Created
November 30, 2022 00:13
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A Jupyter notebook using pandas to process my list of VST3, VST, and AudioUnit plugins (as produced by Tracktion Waveform). Doing a bit of data cleanup.
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| { | |
| "cells": [ | |
| { | |
| "cell_type": "code", | |
| "execution_count": 1, | |
| "id": "210bece6-267b-41d0-915c-1ae0a360d6e1", | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/html": [ | |
| "<div>\n", | |
| "<style scoped>\n", | |
| " .dataframe tbody tr th:only-of-type {\n", | |
| " vertical-align: middle;\n", | |
| " }\n", | |
| "\n", | |
| " .dataframe tbody tr th {\n", | |
| " vertical-align: top;\n", | |
| " }\n", | |
| "\n", | |
| " .dataframe thead th {\n", | |
| " text-align: right;\n", | |
| " }\n", | |
| "</style>\n", | |
| "<table border=\"1\" class=\"dataframe\">\n", | |
| " <thead>\n", | |
| " <tr style=\"text-align: right;\">\n", | |
| " <th></th>\n", | |
| " <th>name</th>\n", | |
| " <th>manufacturer</th>\n", | |
| " <th>category</th>\n", | |
| " <th>AU</th>\n", | |
| " <th>VST</th>\n", | |
| " <th>VST3</th>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tbody>\n", | |
| " <tr>\n", | |
| " <th>8</th>\n", | |
| " <td>2B Shaped</td>\n", | |
| " <td>2B Played Music</td>\n", | |
| " <td>Effect</td>\n", | |
| " <td>AudioUnit</td>\n", | |
| " <td></td>\n", | |
| " <td>VST3</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>5</th>\n", | |
| " <td>2B Delayed Classic</td>\n", | |
| " <td>2B Played Music</td>\n", | |
| " <td>Effect</td>\n", | |
| " <td>AudioUnit</td>\n", | |
| " <td></td>\n", | |
| " <td>VST3</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>6</th>\n", | |
| " <td>2B Filtered</td>\n", | |
| " <td>2B Played Music</td>\n", | |
| " <td>Effect</td>\n", | |
| " <td>AudioUnit</td>\n", | |
| " <td></td>\n", | |
| " <td></td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>7</th>\n", | |
| " <td>2B Reverbed</td>\n", | |
| " <td>2B Played Music</td>\n", | |
| " <td>Effect</td>\n", | |
| " <td>AudioUnit</td>\n", | |
| " <td></td>\n", | |
| " <td>VST3</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>1300</th>\n", | |
| " <td>TickyClav</td>\n", | |
| " <td>2getheraudio</td>\n", | |
| " <td>Synth</td>\n", | |
| " <td>AudioUnit</td>\n", | |
| " <td></td>\n", | |
| " <td></td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>...</th>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>838</th>\n", | |
| " <td>Orange Dreams</td>\n", | |
| " <td>ZAK Sound</td>\n", | |
| " <td>Synth</td>\n", | |
| " <td>AudioUnit</td>\n", | |
| " <td></td>\n", | |
| " <td>VST3</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>1033</th>\n", | |
| " <td>Retro Keys VII</td>\n", | |
| " <td>ZAK Sound</td>\n", | |
| " <td>Instrument</td>\n", | |
| " <td></td>\n", | |
| " <td></td>\n", | |
| " <td>VST3</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>377</th>\n", | |
| " <td>Downtown Colors</td>\n", | |
| " <td>ZAK Sound</td>\n", | |
| " <td>Synth</td>\n", | |
| " <td>AudioUnit</td>\n", | |
| " <td></td>\n", | |
| " <td></td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>1068</th>\n", | |
| " <td>STFU</td>\n", | |
| " <td>ZEEK</td>\n", | |
| " <td>Effect</td>\n", | |
| " <td>AudioUnit</td>\n", | |
| " <td></td>\n", | |
| " <td>VST3</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>1545</th>\n", | |
| " <td>vielklang2CM</td>\n", | |
| " <td>zplane</td>\n", | |
| " <td>Synth</td>\n", | |
| " <td>AudioUnit</td>\n", | |
| " <td></td>\n", | |
| " <td></td>\n", | |
| " </tr>\n", | |
| " </tbody>\n", | |
| "</table>\n", | |
| "<p>1546 rows × 6 columns</p>\n", | |
| "</div>" | |
| ], | |
| "text/plain": [ | |
| " name manufacturer category AU VST VST3\n", | |
| "8 2B Shaped 2B Played Music Effect AudioUnit VST3\n", | |
| "5 2B Delayed Classic 2B Played Music Effect AudioUnit VST3\n", | |
| "6 2B Filtered 2B Played Music Effect AudioUnit \n", | |
| "7 2B Reverbed 2B Played Music Effect AudioUnit VST3\n", | |
| "1300 TickyClav 2getheraudio Synth AudioUnit \n", | |
| "... ... ... ... ... .. ...\n", | |
| "838 Orange Dreams ZAK Sound Synth AudioUnit VST3\n", | |
| "1033 Retro Keys VII ZAK Sound Instrument VST3\n", | |
| "377 Downtown Colors ZAK Sound Synth AudioUnit \n", | |
| "1068 STFU ZEEK Effect AudioUnit VST3\n", | |
| "1545 vielklang2CM zplane Synth AudioUnit \n", | |
| "\n", | |
| "[1546 rows x 6 columns]" | |
| ] | |
| }, | |
| "execution_count": 1, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "import pandas as pd\n", | |
| "import numpy as np\n", | |
| "cols = ['uniqueId', 'name', 'format', 'category', 'manufacturer']\n", | |
| "plugs = pd.read_xml('knownPluginList64.xml')[cols]\n", | |
| "plugs.set_index('uniqueId')\n", | |
| "plugs['manufacturerlower']=plugs['manufacturer'].str.lower()\n", | |
| "\n", | |
| "# Combine rows on strict match\n", | |
| "plugoutstrict=plugs.groupby(['name','manufacturerlower'],as_index=False).agg({'manufacturer':'first','format':list,'category':'first'})\n", | |
| "plugoutstrict=plugoutstrict.join(pd.DataFrame(plugoutstrict.pop('format').tolist()))\n", | |
| "plugoutstrict['AU']= np.where((plugoutstrict[0]=='AudioUnit')|(plugoutstrict[1]=='AudioUnit')|(plugoutstrict[2]=='AudioUnit')|(plugoutstrict[3]=='AudioUnit'), \"AudioUnit\", \"\")\n", | |
| "plugoutstrict['VST']= np.where((plugoutstrict[0]=='VST')|(plugoutstrict[1]=='VST')|(plugoutstrict[2]=='VST')|(plugoutstrict[3]=='VST'), \"VST\", \"\")\n", | |
| "plugoutstrict['VST3']= np.where((plugoutstrict[0]=='VST3')|(plugoutstrict[1]=='VST3')|(plugoutstrict[2]=='VST3')|(plugoutstrict[3]=='VST3'), \"VST3\", \"\")\n", | |
| "plugoutstrict.sort_values('manufacturerlower',inplace=True)\n", | |
| "plugoutstrict.drop(['manufacturerlower',0,1,2,3],axis=1, inplace=True)\n", | |
| "plugoutstrict.to_csv(\"PluginsListStrict.csv\")\n", | |
| "\n", | |
| "# Cleanup\n", | |
| "plugs.replace('Doubler2', 'Doublers', inplace=True)\n", | |
| "plugs.replace('Doubler4', 'Doublers', inplace=True)\n", | |
| "plugs.replace('kHs Stereo', 'kHs_Stereo', inplace=True)\n", | |
| "plugs.replace('Paul Ferrand', 'Sfzt', inplace=True)\n", | |
| "plugs.replace('Matt Tytel', 'Vital Audio', inplace=True)\n", | |
| "plugs.replace('Mixed In Key LLC', 'Mixed In Key', inplace=True)\n", | |
| "plugs.replace('iZotope, Inc.', 'iZotope', inplace=True)\n", | |
| "plugs.replace('Plogue Art et Technologie, Inc', 'Plogue Art et Technologie', inplace=True)\n", | |
| "plugs.replace('Voice-Changer', 'Voice Changer', inplace=True)\n", | |
| "plugs.replace(to_replace=' \\(m\\)$', value='', regex=True, inplace=True)\n", | |
| "plugs.replace(to_replace=' \\(s\\)$', value='', regex=True, inplace=True)\n", | |
