code running test

Non Code Runner Vs Code Runner

Not runnable:

print("hello world")

Runnable

Python

print("hello world")

Output

---

Workspace Remember Test

Python

x = 1 y = 2 def add(x,y): return x+y

Output

Python

z = add(x,y) print("we got " + z)

Output

title test

quartz.layout.ts

console.log("hello")

matplotlib test m

Python

import matplotlib.pyplot as plt import numpy as np # Define the function f(x) and its derivative f'(x) def f(x): return np.sin(x) # Example of a function with a local max and min def df(x): return np.cos(x) # Derivative of sin(x) # Create x values x_vals = np.linspace(0, 2 * np.pi, 500) # Points of local max and min (pi/2 and 3pi/2 for sin(x)) x_max = np.pi / 2 x_min = 3 * np.pi / 2 y_max = f(x_max) y_min = f(x_min) # Tangent lines at local max and min tangent_max_x = np.linspace(x_max - 1, x_max + 1, 100) tangent_max_y = df(x_max) * (tangent_max_x - x_max) + y_max tangent_min_x = np.linspace(x_min - 1, x_min + 1, 100) tangent_min_y = df(x_min) * (tangent_min_x - x_min) + y_min # Create plot plt.figure(figsize=(6, 6)) plt.plot(x_vals, f(x_vals), label=r'$f(x) = \sin(x)$', color='black') # Plot points of local max and min plt.scatter([x_max, x_min], [y_max, y_min], color='black', zorder=5) # Plot tangent lines plt.plot(tangent_max_x, tangent_max_y, color='red', linestyle='-', linewidth=2) plt.plot(tangent_min_x, tangent_min_y, color='red', linestyle='-', linewidth=2) # Add labels and title plt.text(x_max + 0.1, y_max + 0.01, 'Local Max', fontsize=12) plt.text(x_min + 0.1, y_min - 0.3, 'Local Min', fontsize=12) plt.title(r'Demonstration of Local Max and Min of $f(x) = \sin(x)$') # Add axes plt.axhline(0, color='black',linewidth=0.5) plt.axvline(0, color='black',linewidth=0.5) # Show plot plt.show()

Output

Pandas URL Stuff

Python

import pandas as pd from pyodide.http import open_url url = "https://gassandrid.xyz/datasets/housing.csv" try: data = pd.read_csv(open_url(url)) print(data.head()) # Print the first few rows to verify except Exception as e: print(f"An error occurred: {e}")

Output

---

Animate and 3d Tests

Python

import numpy as np import matplotlib.pyplot as plt from matplotlib.animation import FuncAnimation from mpl_toolkits.mplot3d import Axes3D # Set up the figure fig = plt.figure(figsize=(10, 8)) ax = fig.add_subplot(111, projection='3d') # Constants (in astronomical units) AU = 149.6e6 # 1 AU in kilometers EARTH_DISTANCE = 1.0 # Earth's distance from Sun (1 AU) MARS_DISTANCE = 1.524 # Mars' distance from Sun (1.524 AU) # Create orbit paths theta = np.linspace(0, 2*np.pi, 1000) # Earth's orbit earth_x = EARTH_DISTANCE * np.cos(theta) earth_y = EARTH_DISTANCE * np.sin(theta) earth_z = np.zeros_like(theta) # Mars' orbit mars_x = MARS_DISTANCE * np.cos(theta) mars_y = MARS_DISTANCE * np.sin(theta) mars_z = np.zeros_like(theta) # Plot the Sun ax.scatter([0], [0], [0], color='yellow', s=300, label='Sun') # Plot Earth's orbit ax.plot(earth_x, earth_y, earth_z, color='blue', linestyle='dashed', alpha=0.7) # Plot Mars's orbit ax.plot(mars_x, mars_y, mars_z, color='red', linestyle='dashed', alpha=0.7) # Starting positions (arbitrarily chosen for visualization) earth_pos = np.radians(0) # Earth starting position mars_pos = np.radians(44) # Mars at position for optimal transfer # Plot Earth and Mars earth = ax.scatter( EARTH_DISTANCE * np.cos(earth_pos), EARTH_DISTANCE * np.sin(earth_pos), 0, color='blue', s=100, label='Earth' ) mars = ax.scatter( MARS_DISTANCE * np.cos(mars_pos), MARS_DISTANCE * np.sin(mars_pos), 0, color='red', s=80, label='Mars' ) # Calculate transfer orbit (Hohmann transfer) # Semi-major axis of the transfer orbit a_transfer = (EARTH_DISTANCE + MARS_DISTANCE) / 2 # Eccentricity of the transfer orbit ecc = (MARS_DISTANCE - EARTH_DISTANCE) / (MARS_DISTANCE + EARTH_DISTANCE) # Create transfer orbit path transfer_theta = np.linspace(0, np.pi, 1000) # Half an ellipse transfer_r = a_transfer * (1 - ecc**2) / (1 + ecc * np.cos(transfer_theta)) transfer_x = transfer_r * np.cos(transfer_theta) transfer_y = transfer_r * np.sin(transfer_theta) transfer_z = np.zeros_like(transfer_theta) # Rotate the transfer orbit to match Earth's departure position rotation_angle = earth_pos rotation_matrix = np.array([ [np.cos(rotation_angle), -np.sin(rotation_angle), 0], [np.sin(rotation_angle), np.cos(rotation_angle), 0], [0, 0, 1] ]) rotated_points = np.dot(rotation_matrix, np.vstack([transfer_x, transfer_y, transfer_z])) transfer_x, transfer_y, transfer_z = rotated_points # Plot transfer orbit ax.plot(transfer_x, transfer_y, transfer_z, color='green', linewidth=2, label='Transfer Orbit') # Calculate spacecraft trajectory points for animation num_frames = 100 spacecraft_x = transfer_x[::10][:num_frames] # Sample points along transfer orbit spacecraft_y = transfer_y[::10][:num_frames] spacecraft_z = transfer_z[::10][:num_frames] # Initial spacecraft point spacecraft = ax.scatter( spacecraft_x[0], spacecraft_y[0], spacecraft_z[0], color='white', edgecolor='black', s=80, label='Spacecraft' ) # Trajectory line (will be updated during animation) trajectory, = ax.plot([], [], [], color='green', linewidth=1, alpha=0.5) # Set plot limits and labels ax.set_xlim(-2, 2) ax.set_ylim(-2, 2) ax.set_zlim(-0.5, 0.5) ax.set_xlabel('X (AU)') ax.set_ylabel('Y (AU)') ax.set_zlabel('Z (AU)') ax.set_title('Earth to Mars Trajectory') # Add legend ax.legend(loc='upper right') # Animation update function def update(frame): # Update spacecraft position spacecraft._offsets3d = ([spacecraft_x[frame]], [spacecraft_y[frame]], [spacecraft_z[frame]]) # Update trajectory line trajectory.set_data(spacecraft_x[:frame+1], spacecraft_y[:frame+1]) trajectory.set_3d_properties(spacecraft_z[:frame+1]) return spacecraft, trajectory # Create animation ani = FuncAnimation(fig, update, frames=num_frames, interval=50, blit=False) # Add text indicating travel time ax.text2D(0.05, 0.95, "Travel Time: ~9 months", transform=ax.transAxes) plt.tight_layout() plt.show()

Output