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]
},
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"source": [
"from pathlib import Path\n",
"\n",
"import matplotlib.pyplot as plt\n",
"from matplotlib.animation import FuncAnimation\n",
"\n",
"import numpy as np\n",
"\n",
"proj_dir = Path.cwd().parent\n",
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},
{
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"source": [
"import sys\n",
"sys.path.append(str(proj_dir))\n",
"\n",
"from shotshaper.projectile import DiscGolfDisc\n",
"from app.visualize_disc import get_stl, get_plot"
]
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"disc_names = {\n",
" 'Innova Wraith': 'dd2',\n",
" 'Innova Firebird': 'cd1',\n",
" 'Innova Roadrunner': 'cd5',\n",
" 'Innova Fairway Driver': 'fd2',\n",
" }\n",
"disc_name = 'dd2'\n",
"\n",
"U = 24.2\n",
"omega = 116.8\n",
"z0 = 1.3\n",
"pos = np.array((0, 0, z0))\n",
"pitch = 15.5\n",
"nose = 0.0\n",
"roll = 14.7\n",
"\n",
"disc_dict = DiscGolfDisc(disc_name)\n",
"\n",
"shot = disc_dict.shoot(speed=U, omega=omega, pitch=pitch,\n",
" position=pos, nose_angle=nose, roll_angle=roll)\n",
"\n",
"# Plot trajectory\n",
"x, y, z = shot.position"
]
},
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}
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" )\n",
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" )]),\n",
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" y=[y[k]],\n",
" mode=\"markers\",\n",
" marker=dict(color=\"red\", size=10))])\n",
"\n",
" for k in range(N)]\n",
")\n",
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" fig.update_xaxes(autorange=\"reversed\") \n",
"fig.update_yaxes(\n",
" scaleanchor=\"x\",\n",
" scaleratio=1,\n",
" )\n",
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"fig.show()\n"
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"id": "6fabcd97",
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"source": []
},
{
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"source": []
},
{
"cell_type": "code",
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]
},
{
"cell_type": "code",
"execution_count": null,
"id": "8c91b75f",
"metadata": {},
"outputs": [],
"source": [
"True"
]
},
{
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"source": [
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"title": {
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"title": {
"text": "Lateral Deviance"
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},
"text/html": [
""
]
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],
"source": [
"import plotly.graph_objs as go\n",
"\n",
"# Sample data for Category A\n",
"y_min = 10 # Minimum value\n",
"y_max = 25 # Maximum value\n",
"y_value = 18 # Actual value\n",
"\n",
"# Create a bar chart trace for actual value\n",
"trace_value = go.Bar(\n",
" x=['Category A'],\n",
" y=[y_value],\n",
" name='Value',\n",
" marker=dict(color='orange', line=dict(width=1)) # Set color of value bar to orange and line width to 1\n",
")\n",
"\n",
"# Create a scatter trace for the minimum caret (triangle-up)\n",
"trace_min_caret = go.Scatter(\n",
" x=['Category A'],\n",
" y=[y_min],\n",
" mode='markers',\n",
" marker=dict(symbol='triangle-up', size=8, color='blue'),\n",
" name='Minimum'\n",
")\n",
"\n",
"# Create a scatter trace for the maximum caret (triangle-down)\n",
"trace_max_caret = go.Scatter(\n",
" x=['Category A'],\n",
" y=[y_max],\n",
" mode='markers',\n",
" marker=dict(symbol='triangle-down', size=8, color='red'),\n",
" name='Maximum'\n",
")\n",
"\n",
"# Create a layout\n",
"layout = go.Layout(\n",
" title='Value Between Minimum and Maximum',\n",
" yaxis=dict(title='Lateral Deviance'),\n",
" barmode='group', # Set the bars to group mode\n",
" width=400 # Set the width of the plot to 400 pixels\n",
")\n",
"\n",
"# Create a figure object\n",
"fig = go.Figure(data=[trace_value, trace_min_caret, trace_max_caret], layout=layout)\n",
"\n",
"# Show the figure\n",
"fig.show()\n"
]
},
{
"cell_type": "code",
"execution_count": 74,
"id": "1dfc862e",
"metadata": {},
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""
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"source": [
"import plotly.graph_objs as go\n",
"\n",
"# Sample data for Category A\n",
"y_min = 10 # Minimum value\n",
"y_max = 25 # Maximum value\n",
"y_value = 18 # Actual value\n",
"category = 'Lateral Deviance'\n",
"\n",
"# Create a bar chart trace for actual value\n",
"trace_value = go.Bar(\n",
" x=[category],\n",
" y=[y_value],\n",
" name='Value',\n",
" marker=dict(color='green', line=dict(width=1)) # Set color of value bar to orange and line width to 1\n",
