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Update src/streamlit_app.py
Browse files- src/streamlit_app.py +172 -38
src/streamlit_app.py
CHANGED
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@@ -1,8 +1,8 @@
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import streamlit as st
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import numpy as np
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import matplotlib.pyplot as plt
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import plotly.graph_objects as go
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import plotly.express as px
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from kinematics_visualizer import Motion1D, Motion2D, KinematicsVisualizer
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# Configure Streamlit page
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@@ -70,13 +70,6 @@ def main():
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["1D Motion", "2D Projectile Motion", "Compare Motions"]
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)
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# Clear matplotlib figures when switching tabs to prevent cross-contamination
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if 'current_tab' not in st.session_state:
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st.session_state.current_tab = tutorial_type
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elif st.session_state.current_tab != tutorial_type:
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plt.close('all') # Clear all figures when switching tabs
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st.session_state.current_tab = tutorial_type
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-
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if tutorial_type == "1D Motion":
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show_1d_motion()
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elif tutorial_type == "2D Projectile Motion":
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@@ -84,6 +77,135 @@ def main():
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elif tutorial_type == "Compare Motions":
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show_motion_comparison()
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def show_1d_motion():
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st.markdown('<div class="section-header">📏 One-Dimensional Motion</div>', unsafe_allow_html=True)
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@@ -171,11 +293,9 @@ def show_1d_motion():
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else:
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motion_type = "Constant Velocity Motion"
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fig =
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st.pyplot(fig)
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plt.close()
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def show_2d_motion():
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st.markdown('<div class="section-header">🎯 Two-Dimensional Projectile Motion</div>', unsafe_allow_html=True)
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st.markdown("---")
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# Launch parameter presets and sliders (same as before)
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# ... [include all the existing preset and slider code] ...
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# Initialize default values
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default_speed = 25.0
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default_angle = 45.0
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with col2:
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# Create and display trajectory with model info
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visualizer = KinematicsVisualizer()
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model_info = f"({'Sphere' if is_sphere else 'Point Mass'})"
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air_info = " (with Air Resistance)" if air_resistance_enabled else " (No Air Resistance)"
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trajectory_title = f"Projectile Motion - {launch_angle:.0f}° Launch {model_info}{air_info}"
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-
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# Show model comparison if using sphere
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if is_sphere and 'mass_g' in info:
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st.markdown("### 📊 Sphere vs Point Mass Comparison")
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-
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# Plot sphere model
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data_sphere = motion.trajectory_data(motion.calculate_flight_time())
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# Plot equivalent point mass
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motion_point = Motion2D(
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is_sphere=False
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)
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data_point = motion_point.trajectory_data(motion_point.calculate_flight_time())
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-
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import plotly.express as px
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def show_motion_comparison():
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st.markdown('<div class="section-header">📊 Compare Different Trajectories</div>', unsafe_allow_html=True)
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fig.update_xaxes(range=[0, None])
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fig.update_yaxes(range=[0, None])
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return fig, trajectories_data
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# Create cached comparison data
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import streamlit as st
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import numpy as np
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import plotly.graph_objects as go
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import plotly.express as px
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from plotly.subplots import make_subplots
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from kinematics_visualizer import Motion1D, Motion2D, KinematicsVisualizer
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# Configure Streamlit page
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["1D Motion", "2D Projectile Motion", "Compare Motions"]
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)
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if tutorial_type == "1D Motion":
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show_1d_motion()
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elif tutorial_type == "2D Projectile Motion":
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elif tutorial_type == "Compare Motions":
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show_motion_comparison()
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def create_1d_motion_plot(motion: Motion1D, duration: float, title: str):
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"""Create 1D motion plots using Plotly"""
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# Generate time arrays