| "plugs.replace(to_replace=' \\(m->s\\)$', value='', regex=True, inplace=True)\n", | |
| "plugs.replace(to_replace=' \\(0->2\\)$', value='', regex=True, inplace=True)\n", | |
| "plugs.replace(to_replace=' Mono/Stereo$', value='', regex=True, inplace=True)\n", | |
| "plugs.replace(to_replace=' Stereo$', value='', regex=True, inplace=True)\n", | |
| "plugs.replace(to_replace=' Mono$', value='', regex=True, inplace=True)\n", | |
| "plugs['name'] = np.where(plugs['name'] =='Wider', plugs['name'].str.cat(plugs['manufacturer'], sep=\" \"), plugs['name'])\n", | |
| "plugs['name'] = np.where(plugs['name'] =='DeBreath', plugs['name'].str.cat(plugs['manufacturer'], sep=\" \"), plugs['name'])\n", | |
| "plugs['name'] = np.where(plugs['name'] =='Surge', plugs['name'].str.cat(plugs['manufacturer'], sep=\" \"), plugs['name'])\n", | |
| "plugs['name'] = np.where(plugs['name'] =='Fracture', plugs['name'].str.cat(plugs['manufacturer'], sep=\" \"), plugs['name'])\n", | |
| "\n", | |
| "# Combine cleaned up rows on name-only match\n", | |
| "plugout=plugs.groupby('name',as_index=False).agg({'manufacturer':'first','manufacturerlower':'first','format':list,'category':'first'})\n", | |
| "plugout=plugout.join(pd.DataFrame(plugout.pop('format').tolist()))\n", | |
| "plugout['AU']= np.where((plugout[0]=='AudioUnit')|(plugout[1]=='AudioUnit')|(plugout[2]=='AudioUnit')|(plugout[3]=='AudioUnit')|(plugout[4]=='AudioUnit')|(plugout[5]=='AudioUnit')|(plugout[6]=='AudioUnit')|(plugout[7]=='AudioUnit')|(plugout[8]=='AudioUnit'), \"AudioUnit\", \"\")\n", | |
| "plugout['VST']= np.where((plugout[0]=='VST')|(plugout[1]=='VST')|(plugout[2]=='VST')|(plugout[3]=='VST')|(plugout[4]=='VST')|(plugout[5]=='VST')|(plugout[6]=='VST')|(plugout[7]=='VST')|(plugout[8]=='VST'), \"VST\", \"\")\n", | |
| "plugout['VST3']= np.where((plugout[0]=='VST3')|(plugout[1]=='VST3')|(plugout[2]=='VST3')|(plugout[3]=='VST3')|(plugout[4]=='VST3')|(plugout[5]=='VST3')|(plugout[6]=='VST3')|(plugout[7]=='VST3')|(plugout[8]=='VST3'), \"VST3\", \"\")\n", | |
| "\n", | |
| "# Prepare list\n", | |
| "plugout.sort_values('manufacturerlower',inplace=True)\n", | |
| "plugout.drop(['manufacturerlower',0,1,2,3,4,5,6,7,8],axis=1, inplace=True)\n", | |
| "plugout.to_csv(\"PluginsList.csv\")\n", | |
| "\n", | |
| "# Find differences between strict match and name only\n", | |
| "plugdif=pd.concat([plugoutstrict,plugout]).drop_duplicates(keep=False)\n", | |
| "plugdif.to_csv(\"PluginsListDif.csv\")\n", | |
| "\n", | |
| "plugout" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": null, | |
| "id": "84213abe-1759-4cc2-9e74-195b20f89953", | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [] | |
| } | |
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| "metadata": { | |
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| "display_name": "Python 3 (ipykernel)", | |
| "language": "python", | |
| "name": "python3" | |
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| "language_info": { | |
| "codemirror_mode": { | |
| "name": "ipython", | |
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| "nbconvert_exporter": "python", | |
| "pygments_lexer": "ipython3", | |
| "version": "3.10.8" | |
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| "nbformat_minor": 5 | |
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