I used ChatGPT (3.5 and 4) to write an equation game for kids. In this article, I will refer to the overall system as ChatGPT, and if I like to draw focus to the specific version used, I will mention GPT3.5 or GPT4.
| // | |
| // SampleGestureView.swift | |
| // StickerPaste | |
| // | |
| // Created by Charel Felten on 25/09/2022. | |
| // | |
| import SwiftUI | |
| struct SampleGestureView: View { |
| df = pd.read_csv(files[1], sep="\s+") | |
| df.columns = ["x", "xxx", "y"] | |
| df.drop(columns="xxx", inplace=True) | |
| plt.figure(figsize=(10,5)) | |
| plt.scatter(df.x, df.y, alpha=0.4, linewidths=0, color="blue") | |
| def f(x, w0, i0, x0): | |
| return 0.5 * i0 * (1 + erf(2**0.5 * (x0-x) / w0)) | |
Small guide on the most easy way to use Minion Pro in Overleaf, avoiding all the uncessary / outdated steps (such as e.g. using the MinionPro package, which does not work in Overleaf, or dealing with .sty files)
Follow these steps if you dont have Minion Pro yet.
/Applications/Adobe Acrobat Reader DC.app/Contents/Resources/Resource/Font. On other operating systems its probably similar.| y = np.array([0.09, 0.06, 0.18, 0.004, 0.14, 0.07, 0.08, 0.19]) | |
| x = np.array([0.06, 0.09, 0.006, 0.5, 0.02, 0.06, 0.07, 0.003]) | |
| idx = np.argsort(x) | |
| x = x[idx] | |
| y = y[idx] | |
| x = np.log(x) | |
| z = np.polyfit(x, y, 1) | |
| p = np.poly1d(z) |
krüger-gauge-circular-chart is an addition to the gauge-circular-chart. The added feature is another data dimension the chart, by adjusting the bar width of each bar seperately.
The data passed is from the Netherlands with the first element the age at which the animals are slaughtered, the second element the amount of animals slaughtered the main difference between a krüger-gauge-circular-chart and a bar chart with variable bar width is the functionality of display. a bar chart displays the whole amount as an area (A = length * width), which makes sense when the two variables are compatible to multiply (e.g. per Capita CO2 emissions and number of people). However, as seen in the hypothetical data above, this chart type is not compatible, as the interesting fact is not the whole amount of years lived by the animals, but the comparison of amount of animals slaughtered and their age.
from kgc_chart import krueger_gauge_circular_chart as kgc_chart| import matplotlib.pyplot as plt | |
| import numpy as np | |
| xx, yy = np.meshgrid(np.linspace(0, 11*np.pi, 100), np.linspace(0, 11*np.pi, 100)) | |
| X = np.exp(np.sin(xx) + np.cos(yy)) + np.sqrt(xx*yy*0.4) | |
| plt.figure(figsize=(10,10), dpi=100) | |
| plt.imshow(X, cmap="afmhot", interpolation="Gaussian") | |
| plt.show() |
| problemStart,auction | |
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