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t, x, v, a = motion.time_arrays(duration, dt=0.01)
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# Create subplots
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fig = make_subplots(
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rows=3, cols=1,
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subplot_titles=('Position vs Time', 'Velocity vs Time', 'Acceleration vs Time'),
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vertical_spacing=0.08,
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shared_xaxes=True
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)
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# Position plot
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fig.add_trace(
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go.Scatter(x=t, y=x, mode='lines', name='Position',
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line=dict(color='blue', width=3),
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hovertemplate='Time: %{x:.1f} s<br>Position: %{y:.1f} m<extra></extra>'),
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row=1, col=1
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)
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# Velocity plot
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fig.add_trace(
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go.Scatter(x=t, y=v, mode='lines', name='Velocity',
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line=dict(color='red', width=3),
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hovertemplate='Time: %{x:.1f} s<br>Velocity: %{y:.1f} m/s<extra></extra>'),
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row=2, col=1
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)
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# Acceleration plot
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fig.add_trace(
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go.Scatter(x=t, y=a, mode='lines', name='Acceleration',
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line=dict(color='green', width=3),
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hovertemplate='Time: %{x:.1f} s<br>Acceleration: %{y:.1f} m/s²<extra></extra>'),
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row=3, col=1
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)
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# Update layout
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fig.update_layout(
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title=dict(text=title, font=dict(size=18)),
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showlegend=False,
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height=800,
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template='plotly_white'
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)
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# Update y-axis labels
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fig.update_yaxes(title_text="Position (m)", row=1, col=1)
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fig.update_yaxes(title_text="Velocity (m/s)", row=2, col=1)
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fig.update_yaxes(title_text="Acceleration (m/s²)", row=3, col=1)
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fig.update_xaxes(title_text="Time (s)", row=3, col=1)
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# Add grid
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fig.update_xaxes(showgrid=True, gridwidth=1, gridcolor='rgba(128,128,128,0.3)')
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fig.update_yaxes(showgrid=True, gridwidth=1, gridcolor='rgba(128,128,128,0.3)')
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return fig
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def create_2d_trajectory_plot(motion: Motion2D, title: str):
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"""Create 2D trajectory plot using Plotly"""
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flight_time = motion.calculate_flight_time()
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data = motion.trajectory_data(flight_time)
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fig = go.Figure()
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# Add trajectory line
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fig.add_trace(go.Scatter(
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x=data['x'],
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y=data['y'],
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mode='lines',
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name='Trajectory',
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line=dict(color='blue', width=4),
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hovertemplate='X: %{x:.1f} m<br>Y: %{y:.1f} m<extra></extra>'
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))
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# Add launch point
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fig.add_trace(go.Scatter(
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x=[motion.launch_x],
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y=[motion.launch_height],
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mode='markers',
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name='Launch Point',
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marker=dict(color='green', size=12, symbol='circle'),
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hovertemplate='Launch<br>X: %{x:.1f} m<br>Y: %{y:.1f} m<extra></extra>'
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))
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# Add landing point
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if len(data['x']) > 0:
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fig.add_trace(go.Scatter(
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x=[data['x'][-1]],
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y=[data['y'][-1]],
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mode='markers',
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name='Landing Point',
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marker=dict(color='red', size=12, symbol='square'),
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hovertemplate='Landing<br>X: %{x:.1f} m<br>Y: %{y:.1f} m<extra></extra>'
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))
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# Add maximum height point
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max_height_idx = np.argmax(data['y'])
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if max_height_idx > 0:
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fig.add_trace(go.Scatter(
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x=[data['x'][max_height_idx]],
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y=[data['y'][max_height_idx]],
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mode='markers',
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name='Max Height',
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marker=dict(color='orange', size=10, symbol='triangle-up'),
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hovertemplate='Max Height<br>X: %{x:.1f} m<br>Y: %{y:.1f} m<extra></extra>'
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))
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# Update layout
