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docs/doctrees/_autosummary/lexi.lexi.download_files_from_github.doctree
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{ | ||
"cells": [ | ||
{ | ||
"cell_type": "code", | ||
"execution_count": 1, | ||
"id": "c760f72c", | ||
"metadata": { | ||
"execution": { | ||
"iopub.execute_input": "2024-12-31T18:59:26.347758Z", | ||
"iopub.status.busy": "2024-12-31T18:59:26.347330Z", | ||
"iopub.status.idle": "2024-12-31T18:59:26.820488Z", | ||
"shell.execute_reply": "2024-12-31T18:59:26.819994Z" | ||
} | ||
}, | ||
"outputs": [ | ||
{ | ||
"name": "stdout", | ||
"output_type": "stream", | ||
"text": [ | ||
"(100, 100)\n" | ||
] | ||
} | ||
], | ||
"source": [ | ||
"from lexi_bu.lexi import array_to_image\n", | ||
"import numpy as np\n", | ||
"import matplotlib.pyplot as plt\n", | ||
"\n", | ||
"# Create a 2D array\n", | ||
"input_array = np.random.rand(100, 100)\n", | ||
"\n", | ||
"# Print the shape of the input array\n", | ||
"# The shape should be (100, 100)\n", | ||
"print(input_array.shape)" | ||
] | ||
} | ||
], | ||
"metadata": { | ||
"kernelspec": { | ||
"display_name": "Python 3 (ipykernel)", | ||
"language": "python", | ||
"name": "python3" | ||
}, | ||
"language_info": { | ||
"codemirror_mode": { | ||
"name": "ipython", | ||
"version": 3 | ||
}, | ||
"file_extension": ".py", | ||
"mimetype": "text/x-python", | ||
"name": "python", | ||
"nbconvert_exporter": "python", | ||
"pygments_lexer": "ipython3", | ||
"version": "3.10.12" | ||
} | ||
}, | ||
"nbformat": 4, | ||
"nbformat_minor": 5 | ||
} |
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#!/usr/bin/env python | ||
# coding: utf-8 | ||
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# In[1]: | ||
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from lexi_bu.lexi import array_to_image | ||
import numpy as np | ||
import matplotlib.pyplot as plt | ||
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# Create a 2D array | ||
input_array = np.random.rand(100, 100) | ||
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# Print the shape of the input array | ||
# The shape should be (100, 100) | ||
print(input_array.shape) | ||
|
108 changes: 108 additions & 0 deletions
108
docs/jupyter_execute/rst_files/get_exposure_maps/index.ipynb
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#!/usr/bin/env python | ||
# coding: utf-8 | ||
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# In[1]: | ||
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from lexi_bu.lexi import get_exposure_maps | ||
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exposure_maps_dict = get_exposure_maps( | ||
time_range=["2025-03-02 08:04:00", "2025-03-08 23:43:00"], | ||
ra_range=[190, 310], | ||
dec_range=[-33, 3], | ||
ra_res=0.5, | ||
dec_res=0.5, | ||
save_exposure_map_file=False, | ||
save_exposure_map_image=True, | ||
verbose=False, | ||
array_to_image_kwargs={"display": True} | ||
) | ||
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||
print(exposure_maps_dict.keys()) | ||
|
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{ | ||
"cells": [ | ||
{ | ||
"cell_type": "code", | ||
"execution_count": 1, | ||
"id": "100d4fb3", | ||
"metadata": { | ||
"execution": { | ||
"iopub.execute_input": "2024-12-31T18:59:46.742015Z", | ||
"iopub.status.busy": "2024-12-31T18:59:46.741642Z", | ||
"iopub.status.idle": "2024-12-31T18:59:48.289041Z", | ||
"shell.execute_reply": "2024-12-31T18:59:48.288104Z" | ||
} | ||
}, | ||
"outputs": [ | ||
{ | ||
"name": "stdout", | ||
"output_type": "stream", | ||
"text": [ | ||
"Downloading files from \u001b[95mdata/level_1c/cdf/1.0.0\u001b[00m on branch \u001b[92mstable\u001b[00m:\n", | ||
"A total of \u001b[1;92m1917\u001b[0m files found\n", | ||
"\n", | ||
"Files to download: \u001b[1;92m9\u001b[0m\n", | ||
"\n", | ||
" Epoch_unix ra_J2000_deg dec_J2000_deg\n", | ||
"Epoch_utc \n", | ||
"2025-03-02 08:50:00+00:00 1740905400 204.737595 -10.064720\n", | ||
"2025-03-02 08:50:00+00:00 1740905400 199.864853 -7.779826\n", | ||
"2025-03-02 08:50:00+00:00 1740905400 200.145035 -15.348747\n", | ||
"2025-03-02 08:50:00+00:00 1740905400 199.899582 -7.916301\n", | ||
"2025-03-02 08:50:00+00:00 1740905400 205.031219 -12.977372\n" | ||
] | ||
} | ||
], | ||
"source": [ | ||
"from lexi_bu.lexi import get_lexi_data\n", | ||
"\n", | ||
"df_lexi = get_lexi_data(\n", | ||
" time_range=[\"2025-03-02 08:50:00\", \"2025-03-02 09:23:00\"],\n", | ||
" verbose=False\n", | ||
")\n", | ||
"\n", | ||
"print(df_lexi.head())" | ||
] | ||
} | ||
], | ||
"metadata": { | ||
"kernelspec": { | ||
"display_name": "Python 3 (ipykernel)", | ||
"language": "python", | ||
"name": "python3" | ||
}, | ||
"language_info": { | ||
"codemirror_mode": { | ||
"name": "ipython", | ||
"version": 3 | ||
}, | ||
"file_extension": ".py", | ||
"mimetype": "text/x-python", | ||
"name": "python", | ||
"nbconvert_exporter": "python", | ||
