Recap: You Did It!#

You have learned how to:

• Create 3D scatter plots, lines, and surfaces.
• Animate charts in 2D and 3D.
• Use real datasets for scientific and weather patterns.
• Add extra style, save your work, and solve common errors.
• If plots do not show, try running %matplotlib inline again.
• Check your spelling of column names and functions.
• Animations sometimes do not show unless you run Notebook cells slowly.

Save your figures if you want to keep them!

ax.scatter(years, sun, trend, c=sun, cmap='coolwarm', marker='^') ax.set_xlabel('Year') ax.set_ylabel('Sunspots') ax.set_zlabel('Trend') ax.view_init(elev=30, azim=140) plt.title('Custom 3D Sunspots View') plt.show()

ax.set_xlabel('Year') ax.set_ylabel('Sunspots') ax.set_zlabel('Trend')

def animate3d(i): ax.clear() ax.set_xlabel('Year') ax.set_ylabel('Sunspots') ax.set_zlabel('Trend') ax.set_title('Animated 3D Sunspots Scatter') ax.scatter(years[:i], sun[:i], trend[:i], c=sun[:i], cmap='plasma')

ani3d = animation.FuncAnimation(fig, animate3d, frames=len(years)//20, interval=30, blit=False) plt.show()

ax.set_xlim(years.min(), years.max()) ax.set_ylim(sun.min(), sun.max()) line, = ax.plot([], [], lw=2) ax.set_title('Monthly Sunspot Animation') ax.set_xlabel('Year') ax.set_ylabel('Mean Sunspots')

def init(): line.set_data([], []) ## Next Steps & YouTube

Keep practicing: try different datasets, styles, or variables.

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temp_df = pd.read_csv(daily_url) temp_df['Date'] = pd.to_datetime(temp_df['Date']) temp_df['Month'] = temp_df['Date'].dt.month monthly_avg = temp_df.groupby('Month')['Temp'].mean()

3D Surface: Seasons vs. Day vs. Temp#

X2, Y2 = np.meshgrid(np.arange(1,13), np.arange(1,32)) Z2 = np.zeros_like(X2, dtype=float) for m in range(1,13): days = temp_df[temp_df['Month']==m] for d in range(1,32): vals = days[days['Date'].dt.day==d]['Temp'] if not vals.empty: Z2[d-1, m-1] = vals.mean()

Plot 3D surface for average temperature#

fig = plt.figure(figsize=(10,6)) ax = fig.add_subplot(111, projection='3d') surf = ax.plot_surface(X2, Y2, Z2, cmap='winter', edgecolor='none') ax.set_xlabel('Month') ax.set_ylabel('Day') ax.set_zlabel('Avg Temp (C)') plt.title('Seasonal 3D Temperature Surface (Melbourne, 1981-1990)') plt.colorbar(surf, shrink=0.5, aspect=10) plt.show()

plt.title('3D Line: Sunspots History Curve') plt.show() Examples are surfaces (like hills), climate maps, or showing cycles over time. ax = fig.add_subplot(111, projection='3d') years = ds['YEAR'] + (ds['MONTH']-1)/12 sun = ds['SUNACTIVITY'] trend = np.linspace(sun.min(), sun.max(), len(sun)) ax.scatter(years, sun, trend, c=sun, cmap='plasma', marker='o') ax.set_xlabel('Year') ax.set_ylabel('Sunspots') ax.set_zlabel('Trend') plt.title('3D Scatter Plot of Sunspot Data') plt.show()

Look at the shape and first few rows#

print("Shape:", ds.shape) ds.head() Let us load the data and take a quick look before plotting.

import pandas as pd import numpy as np import matplotlib.pyplot as plt from mpl_toolkits.mplot3d import Axes3D from matplotlib import animation

Enable plots to show inside the notebook#

%matplotlib inline

• How to make 3D plots in Python.
• Where to find and load real datasets.
• Simple ways to animate your charts.
• Some tips to make your plots clearer and more fun.

First look: Plot sunspot numbers over time#

plt.figure(figsize=(10,4)) plt.plot(ds['YEAR'] + (ds['MONTH']-1)/12, ds['SUNACTIVITY']) plt.xlabel('Year') plt.ylabel('Mean Sunspots')

Extra: Animate the temperature surface by month#

fig = plt.figure(figsize=(8,6)) ax = fig.add_subplot(111, projection='3d')

def surface_anim(i): ax.clear() ax.set_xlabel('Month') ax.set_ylabel('Day') ax.set_zlabel('Avg Temp (C)') ax.set_title(f'Month {i+1}') surf = ax.plot_surface(X2[:,i:i+1], Y2[:,i:i+1], Z2[:,i:i+1], cmap='autumn', edgecolor='k')

ani_temp = animation.FuncAnimation(fig, surface_anim, frames=12, interval=500, blit=False) plt.show() x = np.linspace(0, 20, 100) y = np.linspace(0, 10, 80) X, Y = np.meshgrid(x, y) Z = np.sin(X) * np.cos(Y) fig = plt.figure(figsize=(8,6)) ax = fig.add_subplot(111, projection='3d') surf = ax.plot_surface(X, Y, Z, cmap='viridis') plt.title('3D Surface Example') fig.colorbar(surf, shrink=0.5, aspect=10) plt.show()