")\n",
"\n",
"# Create a scatter trace for the minimum and maximum carets\n",
"trace_carets = go.Scatter(\n",
" x=[category, category],\n",
" y=[y_min, y_max],\n",
" mode='markers',\n",
" marker=dict(symbol=['triangle-up', 'triangle-down'], size=20, color=['red', 'red']),\n",
" name='Carets'\n",
")\n",
"\n",
"# Create a layout\n",
"layout = go.Layout(\n",
" title='Value Between Minimum and Maximum',\n",
" yaxis=dict(title='Value'),\n",
" barmode='group', # Set the bars to group mode\n",
" width=200, # Set the width of the plot to 400 pixels\n",
" showlegend=False\n",
")\n",
"\n",
"# Create a figure object\n",
"fig = go.Figure(data=[trace_value, trace_carets], layout=layout)\n",
"\n",
"# Show the figure\n",
"fig.show()\n"
]
},
{
"cell_type": "code",
"execution_count": 35,
"id": "e8de4810",
"metadata": {},
"outputs": [],
"source": [
"import plotly.graph_objs as go\n",
"\n",
"def plot_value_between_min_max_trace(category_name, y_min, y_max, y_value, horizontal=False):\n",
" # Create a bar chart trace for actual value\n",
" trace_value = go.Bar(\n",
" x=[category_name] if not horizontal else [y_value],\n",
" y=[y_value] if not horizontal else [category_name],\n",
" orientation='h' if horizontal else 'v',\n",
" name='Value',\n",
" marker=dict(color='orange', line=dict(width=1)) # Set color of value bar to orange and line width to 1\n",
" )\n",
"\n",
" # Create a scatter trace for the minimum and maximum carets\n",
" trace_carets = go.Scatter(\n",
" x=[category_name, category_name] if not horizontal else [y_min, y_max],\n",
" y=[y_min, y_max] if not horizontal else [category_name, category_name],\n",
" mode='markers',\n",
" marker=dict(symbol=['triangle-up', 'triangle-down'], size=20, color=['blue', 'red']),\n",
" name='Carets'\n",
" )\n",
"\n",
" # Combine the traces into a single list\n",
" trace = [trace_value, trace_carets]\n",
"\n",
" return trace\n"
]
},
{
"cell_type": "code",
"execution_count": 53,
"id": "16032b57",
"metadata": {},
"outputs": [],
"source": [
"fig = sp.make_subplots(rows=1, cols=2, subplot_titles=(\"Main plot\", \"Most Recent Value\"))\n",
"# Create the trace for the value between minimum and maximum\n",
"category_name = 'Category A'\n",
"y_min = 10\n",
"y_max = 25\n",
"y_value = 18\n",
"horizontal = False\n",
"trace = plot_value_between_min_max_trace(category_name, y_min, y_max, y_value, horizontal)\n",
"\n",
"# Add the trace to the second column (most recent value)\n",
"for t in trace:\n",
" fig.add_trace(t, row=1, col=1)\n"
]
},
{
"cell_type": "code",
"execution_count": 54,
"id": "eb0ee2f0",
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"source": [
"import plotly.subplots as sp\n",
"import plotly.graph_objects as go\n",
"\n",
"# Sample data\n",
"x = [1, 2, 3, 4, 5]\n",
"y1 = [10, 15, 13, 17, 12]\n",
"y2 = [5, 9, 11, 13, 8]\n",
"\n",
"# Create a subplot with 1 row and 2 columns\n",
"fig = sp.make_subplots(rows=1, cols=2, subplot_titles=(\"Main plot\", \"Most Recent Values\"))\n",
"\n",
"# Add initial traces to the main plot\n",
"fig.add_trace(go.Scatter(x=[], y=[], mode=\"markers+lines\", name=\"Sample Data 1\"), row=1, col=1)\n",
"fig.add_trace(go.Scatter(x=[], y=[], mode=\"markers+lines\", name=\"Sample Data 2\"), row=1, col=1)\n",
"\n",
"# Add initial scatter traces to the second subplot\n",
"fig.add_trace(go.Scatter(x=[1], y=[0], mode=\"markers\", marker=dict(size=10), showlegend=False), row=1, col=2)\n",
"fig.add_trace(go.Scatter(x=[1], y=[0], mode=\"markers\", marker=dict(size=10), showlegend=False), row=1, col=2)\n",
"\n",
"# Update layout\n",
"fig.update_layout(\n",
" title_text=\"Plotly Animation with Multiple Traces\",\n",
" title_x=0.5,\n",
" updatemenus=[dict(\n",
" type=\"buttons\",\n",
" showactive=False,\n",
" buttons=[dict(\n",
" label=\"Play\",\n",
" method=\"animate\",\n",
" args=[None, {\"frame\": {\"duration\": 1000, \"redraw\": True}, \"fromcurrent\": True}]\n",
" )]\n",
" )]\n",
")\n",
"\n",
"# Create animation frames\n",
"frames = []\n",
"for i in range(len(x)):\n",
" frame = go.Frame(\n",
" data=[\n",
" go.Scatter(x=x[:i+1], y=y1[:i+1], mode=\"markers+lines\", name=\"Sample Data 1\"),\n",
" go.Scatter(x=x[:i+1], y=y2[:i+1], mode=\"markers+lines\", name=\"Sample Data 2\"),\n",
" go.Scatter(x=[1], y=[y1[i]], mode=\"markers\", marker=dict(size=10), showlegend=False),\n",
" go.Scatter(x=[1], y=[y2[i]], mode=\"markers\", marker=dict(size=10), showlegend=False)\n",
" ]\n",
" )\n",
" frames.append(frame)\n",
"\n",
"# Add frames to the figure\n",
"fig.frames = frames\n",
"\n",
"# Show the plot\n",
"fig.show()\n"
]
},
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