mirror of
https://github.com/c-sooyoung/bo-ptycho.git
synced 2026-09-17 22:29:07 +09:00
155 lines
3.6 KiB
Plaintext
155 lines
3.6 KiB
Plaintext
{
|
|
"cells": [
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "65e78297",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"import os\n",
|
|
"import numpy as np\n",
|
|
"import matplotlib.pyplot as plt"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "90917d29",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"result_dir = \"../results/260812-Si/Si2V1_2\"\n",
|
|
"train_x = np.load(os.path.join(result_dir, 'train_x.npy')).T\n",
|
|
"train_y = np.load(os.path.join(result_dir, 'train_y.npy')).T\n"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "05c0f656",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"train_x.shape"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "47b5dd69",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"xparams = [\n",
|
|
" 'defocus [A]',\n",
|
|
" 'layers',\n",
|
|
" 'thickness [A]'\n",
|
|
"]\n",
|
|
"\n",
|
|
"sort_index = np.argsort(train_y)\n",
|
|
"\n",
|
|
"x = train_x[:,sort_index]\n",
|
|
"y = train_y[sort_index]\n",
|
|
"\n",
|
|
"EPSILON = 1e-3 # choose best according to plot\n",
|
|
"\n",
|
|
"train_y_scaled = np.log(-train_y + y[-1] + EPSILON)\n",
|
|
"y_scaled = np.log(-y + y[-1] + EPSILON)\n",
|
|
"\n",
|
|
"fig, ax = plt.subplots(1, 2, figsize=(7,3))\n",
|
|
"ax[0].plot(y, 'k')\n",
|
|
"ax[1].plot(y_scaled, 'k')\n",
|
|
"plt.show()\n",
|
|
"\n",
|
|
"fig, ax = plt.subplots(1, 2, figsize=(7,3))\n",
|
|
"ax[0].plot(train_y, 'k')\n",
|
|
"ax[1].plot(train_y_scaled, 'k')\n",
|
|
"plt.show()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "4990770c",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"cut = 0 # set to -1 to get all points\n",
|
|
"\n",
|
|
"fig, axs = plt.subplots(1, len(x), figsize=(3*len(x)+0.5, 3.5), sharey=True)\n",
|
|
"\n",
|
|
"for i, axi in enumerate(axs):\n",
|
|
" axi.scatter(x[i][cut:], y_scaled[cut:], c=y_scaled[cut:], cmap='coolwarm')\n",
|
|
" axi.set_xlabel(xparams[i])\n",
|
|
"\n",
|
|
"axs[0].set_ylabel('$- \\\\log (\\ \\\\mathtt{fourier\\_error}\\ )$')\n",
|
|
"\n",
|
|
"plt.tight_layout()\n",
|
|
"plt.show()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "a2694f3c",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"\n",
|
|
"fig, axs = plt.subplots(len(x), len(x), figsize=(3*len(x)+0.5, 3*len(x)+0.5))\n",
|
|
"\n",
|
|
"for i, axi in enumerate(axs):\n",
|
|
" for j, axij in enumerate(axi):\n",
|
|
" axij.scatter(\n",
|
|
" x[j], x[i],\n",
|
|
" c = y_scaled, # color\n",
|
|
" cmap = 'coolwarm',\n",
|
|
" s = 20, # size\n",
|
|
" alpha = 0 if i == j else 1 # make diagonal transparent\n",
|
|
" )\n",
|
|
" if i == len(x)-1:\n",
|
|
" axij.set_xlabel(xparams[j])\n",
|
|
" else:\n",
|
|
" axij.set_xticks([])\n",
|
|
" if j == 0:\n",
|
|
" axij.set_ylabel(xparams[i])\n",
|
|
" else:\n",
|
|
" axij.set_yticks([])\n",
|
|
"\n",
|
|
"plt.tight_layout()\n",
|
|
"plt.show()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "295ca65c",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": []
|
|
}
|
|
],
|
|
"metadata": {
|
|
"kernelspec": {
|
|
"display_name": "lemon",
|
|
"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": "3.12.12"
|
|
}
|
|
},
|
|
"nbformat": 4,
|
|
"nbformat_minor": 5
|
|
}
|