Skip to content

Instantly share code, notes, and snippets.

Embed
What would you like to do?
Codes on generating detuned damped-cosine signals and making them as color map
{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Peta warna atau *color map* digunakan untuk merepresentasikan kumpulan data dua dimensi dalam bentuk peta dua dimensi dengan salah satu variable yang direpresentasikan sebagai variasi warna. Dalam tutorial ini kita akan mendemonstrasikan bagaimana mengubah kumpulan data menjadi sebuah peta warna. Kita ambil contoh kumpulan data berupa gelombang sinusoidal teredam dengan frekuensi efektif $f_{\\text{ef}}$ berupa resultan dari frekuensi resonan dan frekuensi simpangan \n",
"\n",
"$$y = A \\cos(2\\pi f_{\\text{ef}} t) e^{-G t},$$\n",
"\n",
"dengan $A$ adalah amplitudo gelombang, $f_{\\text{ef}} = \\sqrt{\\Delta^2 + f^2}$ adalah frekuensi efektif, $\\Delta$ adalah simpangan frekuensi, $t$ adalah waktu, dan $G$ adalah parameter peredaman. Jika kita menjalankan fungsi di atas, penyimpangan frekuensi dari frekuensi resonan akan menyebabkan peningkatan frekuensi effektif dari gelombang sinusoidal teredam. \n",
"\n",
"Pertama-tama kita akan memproduksi kumpulan data fungsi sinusoidal teredam dengan frekuensi resonan tertentu dan frekuensi simpangan yang divariasikan mulai dari nilai negatif tertentu ke nilai positif tertentu. Kemudian dari kumpulan data yang dihasilan kita akan merepresentasikannya dalam bentuk peta warna dua dimensi dengan koordinat $x$ adalah variasi frekuensi simpangan $\\Delta$, koordinat $y$ adalah waktu $t$, dan amplitudo sebagai variasi warna. Kita akan mencoba menghasilkan sebuah peta warna yang membentuk pola *chevron* yang indah. Jika anda sudah mempunyai kumpulan data yang akan anda representasikan ke dalam sebuah peta warna anda dapat melompati bagian ini dan menuju ke bagain kode untuk menghasilkan peta warna. \n",
"\n",
"## Memproduksi data fungsi sinusoidal teredam\n",
"Pada bagian ini kita akan mencoba memproduksi kumpulan data sinusoidal teredam dengan frekuensi resonan $5$ MHz dengan $\\Delta$ yang divariasikan antara $-10$ MHz dan $10$ MHz. Data-data ini akan disimpan dalam bentuk fail-fail dengan ekstensi .csv dan akan terkumpul dalam sebuah folder.\n",
"\n",
"Pertama kita akan memanggil modul-modul yang akan kita gunakan, yaitu: NumPy untuk melakukan komputasi dan Pandas untuk strukturisasi data. Kita akan gunakan fungsi-fungsi dan modul NumPy antara lain: linspace untuk menghasilkan angka-angka dengan interval dan jumah tertentu, exp untuk membangkitkan fungsi eksponensial, cos untuk membangkitkan fungsi cosinus, pi untuk membangkitkan $\\pi$ dalam radian, dan sqrt untuk menghitung akar kuadrat. "
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"import numpy as np\n",
"from numpy import linspace, exp, cos, pi, sqrt\n",
"import pandas as pd\n",
"import matplotlib.pyplot as pl"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Selanjutnya kita definisikan direktori dan folder tempat kita akan menyimpan seluruh data yang kita bangkitkan (path). Kita juga definisikan nama file (filename) dari setiap data yang kta bangkitkan. "
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"path = r'/home/s1620023/ownCloud/PythonScript(ForTutorial)/DampedSineData/'\n",
"filename = r'DampedSine_Detuned'"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Kemudian kita definiskan fungsi sinusoidal teredam seperti persamaan di atas."