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fig.update_layout(
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title=dict(text=title, font=dict(size=18)),
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xaxis_title="Horizontal Position (m)",
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yaxis_title="Vertical Position (m)",
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showlegend=True,
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hovermode='closest',
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template='plotly_white',
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height=600,
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margin=dict(l=50, r=50, t=80, b=50)
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)
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# Set axis ranges
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fig.update_xaxes(range=[0, max(data['x']) * 1.1 if len(data['x']) > 0 else 10])
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fig.update_yaxes(range=[0, max(data['y']) * 1.2 if len(data['y']) > 0 else 10])
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# Add grid
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fig.update_xaxes(showgrid=True, gridwidth=1, gridcolor='rgba(128,128,128,0.3)')
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fig.update_yaxes(showgrid=True, gridwidth=1, gridcolor='rgba(128,128,128,0.3)')
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return fig
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def show_1d_motion():
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st.markdown('<div class="section-header">📏 One-Dimensional Motion</div>', unsafe_allow_html=True)
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else:
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motion_type = "Constant Velocity Motion"
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# Create and display Plotly chart
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fig = create_1d_motion_plot(motion, duration, motion_type)
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st.plotly_chart(fig, use_container_width=True)
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def show_2d_motion():
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st.markdown('<div class="section-header">🎯 Two-Dimensional Projectile Motion</div>', unsafe_allow_html=True)
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st.markdown("---")
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# Initialize default values
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default_speed = 25.0
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default_angle = 45.0
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with col2:
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# Create and display trajectory with model info
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model_info = f"({'Sphere' if is_sphere else 'Point Mass'})"
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air_info = " (with Air Resistance)" if air_resistance_enabled else " (No Air Resistance)"
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trajectory_title = f"Projectile Motion - {launch_angle:.0f}° Launch {model_info}{air_info}"
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# Create and display main trajectory plot
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fig = create_2d_trajectory_plot(motion, trajectory_title)
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st.plotly_chart(fig, use_container_width=True)
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# Show model comparison if using sphere
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if is_sphere and 'mass_g' in info:
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st.markdown("### 📊 Sphere vs Point Mass Comparison")
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# Create comparison plot
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fig_comp = go.Figure()
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# Plot sphere model
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data_sphere = motion.trajectory_data(motion.calculate_flight_time())
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fig_comp.add_trace(go.Scatter(
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x=data_sphere['x'],
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y=data_sphere['y'],
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mode='lines',
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name=f'Sphere Model ({info["mass_g"]:.0f}g)',
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line=dict(color='red', width=3),
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hovertemplate='<b>Sphere</b><br>X: %{x:.1f} m<br>Y: %{y:.1f} m<extra></extra>'
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))
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# Plot equivalent point mass
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motion_point = Motion2D(
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is_sphere=False
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)
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data_point = motion_point.trajectory_data(motion_point.calculate_flight_time())
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fig_comp.add_trace(go.Scatter(
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x=data_point['x'],
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y=data_point['y'],
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mode='lines',
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name='Point Mass Model',
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line=dict(color='blue', width=2, dash='dash'),
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hovertemplate='<b>Point Mass</b><br>X: %{x:.1f} m<br>Y: %{y:.1f} m<extra></extra>'
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))
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# Update layout for comparison plot
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fig_comp.update_layout(
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title="Sphere Model vs Point Mass Model",
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xaxis_title="Horizontal Position (m)",
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yaxis_title="Vertical Position (m)",
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showlegend=True,
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template='plotly_white',
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height=400
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)
|
| 607 |
|
| 608 |
+
fig_comp.update_yaxes(range=[0, None])
|
| 609 |
+
fig_comp.update_xaxes(showgrid=True, gridwidth=1, gridcolor='rgba(128,128,128,0.3)')
|
| 610 |
+
fig_comp.update_yaxes(showgrid=True, gridwidth=1, gridcolor='rgba(128,128,128,0.3)')
|
| 611 |
+
|
| 612 |
+
st.plotly_chart(fig_comp, use_container_width=True)
|
|
|
|
| 613 |
|
| 614 |
def show_motion_comparison():
|
| 615 |
st.markdown('<div class="section-header">📊 Compare Different Trajectories</div>', unsafe_allow_html=True)
|
|
|
|
| 705 |
fig.update_xaxes(range=[0, None])
|
| 706 |
fig.update_yaxes(range=[0, None])
|
| 707 |
|
| 708 |
+
# Add grid
|
| 709 |
+
fig.update_xaxes(showgrid=True, gridwidth=1, gridcolor='rgba(128,128,128,0.3)')
|
| 710 |
+
fig.update_yaxes(showgrid=True, gridwidth=1, gridcolor='rgba(128,128,128,0.3)')
|
| 711 |
+
|
| 712 |
return fig, trajectories_data
|
| 713 |
|
| 714 |
# Create cached comparison data
|