{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "## 4. Dataset osztály\n", "\n", "A `Dataset` osztály az alapját képezi az összes kiértékelési módszernek: minden általános műveletet amit interferogramokon végezhetünk ez az osztály valósítja meg. Az itt bemutatott funkciók minden módszer esetén használhatóak (az `SPPMethod` kivételével, mivel annak az elemein használhatóak). Ehhez most szintetikus adatokat fogok használni." ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "import numpy as np\n", "import matplotlib.pyplot as plt\n", "import pysprint as ps\n", "\n", "x = np.linspace(500, 1000, 2000)\n", "y = np.cos(x ** 2 - 6 * x ** 3)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "A `Dataset` alap konstruktora így néz ki:\n", "```python\n", "Dataset(x, y, ref=None, sam=None, meta=None, errors=\"raise\", parent=None, callback=None)\n", "```\n", "`x`, `y` : Értelemszerűen az interferogram `x` és `y` értékei `np.ndarray`-ként.\n", "\n", "`ref`, `sam` : A referencia- és tárgykar spektruma `np.ndarray`-ként (csak `y` értékek).\n", "\n", "`meta` : A további metaadatok az interferogramról. Itt bármilyen dictionaryt beállíthatunk.\n", "\n", "`errors` : Ha `raise`, akkor különböző hosszúságú `x` és `y` értékekre hibát ad. Ha `force`, akkor levágja a hosszabb adatsort, hogy egyező hosszúságú legyen az `x` és `y`.\n", "\n", "`parent` és `callback` : A felhasználó szempontjából lényegtelen argumentumok.\n", "\n", "A másik konstruktor a fájlból való beolvasáshoz van, ez a `parse_raw`. Ennek a szignatúrája a következő:\n", "```python\n", "Dataset.parse_raw(\n", " filename,\n", " ref=None,\n", " sam=None,\n", " skiprows=0,\n", " decimal=\".\",\n", " sep=None,\n", " delimiter=None,\n", " comment=None,\n", " usecols=None,\n", " names=None,\n", " swapaxes=False,\n", " na_values=None,\n", " skip_blank_lines=True,\n", " keep_default_na=False,\n", " meta_len=1,\n", " errors=\"raise\",\n", " parent=None,\n", " callback=None\n", " )\n", "```\n", "Itt a hosszúsága miatt nem írom le a paraméterek jelentését, minden elolvasható a `help(ps.Dataset.parse_raw)` paranccsal. Most egyszerűen `np.ndarray`-ként adom meg az adatokat. Ekkor a kiíratásnál néhány fontos adatot láthatunk." ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [ { "data": { "text/html": [ "\n", "
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\n", " Parameters\n", "
Datapoints 2000
Predicted domain wavelength
Range min 500.000 nm
Range max 1000.000 nm
Normalized True
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SPP position(s)Not given
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fontos_adat_amit_be_akarok_allitani 20
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" ], "text/plain": [ "" ] }, "execution_count": 2, "metadata": {}, "output_type": "execute_result" } ], "source": [ "d = ps.Dataset(x, y)\n", "d.meta = {\"fontos_adat_amit_be_akarok_allitani\": 20}\n", "d" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Bár nem adtuk meg a tárgy- és a referencianyaláb spektrumát mégis kitalálta a program, hogy az interferogram normált. Minden betöltésnél ellenőrzésre kerül, hogy a megadott grafikon mekkora hányada esik kívül a [-1, 1] intervallumon, és ha az kellően kicsi, akkor normáltnak tekinti. A plottolás a plot metódussal lehetséges:" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "d.plot()\n", "d.show() # <-- ekvivalens a plt.show függvénnyel, Jupyterben akár el is hagyható." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "A teljes szignatúra a következőképpen néz ki:\n", "```python\n", "Dataset.plot(ax=None, title=None, xlim=None, ylim=None, **kwargs)\n", "```\n", "A rövidség miatt ezeket az argumentumokat itt nem részletezem. Ezekkel az opciókkal tetszőleges, akár bonyolult általunk generált grafikonokba is könnyen beágyazható és testreszabható. Alapértelmezetten a `plot` függvény nem fogja a `plt.show` függvényt meghívni, tehát Jupyter Notebookon kívül azt nekünk kell.