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
"def DampedSine(A, f, t, fd):\n",
" return A*(cos(2*pi*sqrt(f**2+fd**2)*t)) * exp(-G*t)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Di dalam fungsi tersebut terdapat beberapa paramter yaitu: A yang merupakan ampliudo dari gelombang sinusoidal, f adalah frekuensi resonan, t adalah waktu, dan Fd adalah frekuensi simpangan. Kita akan definisikan masing-masing paramter tersebut sebagai berikut:"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [],
"source": [
"A = 1\n",
"f = 5e6\n",
"Fd = linspace(-10e6, 10e6, 200)\n",
"t = linspace(0, 1e-6, 500)\n",
"G = 2e6"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Satuan dari frekuensi adalah Hz sedang waktu dalam sekon. Setelah semua parameter dalam fungsi terdefinisikan kita akan jalankan fungsi tersebut dalam sebuah iterasi dalam interval frekuensi simpangan Fd (dari $-10$ MHz sampai $10$ MHz sebayak 200 kali), untuk kemudian dituliskan ke dalam sebuah tabel dengan menggunakan modul DataFrame yang merupakan bagian dari modul pandas. Dalam tabel tersebut kolom pertama akan berisi indeks, kolom ke dua berisi data waktu t dan kolom ke tiga berisi hasil dari fungsi sinusoidal teredam; di sini kita definisikan sebagai y. \n",
"\n",
"Kita akan menyimpan tabel tersebut dalam sebuah fail yang kita namai sesuai dengan frekuensi simpangan yang dijalankan. Jika kita menjalankan kode di bawah dengan benar, kita akan menemukan 200 fail dengan identitas sesuai dengan frekuensi simpangan. Untuk memastikan bahwa kita benar-benar menghasilkan fungsi sinusoidal teredam seperti yang kita harapkan kita akan menggambar dua dari dari dua ratus fail berbeda yang kita punya "
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"data": {
"image/png": "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\n",
"text/plain": [
"<Figure size 432x288 with 2 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"for i in Fd:\n",
" fd = i\n",
" y = DampedSine(A, f, t, fd)\n",
" data_frame = {'t':t, 'A':y}\n",
" df = pd.DataFrame(data_frame, columns = ['t', 'A'])\n",
" df.to_csv(path+filename+str(fd)+'Hz'+'.csv', header=True)\n",
" if i == Fd[5]:\n",
" fig = pl.figure()\n",
" ax1 = fig.add_axes([0.1, 1.0, 0.6, 0.6])\n",
" ax1.set_xlabel('t ($\\mu$s)', fontsize = 20)\n",
" ax1.set_ylabel('Amplitudo', fontsize = 20)\n",
" ax1.tick_params(labelsize = 20)\n",
" ax1.plot(t*1e6, y, 'b', lw = 3.0, label = str(Fd[5]*1e-6) + ' MHz')\n",
" ax1.legend(fontsize = 12)\n",
" elif i == Fd[100]:\n",
" ax2 = fig.add_axes([1.0, 1.0, 0.6, 0.6])\n",
" ax2.set_xlabel('t ($\\mu$s)', fontsize = 20)\n",
" ax2.set_ylabel('Amplitudo', fontsize = 20)\n",
" ax2.tick_params(labelsize = 20)\n",
" ax2.plot(t*1e6, y, 'b', lw = 3.0, label = str(Fd[100]*1e-6) + ' MHz')\n",
" ax2.legend(fontsize = 12)\n",
" pl.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Membuat peta warna\n",
"\n",
"Jadi kita sudah punya kumpulan fail dengan data sinyal sinusoidal teredam. Selanjutnya kita akan mencoba menggabungkan data tersebut ke dalam sebuah peta warna. Ini seperti menyusun sebuah teka-teki *jigsaw*, hanya saja ini akan lebih mudah karena kita tinggal mengurutkan potongan-potongan gambar dan menyusunya sesuai urutan. Yang pertama kali kita lakukan adalah melakukan pengurutan terhadap fail. Di sini fail akan diurutkan berdasarkan frekuensi simpangan, yaitu dari $-10$ MHz sampai $10$ MHz. Kita akan urutkan berdasarkan identitas dari tiap fail, yang sudah kita berikan di kode sebelumnya. \n",
