Just Run Code

# This Python code runs entirely in the browser. It does not need internet.

#

# You can use numpy, pandas, matplotlib and seaborn. display_dataframe() shows interactive tables.

# You can read and write to files, and send requests.

# You can give feedback at superdm.com/deedy

import matplotlib.pyplot as plt

import seaborn as sns

import pandas as pd

import numpy as np

import io

import base64

​

solarized = {

    'base03': '#002b36', 'base02': '#073642', 'base01': '#586e75', 'base00': '#657b83',

    'base0': '#839496', 'base1': '#93a1a1', 'base2': '#eee8d5', 'base3': '#fdf6e3',

    'yellow': '#b58900', 'orange': '#cb4b16', 'red': '#dc322f', 'magenta': '#d33682',

    'violet': '#6c71c4', 'blue': '#268bd2', 'cyan': '#2aa198', 'green': '#859900'

}

​

# Set the style and context for Seaborn

sns.set_style("darkgrid", {"axes.facecolor": solarized['base03']})

sns.set_context("notebook", font_scale=1.5, rc={"lines.linewidth": 2.5})

plt.rcParams['text.color'] = solarized['base0']

plt.rcParams['axes.labelcolor'] = solarized['base0']

plt.rcParams['xtick.color'] = solarized['base0']

plt.rcParams['ytick.color'] = solarized['base0']

​

# Create DataFrame

years = np.linspace(2000, 2030, 1000)

ai_progress = np.exp((years - 2000) / 8) - 1  # Exponential growth

other_stuff = np.sin((years - 2000) / 2) * 10 + 10  # Sine wave with offset

​

df = pd.DataFrame({

    'Year': years,

    'AI Progress': ai_progress,