\n", "\n", "A következő fontos dolog a `chdomain` és a `chrange` függvények. Ezekkel egyszerűen válthatunk frekvenciatartományból hullámhossztartományba, vagy fordítva." ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Dataset\n", "----------\n", "Parameters\n", "----------\n", "Datapoints: 2000\n", "Predicted domain: frequency\n", "Range: from 1.884 to 3.767 PHz\n", "Normalized: True\n", "Delay value: Not given\n", "SPP position(s): Not given\n", "----------------------------\n", "Metadata extracted from file\n", "----------------------------\n", "{\n", " \"fontos_adat_amit_be_akarok_allitani\": 20\n", "}\n" ] } ], "source": [ "d.chdomain()\n", "print(d)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Látható, hogy a fenti cella futtatása után már `Range: from 1.884 to 3.767 PHz`. Vigyázat, a `chdomain` egy inplace operáció: ha mégegyszer lefuttatjuk a fenti cellát, akkor vissza fogja váltani az eredeti tartományba. Érdemes ezt a függvényt a betöltéssel együtt ugyanabba a cellába tenni valahogyan így:\n", "```pyhon\n", "d = ps.Dataset(x, y)\n", "d.chdomain()\n", "```\n", "Ekkor bármikor újra lefuttatjuk a cellát, akkor betöltődik újra az adatsor, és a váltás biztosan csak egyszer fog megtörténni. A függvénynek megadható az `inplace=False` opció is, erről bővebben az `FFTMethod` leírásában.\n", "\n", "A `chrange` függvény a mértékegység átváltásra való.\n", "```python\n", "Dataset.chrange(current_unit, target_unit=\"phz\")\n", "```\n", "Ha pl. pikométerben van az x tengelyünk, akkor nanométerbe való váltást így végezhetnénk:\n", "```python\n", "d.chrange(current_unit=\"pm\", target_unit=\"nm\")\n", "```\n", "Ez a függvény is támogatja az `inplace` argumentumot.\n", "\n", "\n", "Az állandó fázisú pont módszeréhez tartozó függvényekről. Kiíratásnál látható volt, hogy\n", "```python\n", "Delay value: Not given\n", "SPP position(s): Not given\n", "```\n", "Minden `Dataset` osztályon lehetőség van beállítani az állandó fázisú pontok helyét és a hozzá tartozó késleltetést. Ezt több módon is lehet. A legegyszerűbb:" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Dataset\n", "----------\n", "Parameters\n", "----------\n", "Datapoints: 2000\n", "Predicted domain: frequency\n", "Range: from 1.884 to 3.767 PHz\n", "Normalized: True\n", "Delay value: 400 fs\n", "SPP position(s): (2, 3) PHz\n", "----------------------------\n", "Metadata extracted from file\n", "----------------------------\n", "{\n", " \"fontos_adat_amit_be_akarok_allitani\": 20\n", "}\n" ] } ], "source": [ "d.delay = 400 # fs\n", "d.positions = 2, 3 # PHz\n", "print(d)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "A `delay` mindig egy szám, a `positions` pedig tetszőleges mennyiségű szám lehet (tuple, lista, np.ndarray mind elfogadható.) Ezután a `plot` függvény is megváltozik: jelöli a megadott állandó fázisú pontok helyét." ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "data": { "image/png": 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "d.plot()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Alapértelmezetten a grafikonon nem létező helyre a program nem engedi beállítani az állandó fázisú pont helyét." ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "ename": "ValueError", "evalue": "Cannot set SPP position to 4000 since it's not in the dataset's range.", "output_type": "error", "traceback": [ "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", "\u001b[1;31mValueError\u001b[0m Traceback (most recent call last)", "\u001b[1;32m\u001b[0m in \u001b[0;36m\u001b[1;34m\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0md\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mpositions\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;36m4000\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m", "\u001b[1;32mc:\\pyt\\pysprint\\pysprint\\core\\bases\\dataset.py\u001b[0m in \u001b[0;36mpositions\u001b[1;34m(self, value)\u001b[0m\n\u001b[0;32m 337\u001b[0m \u001b[1;32mif\u001b[0m \u001b[0mvalue\u001b[0m \u001b[1;33m<\u001b[0m \u001b[0mnp\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mmin\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mx\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;32mor\u001b[0m \u001b[0mvalue\u001b[0m \u001b[1;33m>\u001b[0m \u001b[0mnp\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mmax\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mx\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 338\u001b[0m raise ValueError(\n\u001b[1;32m--> 339\u001b[1;33m \u001b[1;34mf\"Cannot set SPP position to {value} since it's not in the dataset's range.\"\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 340\u001b[0m )\n\u001b[0;32m 341\u001b[0m \u001b[1;31m# FIXME: maybe we don't need to distinguish between np.ndarray and Iterable\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", "\u001b[1;31mValueError\u001b[0m: Cannot set SPP position to 4000 since it's not in the dataset's range." ] } ], "source": [ "d.positions = 4000" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Azonban a `set_SPP_data(delay, positions, force=False)` függvénnyel ez is megtehető:" ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Dataset\n", "----------\n", "Parameters\n", "----------\n", "Datapoints: 2000\n", "Predicted domain: frequency\n", "Range: from 1.884 to 3.767 PHz\n", "Normalized: True\n", "Delay value: 400.0 fs\n", "SPP position(s): [4000, 2] PHz\n", "----------------------------\n", "Metadata extracted from file\n", "----------------------------\n", "{\n", " \"fontos_adat_amit_be_akarok_allitani\": 20\n", "}\n" ] } ], "source": [ "d.set_SPP_data(delay=400, positions=[4000, 2], force=True)\n", "print(d)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Lekérdezni az állandó fázisú pontokhoz tartozó adatokat lehetséges az `emit` függvénnyel, vagy akár egyszerűen `Dataset.delay` vagy `Dataset.positions` kiíratásával is:" ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Az emit függvénnyel a delay: [400. 400.]\n", "A Dataset.delay függvénnyel: [400. 400.]\n", "Az emit függvénnyel a pozíciók: [4000 2]\n", "A Dataset.positions függvénnyel a pozíciók: [4000 2]\n" ] } ], "source": [ "delay, positions = d.emit()\n", "\n", "print(\"Az emit függvénnyel a delay: \", delay)\n", "print(\"A Dataset.delay függvénnyel: \", d.delay)\n", "\n", "print(\"Az emit függvénnyel a pozíciók: \", positions)\n", "print(\"A Dataset.positions függvénnyel a pozíciók: \", d.positions)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Ekkor a `delay` pontosan ugyan olyan hosszú np.ndarray lesz, amilyen a `positions` volt, hiszen illesztésnél így kell kezelni." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "A `CosFitMethod`-nál hasznos `GD_lookup(reference_point, engine=\"cwt\", silent=False, **kwargs)` függvény elérhető már a `Dataset` osztályban is (így minden kiértékelési módszernél):" ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "The predicted GD is ± 527.51273 fs based on reference point of 0.\n" ] } ], "source": [ "d.GD_lookup(reference_point=0)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "A következő a `slice(start, stop)` függvény. Most az alsó határt szeretném 1.9 PHz-re állítani:" ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Dataset\n", "----------\n", "Parameters\n", "----------\n", "Datapoints: 1966\n", "Predicted domain: frequency\n", "Range: from 1.900 to 3.767 PHz\n", "Normalized: True\n", "Delay value: 400.0 fs\n", "SPP position(s): [4000 2] PHz\n", "----------------------------\n", "Metadata extracted from file\n", "----------------------------\n", "{\n", " \"fontos_adat_amit_be_akarok_allitani\": 20\n", "}\n" ] } ], "source": [ "d.slice(1.9, None) # A None változatlanul hagyja a határt. Például slice(None, 5) az alsó határt nem változtatja. \n", "print(d)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "A tárolt adatokat a `data` függvénnyel kaphatjuk meg. Ez `pandas.DataFrame` formájában kerül visszatérítésre." ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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" ], "text/plain": [ " x y\n", "0 3.767303 -0.866605\n", "1 3.765419 -0.151222\n", "2 3.763538 -0.084169\n", "3 3.761658 -0.634701\n", "4 3.759780 -0.999558\n", "... ... ...\n", "1961 1.901727 0.574217\n", "1962 1.901247 -0.833038\n", "1963 1.900767 0.858355\n", "1964 1.900287 0.986823\n", "1965 1.899808 0.527666\n", "\n", "[1966 rows x 2 columns]" ] }, "execution_count": 12, "metadata": {}, "output_type": "execute_result" } ], "source": [ "d.data" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Ebből konkrét értékeket `np.ndarray`-ként kinyerni a következőképpen lehet: " ] }, { "cell_type": "code", "execution_count": 13, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "[3.76730313 3.76541948 3.76353771 ... 1.90076703 1.9002874 1.89980801]\n" ] } ], "source": [ "x = d.data.x.values\n", "print(type(x))\n", "print(x)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Interaktív funkciók\n", "\n", "Az interaktív funkciók működéséhez a\n", "```python\n", "with ps.interactive():\n", " ...\n", "```\n", "függvénybe (contextmanagerbe) kell az adott kódrészletet írni. A `with` blokk belsejében minden plot új ablakban nyílik meg.\n", "Két interaktív funkciója van egy `Dataset` objektumnak, a `normalize`, illetve az `open_SPP_panel`. Amennyiben teljesen át szeretnénk váltani az *inline* plotokról, akkor a `ps.set_interactive()` függvénnyel tehetjük azt meg.\n", "\n", "A `normalize` függvénnyel elindítható a burkológörbék megtalálásán alapuló interaktív felület, az `open_SPP_panel`-ben pedig az állandó fázisú pontokhoz tartozó adatokat tudjuk rögzíteni." ] }, { "cell_type": "code", "execution_count": 14, "metadata": {}, "outputs": [], "source": [ "with ps.interactive():\n", " d.open_SPP_panel()" ] }, { "cell_type": "code", "execution_count": 15, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Dataset\n", "----------\n", "Parameters\n", "----------\n", "Datapoints: 1966\n", "Predicted domain: frequency\n", "Range: from 1.900 to 3.767 PHz\n", "Normalized: True\n", "Delay value: 48.0 fs\n", "SPP position(s): [2.56849175] PHz\n", "----------------------------\n", "Metadata extracted from file\n", "----------------------------\n", "{\n", " \"fontos_adat_amit_be_akarok_allitani\": 20\n", "}\n" ] } ], "source": [ "print(d) # véletlenszerű adatokat rögzítettem" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Az alábbi cellában a `normalize` függvény használom `inplace=False` módon, vagyis magát `d`-t változatlanul hagyja és visszaad egy új objektumot, amin az általam beállított normálást már elvégzi (ezt neveztem itt `g`-nek). A visszaadott objektum minden tulajdonságát örökölni fogja `d`-nek, így pl. a beállított SPP adatokat is:" ] }, { "cell_type": "code", "execution_count": 16, "metadata": {}, "outputs": [], "source": [ "with ps.interactive():\n", " g = d.normalize(inplace=False)" ] }, { "cell_type": "code", "execution_count": 17, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Dataset\n", "----------\n", "Parameters\n", "----------\n", "Datapoints: 1966\n", "Predicted domain: frequency\n", "Range: from 1.900 to 3.767 PHz\n", "Normalized: True\n", "Delay value: 48.0 fs\n", "SPP position(s): [2.56849175] PHz\n", "----------------------------\n", "Metadata extracted from file\n", "----------------------------\n", "{\n", " \"fontos_adat_amit_be_akarok_allitani\": 20\n", "}\n" ] } ], "source": [ "print(g)" ] }, { "cell_type": "code", "execution_count": 18, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "g.plot()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "A `with ps.interactive()` fontos minden interaktív elem használata előtt. Enélkül az újabb `normalize` hívás már hibát fog adni:" ] }, { "cell_type": "code", "execution_count": 19, "metadata": {}, "outputs": [ { "ename": "AttributeError", "evalue": "'NoneType' object has no attribute 'add_tool'", "output_type": "error", "traceback": [ "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", "\u001b[1;31mAttributeError\u001b[0m