"\n",
"Untuk mengurutkan kita akan membuat sebuah fungsi yang mengambil hanya angka dalam nama fail. Kita akan gunakan fungsi ini sebagai kunci untuk melakukan pengurutan fail. Kita gunakan dua modul lagi yaitu: glob, untuk memnukan semua nama fail yang sesuai dengan direktori yang kita tuliskan untuk kemudian disusun ke dalam sebuah *array*, dan modul re, atau *regular expression* digunakan untuk mengambil bagian tertentu dari *string* yang mengandung elemen tertentu yang kita inginkan; dalam hal ini kita akan mengambil semua angka desimal (termasuk tanda negatif) yang ada dalam sebuah nama fail. "
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [],
"source": [
"import glob\n",
"import re\n",
"\n",
"def NumericalSort (values):\n",
" parts = re.findall(r'-?\\d+\\.\\d+', values)\n",
" parts[0] = float(parts[0])\n",
" return parts\n",
"\n",
"path = '/home/s1620023/ownCloud/PythonScript(ForTutorial)/DampedSineData/'\n",
"files = sorted(glob.glob(path + r\"/*Hz.csv\"), key=NumericalSort)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Dalam peta warna yang akan kita buat amplitudo akan kita representasiakn ke dalam itensitas warna. Untuk itu kita akan ambil data amblitudo dari setiap fail untuk kemudian kita susun secara vertikal menggunakan modul vstack. Melalui iterasi kita akan ambil data amplitudo dari setiap fail dan data frekuensi simpangan dari nama setiap fail. Kemudian kita akan buatkan *array* untuk data amplitudo dan frekuensi simpangan. "
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [],
"source": [
"ilist = [] \n",
"fdlist = []\n",
"for f in files:\n",
" Data = pd.read_csv(f)\n",
" number = re.findall('-?\\d+\\.\\d+',f)\n",
" fd = float(number[0])\n",
" i = np.array(Data['A'])\n",
" ilist.append(i)\n",
" fdlist.append(fd)\n",
"\n",
"I = np.vstack(ilist)\n",
"t = np.array(Data['t'])\n",
"Fd = fdlist\n",
"Fd = sorted(Fd) "
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Untuk membuat peta warna kita perlu untuk membuat koordinat (x,y) dari peta yang akan kita buat. Di sini koordinat x akan diberikan pada variabel waktu t sedangkan koordinat y akan diberikan pada variabel frekuensi simpangan. Untuk membuat koordinat kita gunakan modul meshgrid. Akhirnya untuk menggambar peta warna 2D kita gunakan modul pcolormesh dan jadilah pola *chevron* yang indah seperti di bawah ini."
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [
{
"data": {
"image/png": "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\n",
"text/plain": [
"<Figure size 432x288 with 2 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"Y, X = np.meshgrid(t, Fd)\n",
"\n",
"fig = pl.figure()\n",
"ax = fig.add_subplot(111)\n",
"ax.tick_params (length = 6.0)\n",
"ax.tick_params(labelsize = 20)\n",
"ax.set_xlabel(r'$f_d$ (MHz)', fontsize=20)\n",
"ax.set_ylabel(r'$t$ ($\\mu$s)', fontsize = 20)\n",
"pl.pcolormesh(X*1e-6, Y*1e6, I)\n",
"cb = pl.colorbar()\n",
"cb.ax.tick_params(labelsize=20)\n",
"cb.set_label(r'Amplitudo', size = 20)\n",
"\n",
"\n",
"pl.show()"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"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": "3.7.1"
}
},
"nbformat": 4,
"nbformat_minor": 1
}
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment