405, 5405, 5481, 5482, 5637, 5638, 5899,\n",
|
||
|
|
" 5940, 5941, 6180, 6326, 6522, 6551, 6951, 6952, 6952, 6953, 6956,\n",
|
||
|
|
" 6956, 6957, 6957, 6958, 6994, 6995, 7331, 7332, 7385, 7434, 7434,\n",
|
||
|
|
" 7435, 7435], dtype=int64), array([5284, 7047, 5340, 2449, 2449, 1343, 4415, 4415, 1344, 1345, 1344,\n",
|
||
|
|
" 1345, 1978, 1979, 1978, 1979, 1886, 1886, 1321, 1321, 1291, 1343,\n",
|
||
|
|
" 1343, 1094, 1095, 1106, 4732, 877, 878, 877, 883, 869, 869,\n",
|
||
|
|
" 6378, 6132, 6115, 6115, 2450, 2449, 2450, 2451, 2452, 2459, 2451,\n",
|
||
|
|
" 2452, 2458, 2459, 2460, 2459, 2449, 2449, 2458, 2459, 2409, 2410,\n",
|
||
|
|
" 2409, 2410, 2411, 2410, 2411, 2449, 2451, 2452, 2449, 2451, 2452,\n",
|
||
|
|
" 2453, 2437, 4138, 4143, 4139, 1843, 6836, 6836, 4435, 4458, 1210,\n",
|
||
|
|
" 1157, 3457, 3457, 50, 3456, 3435, 3439, 3440, 3447, 3455, 3456,\n",
|
||
|
|
" 3435, 3436, 3437, 3438, 3439, 3440, 3441, 3435, 3436, 3437, 3438,\n",
|
||
|
|
" 3439, 3440, 3441, 3436, 3389, 3351, 3352, 3351, 3352, 3336, 3351,\n",
|
||
|
|
" 3352, 3335, 3336, 3335, 3336, 3336, 3799, 3399, 3400, 3399, 3400,\n",
|
||
|
|
" 3399, 3400, 6614, 6615, 3364, 6614, 6615, 3364, 3390, 3391, 3390,\n",
|
||
|
|
" 3391, 3390, 3391, 3339, 3339, 3363, 5182, 5181, 5182, 5180, 4011,\n",
|
||
|
|
" 4012, 3856, 3855, 3855, 3143, 3143, 3144, 4035, 4035, 2951, 3021,\n",
|
||
|
|
" 3022, 3021, 3022, 3022, 4608, 4608, 4600, 4601, 4613, 4601, 6880,\n",
|
||
|
|
" 6802, 5441, 5482, 5482, 5490, 5489, 5490, 4029, 4029, 5867, 5865,\n",
|
||
|
|
" 5865, 5804, 1212, 1212, 502, 2433, 4994, 4994, 4995, 4765, 4760,\n",
|
||
|
|
" 3833, 3834, 3833, 3834, 1243, 4324, 4325, 4456, 4455, 4456, 4455,\n",
|
||
|
|
" 4456, 672, 672, 4441, 4442, 4443, 4442, 4443, 928, 695, 696,\n",
|
||
|
|
" 7043, 4451, 4451, 4467, 4421, 4422, 4423, 4421, 4422, 4423, 4424,\n",
|
||
|
|
" 4422, 4423, 4424, 4424, 4477, 5111, 361, 362, 1603, 5120, 564,\n",
|
||
|
|
" 564, 735, 735, 340, 340, 341, 4871, 4871, 421, 421, 422,\n",
|
||
|
|
" 421, 422, 343, 4831, 4831, 4079, 5630, 5629, 5630, 5631, 5632,\n",
|
||
|
|
" 3588, 5629, 5630, 5631, 3490, 1183, 2563, 2563, 2120, 2121, 2119,\n",
|
||
|
|
" 2120, 2121, 2120, 748, 750, 6982, 1547, 1548, 1547, 1548, 1547,\n",
|
||
|
|
" 1548, 1534, 1535, 4073, 4073, 4073, 4073, 4073, 4073, 4073, 2950,\n",
|
||
|
|
" 2981, 2982, 2961, 2961, 2982, 2987, 2988, 2982, 2984, 2988, 2975,\n",
|
||
|
|
" 2912, 2911, 2912, 2864, 2864, 3004, 3004, 2986, 2892, 2893, 2933,\n",
|
||
|
|
" 2934, 2933, 2934, 2933, 2934, 2918, 2919, 2920, 2918, 2919, 2920,\n",
|
||
|
|
" 2918, 2919, 6984, 2141, 953, 954, 6850, 6850, 1441, 1441, 726,\n",
|
||
|
|
" 6449, 6449, 3835, 6409, 6479, 5768, 6793, 6792, 6793, 6793, 6792,\n",
|
||
|
|
" 6793, 6792, 6793, 6793, 6810, 6810, 1026, 1026, 5184, 5619, 5620,\n",
|
||