Traceback (most recent call last)", "\u001b[1;32m\u001b[0m in \u001b[0;36m\u001b[1;34m\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0md\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mnormalize\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m", "\u001b[1;32mc:\\pyt\\pysprint\\pysprint\\utils\\decorators.py\u001b[0m in \u001b[0;36mwrapper\u001b[1;34m(self, *args, **kwds)\u001b[0m\n\u001b[0;32m 77\u001b[0m \u001b[0minplace\u001b[0m \u001b[1;33m=\u001b[0m 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\u001b[0mmethod\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mcopy\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m*\u001b[0m\u001b[0margs\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mkwds\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", "\u001b[1;32mc:\\pyt\\pysprint\\pysprint\\core\\bases\\dataset.py\u001b[0m in \u001b[0;36mnormalize\u001b[1;34m(self, filename, smoothing_level)\u001b[0m\n\u001b[0;32m 1133\u001b[0m \u001b[1;32mif\u001b[0m \u001b[0msmoothing_level\u001b[0m \u001b[1;33m!=\u001b[0m \u001b[1;36m0\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 1134\u001b[0m \u001b[0mx\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0my\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0msavgol\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mx\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0my\u001b[0m\u001b[1;33m,\u001b[0m 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recording\"\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;34m\"toolgroup\"\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 54\u001b[0m )\n", "\u001b[1;31mAttributeError\u001b[0m: 'NoneType' object has no attribute 'add_tool'" ] }, { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "d.normalize()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Ezen kívül lehetőség van tetszőleges transzformációt végrehajtani az adatokon. Ehhez egy új adatsort használok a jobb láthatóság miatt." ] }, { "cell_type": "code", "execution_count": 20, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "x = np.linspace(1, 20, 20000)\n", "y = 9 * np.exp(-(x - 10)**4)\n", "\n", "f = ps.Dataset(x, y)\n", "f.plot()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Tetszőleges változtatást a `Dataset.transform(func, axis=None, args=None, kwargs=None)` függvénnyel érhetünk el. Vonjunk gyököt az `y` értékekből! Ehhez használjuk a `np.sqrt` függvényt. Könnyen ellenőrizhető a helyessége: a görbe maximuma a transzformáció után 9 helyett 3-nál van." ] }, { "cell_type": "code", "execution_count": 21, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "f.transform(np.sqrt, axis=\"y\")\n", "f.plot()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Lehetőség van bonyolult függvények alkalmazására is. Példaképpen készítek egyet:" ] }, { "cell_type": "code", "execution_count": 22, "metadata": {}, "outputs": [], "source": [ "def fuggveny(a, n, k=0.5):\n", " if a < n + k:\n", " return a\n", " else:\n", " return -a" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Két kötelező argumentuma van, `a` és `n`, egy keyword argumentuma van, `k`. Ezt a következőképpen lehet alkalmazni.\n", "\n", "`axis=\"y\"` : Az első argumentum helyére az `y` értékeket szeretném behelyettesíteni.\n", "\n", "`args=(1,)` : A többi kötelező argumentum értéke. Ebben az esetben úgy fordítódik le, hogy `n` legyen 1. A zárójel és a vessző fontos, mivel `tuple`-ként kell beírni.\n", "\n", "`kwargs={\"k\": 0}` : A keyword argumentumok közül a `k` legyen `0`. Ez kötelezően `dictionary`." ] }, { "cell_type": "code", "execution_count": 23, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "f.transform(fuggveny, args=(1,), kwargs={\"k\": 0}, axis=\"y\")\n", "f.plot()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Ez megtükrözte azon `y` értékeket, amik nagyobbak voltak, mint `1`." ] } ], "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": "3.7.6" } }, "nbformat": 4, "nbformat_minor": 4 }