"pygments_lexer": "ipython3", | ||
"version": "3.10.12" | ||
} | ||
}, | ||
"nbformat": 4, | ||
"nbformat_minor": 5 | ||
} |
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#!/usr/bin/env python | ||
# coding: utf-8 | ||
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# In[1]: | ||
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from lexi_bu.lexi import get_lexi_data | ||
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df_lexi = get_lexi_data( | ||
time_range=["2025-03-02 08:50:00", "2025-03-02 09:23:00"], | ||
verbose=False | ||
) | ||
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print(df_lexi.head()) | ||
|
94 changes: 94 additions & 0 deletions
94
docs/jupyter_execute/rst_files/get_lexi_images/index.ipynb
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#!/usr/bin/env python | ||
# coding: utf-8 | ||
|
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# In[1]: | ||
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from lexi_bu.lexi import get_lexi_images | ||
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lexi_images_dict = get_lexi_images( | ||
time_range=["2025-03-04 08:53:41", "2025-03-04 09:23:41"], | ||
ra_range=[220, 240], | ||
dec_range=[-30, -15], | ||
ra_res=1, | ||
dec_res=1, | ||
background_correction_on=False, | ||
save_exposure_map_file=False, | ||
save_sky_backgrounds_file=False, | ||
save_exposure_map_image=False, | ||
save_sky_backgrounds_image=False, | ||
save_lexi_images=True, | ||
verbose=False, | ||
array_to_image_kwargs={"display": True} | ||
) | ||
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print(lexi_images_dict.keys()) | ||
|
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112 changes: 112 additions & 0 deletions
112
docs/jupyter_execute/rst_files/get_sky_backgrounds/index.ipynb
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24 changes: 24 additions & 0 deletions
24
docs/jupyter_execute/rst_files/get_sky_backgrounds/index.py
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#!/usr/bin/env python | ||
# coding: utf-8 | ||
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# In[1]: | ||
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from lexi_bu.lexi import get_sky_backgrounds | ||
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sky_background_dict = get_sky_backgrounds( | ||
time_range=["2025-03-02 08:04:00", "2025-03-08 23:43:00"], | ||
ra_range=[190, 310], | ||
dec_range=[-33, 3], | ||
ra_res=0.5, | ||
dec_res=0.5, | ||
save_exposure_map_file=False, | ||
save_sky_backgrounds_file=False, | ||
save_exposure_map_image=True, | ||
save_sky_backgrounds_image=False, | ||
verbose=False, | ||
array_to_image_kwargs={"display": True} | ||
) | ||
|
||
print(sky_background_dict.keys()) | ||
|
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{ | ||
"cells": [ | ||
{ | ||
"cell_type": "code", | ||
"execution_count": 1, | ||
"id": "a6015423", | ||
"metadata": { | ||
"execution": { | ||
"iopub.execute_input": "2024-12-31T19:00:16.126658Z", | ||
"iopub.status.busy": "2024-12-31T19:00:16.126372Z", | ||
"iopub.status.idle": "2024-12-31T19:00:16.721277Z", | ||
"shell.execute_reply": "2024-12-31T19:00:16.720700Z" | ||
} | ||
}, | ||
"outputs": [ | ||
{ | ||
"name": "stdout", | ||
"output_type": "stream", | ||
"text": [ | ||
" RA DEC\n", | ||
"epoch_utc \n", | ||
"2025-03-02 08:50:00+00:00 3.518914 -0.197321\n", | ||
"2025-03-02 08:50:05+00:00 3.518928 -0.197328\n", | ||
"2025-03-02 08:50:10+00:00 3.518941 -0.197334\n", | ||
"2025-03-02 08:50:15+00:00 3.518955 -0.197341\n", | ||
"2025-03-02 08:50:20+00:00 3.518969 -0.197348\n" | ||
] | ||
} | ||
], | ||
"source": [ | ||
"from lexi_bu.lexi import get_spc_prams\n", | ||
"\n", | ||
"df_spc = get_spc_prams(\n", | ||
" time_range=[\"2025-03-02 08:50:00\", \"2025-03-02 09:23:00\"],\n", | ||
" verbose=False\n", | ||
")\n", | ||
"\n", | ||
"print(df_spc.head())" | ||
] | ||
} | ||
], | ||
"metadata": { | ||
"kernelspec": { | ||
"display_name": "Python 3 (ipykernel)", | ||
"language": "python", | ||
"name": "python3" | ||
}, | ||
"language_info": { | ||
"codemirror_mode": { | ||
"name": "ipython", | ||
"version": 3 | ||
}, | ||
"file_extension": ".py", | ||
"mimetype": "text/x-python", | ||
"name": "python", | ||
"nbconvert_exporter": "python", | ||
"pygments_lexer": "ipython3", | ||
"version": "3.10.12" | ||
} | ||
}, | ||
"nbformat": 4, | ||
"nbformat_minor": 5 | ||
} |
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Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -0,0 +1,15 @@ | ||
#!/usr/bin/env python | ||
# coding: utf-8 | ||
|
||
# In[1]: | ||
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from lexi_bu.lexi import get_spc_prams | ||
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df_spc = get_spc_prams( | ||
time_range=["2025-03-02 08:50:00", "2025-03-02 09:23:00"], | ||
verbose=False | ||
) | ||
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print(df_spc.head()) | ||
|