|
|
" 5619, 5620], dtype=int64))\n"
|
||
|
|
]
|
||
|
|
}
|
||
|
|
],
|
||
|
|
"source": []
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"cell_type": "code",
|
||
|
|
"execution_count": null,
|
||
|
|
"id": "83c217d4-55b2-4e4a-95cf-814c98db113b",
|
||
|
|
"metadata": {},
|
||
|
|
"outputs": [],
|
||
|
|
"source": []
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"cell_type": "code",
|
||
|
|
"execution_count": null,
|
||
|
|
"id": "1fd36d09-f3c2-493a-8e2f-46c47f9786f3",
|
||
|
|
"metadata": {},
|
||
|
|
"outputs": [],
|
||
|
|
"source": []
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"cell_type": "code",
|
||
|
|
"execution_count": null,
|
||
|
|
"id": "12ef75ae-cdca-4791-b3e8-352a41375b43",
|
||
|
|
"metadata": {},
|
||
|
|
"outputs": [],
|
||
|
|
"source": []
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"cell_type": "code",
|
||
|
|
"execution_count": null,
|
||
|
|
"id": "d7c9af73-b57e-44eb-a362-eceb74beb126",
|
||
|
|
"metadata": {},
|
||
|
|
"outputs": [],
|
||
|
|
"source": []
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"cell_type": "code",
|
||
|
|
"execution_count": null,
|
||
|
|
"id": "433ff571-113b-42c1-b50d-92398ca64d38",
|
||
|
|
"metadata": {},
|
||
|
|
"outputs": [],
|
||
|
|
"source": []
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"cell_type": "code",
|
||
|
|
"execution_count": null,
|
||
|
|
"id": "a0fca093-b2ae-48ee-9d8e-f8d4c037db07",
|
||
|
|
"metadata": {},
|
||
|
|
"outputs": [],
|
||
|
|
"source": []
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"cell_type": "code",
|
||
|
|
"execution_count": null,
|
||
|
|
"id": "c5c4605b-0510-4999-9f33-268f311727f9",
|
||
|
|
"metadata": {},
|
||
|
|
"outputs": [],
|
||
|
|
"source": []
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"cell_type": "code",
|
||
|
|
"execution_count": null,
|
||
|
|
"id": "fdb6324f-8afa-4590-ab86-473f48fdc666",
|
||
|
|
"metadata": {},
|
||
|
|
"outputs": [],
|
||
|
|
"source": []
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"cell_type": "code",
|
||
|
|
"execution_count": null,
|
||
|
|
"id": "4a85daac-8298-48c6-ad2c-e541d9750401",
|
||
|
|
"metadata": {},
|
||
|
|
"outputs": [],
|
||
|
|
"source": []
|
||
|
|
}
|
||
|
|
],
|
||
|
|
"metadata": {
|
||
|
|
"kernelspec": {
|
||
|
|
"display_name": "Python 3 (ipykernel)",
|
||
|
|
"language": "python",
|
||
|
|
"name": "python3"
|
||
|
|
},
|
||
|
|
"language_info": {
|
||
|
|
"codemirror_mode": {
|
||
|
|
"name": "ipython",
|
||
|
|
"version": 3
|
||
|
|
},
|
||
|
|
"file_extension": ".py",
|
||
|
|
"mimetype": "text/x-python",
|
||
|
|
"name": "python",
|
||
|
|
"nbconvert_exporter": "python",
|
||
|
|
"pygments_lexer": "ipython3",
|
||
|
|
"version": "3.8.18"
|
||
|
|
}
|
||
|
|
},
|
||
|
|
"nbformat": 4,
|
||
|
|
"nbformat_minor": 5
|
||
|
|
}
|