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docs: add theta plotting
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incebellipipo committed Jun 26, 2024
1 parent fd3af4f commit f599983
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23 changes: 22 additions & 1 deletion notebooks/012_compare_allocators_azimuth_rate.ipynb

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23 changes: 22 additions & 1 deletion notebooks/013_compare_allocators_azimuth_rate.ipynb
Original file line number Diff line number Diff line change
Expand Up @@ -240,6 +240,27 @@
{
"cell_type": "code",
"execution_count": 6,
"id": "d1c8112e",
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plot_theta_histories(theta_hist=theta_hist)"
]
},
{
"cell_type": "code",
"execution_count": 7,
"id": "55f52111",
"metadata": {
"execution": {
Expand Down Expand Up @@ -308,4 +329,4 @@
},
"nbformat": 4,
"nbformat_minor": 5
}
}
46 changes: 25 additions & 21 deletions notebooks/014_compare_lambda_with_shell_plot.ipynb

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23 changes: 22 additions & 1 deletion notebooks/015_compare_allocators_azimuth_rate.ipynb

Large diffs are not rendered by default.

23 changes: 22 additions & 1 deletion notebooks/016_compare_rho_with_shell_plot.ipynb

Large diffs are not rendered by default.

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