Luis Medina luisdamed
luisdamed
/ matlab_time_series_plot.m
Last active
August 1, 2022 19:00
Matlab code to plot time series data from a csv file
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| %% Read the CSV file | |
| filename = 'test_FSCar_ddMMYYYY_TrackN_setupID2.csv' | |
| t = readtable(filename); | |
| %% Index non-empty values and extract time vector | |
| idx1 = ~isnan(t.spd_rpmFL); | |
| idx2 = ~isnan(t.spd_rpmFR); | |
| idx3 = ~isnan(t.trq_NmFL); |
luisdamed
/ python_time_series_plot.py
Last active
August 20, 2022 06:54
Python script example for plotting time series data from a csv file
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| #%% Import libraries and read file as dataframe | |
| import pandas as pd | |
| import numpy as np | |
| df = pd.read_csv('test_FSCar_ddMMYYYY_TrackN_setupID2.csv') | |
| #%% Index non-empty values and extract time vector | |
| idx1 = df.spd_rpmFL.notnull() | |
| idx2 = df.spd_rpmFR.notnull() |
luisdamed
/ histograms_comparison.py
Last active
August 12, 2022 14:39
Compare histograms of different data series by creating bar charts and adding some descriptive statistics to the figure
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| import pandas as pd | |
| df = pd.read_csv('test_FSCar_ddMMYYYY_TrackN_setupID2.csv') | |
| # Get statistics | |
| meanFL = df.trq_NmFL.mean() | |
| meanFR = df.trq_NmFR.mean() | |
| meanRL = df.trq_NmRL.mean() | |
| meanRR = df.trq_NmRR.mean() | |
| stdFL = df.trq_NmFL.std() |
luisdamed
/ histograms_comparison.m
Last active
August 12, 2022 14:38
Compare histograms of different data series from a CSV file by creating a bar chart and adding some text with descriptive statistics to the figure. Works with 2020a
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| %% Read the CSV file | |
| filename = 'test_FSCar_ddMMYYYY_TrackN_setupID2.csv' | |
| t = readtable(filename); | |
| %% Get statistics | |
| meanFL = mean(t.trq_NmFL, 'omitnan') | |
| meanFR = mean(t.trq_NmFR, 'omitnan') | |
| meanRL = mean(t.trq_NmRL, 'omitnan') | |
| meanRR = mean(t.trq_NmRR, 'omitnan') | |
| stdFL = std(t.trq_NmFL, 'omitnan') |
luisdamed
/ Thingiverse_API_runner.py
Last active
April 15, 2024 04:52
Collect data from Thingiverse.com REST API. You need to get an authorization token in order to use it - it is free.
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| #%% Thingiverse_API_runner | |
| # Import libraries and make a first request to get the data about the different categories | |
| from requests import Request, Session | |
| from requests.exceptions import ConnectionError, Timeout, TooManyRedirects | |
| import pandas as pd | |
| pd.set_option('display.max_columns', None) | |
| my_token = 'get yours at https://www.thingiverse.com/developers' |
luisdamed
/ Percentage_makes_Thingiverse_2022.svg
Created
March 3, 2023 05:25
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luisdamed
/ PieChart_Python_Pygal_Thingiverse_Categories_Condensed.svg
Created
March 3, 2023 05:35
Summary of the distribution of likes, makes and number of models for different categories of Thingiverse, as of October 2022
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luisdamed
/ PieChart_Python_Pygal_Thingiverse_Proportion_Makes_vs_Things.svg
Created
March 3, 2023 05:41
Pie chart showing the average number of makes for the models in each category of Thingiverse as of October 2022
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luisdamed
/ Driver_time_Plotly.html
Created
March 3, 2023 05:53
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| <html> | |
| <head><meta charset="utf-8" /></head> | |
| <body> | |
| <div> <script type="text/javascript">window.PlotlyConfig = {MathJaxConfig: 'local'};</script> | |
| <script type="text/javascript">/** | |
| * plotly.js v2.14.0 | |
| * Copyright 2012-2022, Plotly, Inc. | |
| * All rights reserved. | |
| * Licensed under the MIT license | |
| */ |
luisdamed
/ Speeds_at_start_of_braking.html
Created
March 3, 2023 05:56
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| <html> | |
| <head><meta charset="utf-8" /></head> | |
| <body> | |
| <script type="text/javascript">!function(t){if("object"==typeof exports&&"undefined"!=typeof module)module.exports=t();else if("function"==typeof define&&define.amd)define([],t);else{("undefined"!=typeof window?window:"undefined"!=typeof global?global:"undefined"!=typeof self?self:this).Plotly=t()}}((function(){return function t(e,r,n){function i(o,s){if(!r[o]){if(!e[o]){var l="function"==typeof require&&require;if(!s&&l)return l(o,!0);if(a)return a(o,!0);var c=new Error("Cannot find module '"+o+"'");throw c.code="MODULE_NOT_FOUND",c}var u=r[o]={exports:{}};e[o][0].call(u.exports,(function(t){return i(e[o][1][t]||t)}),u,u.exports,t,e,r,n)}return r[o].exports}for(var a="function"==typeof require&&require,o=0;o<n.length;o++)i(n[o]);return i}({1:[function(t,e,r){"use strict";var n=t("plotly.js/src/components/annotations"),i=t("plotly.js");n.add=function(t){var e=t._fullLayout.annotations.length;i.relayout(t,"annotations["+e+"]","ad |
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