Yoonsoo P. Bach ysBach

## SkyBoT+SBID.ipynb

      
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                ysBach
                / SkyBoT+SBID.ipynb
            
            
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              December 6, 2023 13:01
            
              
                SkyBoT and JPL SBID comparison
              
          
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## energy_vs_lst.py
%config InlineBackend.figure_format = 'retina'
import numpy as np
import pandas as pd
from matplotlib import pyplot as plt
from matplotlib import rcParams
from sklearn.cluster import DBSCAN
from astroquery.jplhorizons import Horizons
from astropy.table import vstack

# We need to do it in a separate cell. See:

## watch.py
import datetime
import time
import pandas as pd
import gspread
from oauth2client.service_account import ServiceAccountCredentials
from collections import namedtuple


GradStudent = namedtuple("GradStudent", ["name", "passcode", "email"])

## is_list_like.py

def is_list_like(*objs, allow_sets=True, func=all):
    ''' Check if inputs are list-like

    Parameters
    ----------
    *objs : object
        Objects to check.
    allow_sets : bool, optional.
        If this parameter is `False`, sets will not be considered list-like.

## astropy_vs_fitsio.py
# %%
import argparse
import datetime
import tempfile
import time
from pathlib import Path

import astropy
import fitsio
import numpy as np

## SNU-SAO_M15_radialplot.py
# %%
import ysfitsutilpy as yfu
import ysphotutilpy as ypu
import ysvisutilpy as yvu
from astropy.stats import sigma_clipped_stats
from photutils.aperture import CircularAperture, CircularAnnulus
import numpy as np
from matplotlib import pyplot as plt
from matplotlib import rcParams

## load_ccd.py
import numpy as np
from astropy.nddata import CCDData
import ccdproc
from astropy.io import fits
from trim_ccd import trim_ccd

try:
    import fitsio
    HAS_FITSIO = True
except ImportError:

## circular_mask.py
import numpy as np

def circular_mask(shape, center=None, radius=None, center_xyz=True):
    ''' Creates an N-D circular (circular, sphereical, ...) mask.
    Parameters
    ----------
    shape : tuple
        The pythonic shape (not xyz order).

    center : tuple, None, optional.

## change_to_quantity.py
from astropy import units as u

def change_to_quantity(x, desired='', to_value=False):
    ''' Change the non-Quantity object to astropy Quantity or vice versa.

    Parameters
    ----------
    x : object changable to astropy Quantity
        The input to be changed to a Quantity. If a Quantity is given, `x` is changed to the
        `desired`, i.e., ``x.to(desired)``.

## binning.py
import numpy as np

def binning(arr, factor_x=None, factor_y=None, factors=None, order_xyz=True, binfunc=np.mean, trim_end=False):
    ''' Bins the given arr frame.

    Paramters
    ---------
    arr: 2d array
        The array to be binned
	%config InlineBackend.figure_format = 'retina'
	import numpy as np
	import pandas as pd
	from matplotlib import pyplot as plt
	from matplotlib import rcParams
	from sklearn.cluster import DBSCAN
	from astroquery.jplhorizons import Horizons
	from astropy.table import vstack

	# We need to do it in a separate cell. See:
	import datetime
	import time
	import pandas as pd
	import gspread
	from oauth2client.service_account import ServiceAccountCredentials
	from collections import namedtuple


	GradStudent = namedtuple("GradStudent", ["name", "passcode", "email"])

	def is_list_like(*objs, allow_sets=True, func=all):
	''' Check if inputs are list-like

	Parameters
	----------
	*objs : object
	Objects to check.
	allow_sets : bool, optional.
	If this parameter is `False`, sets will not be considered list-like.
	# %%
	import argparse
	import datetime
	import tempfile
	import time
	from pathlib import Path

	import astropy
	import fitsio
	import numpy as np
	# %%
	import ysfitsutilpy as yfu
	import ysphotutilpy as ypu
	import ysvisutilpy as yvu
	from astropy.stats import sigma_clipped_stats
	from photutils.aperture import CircularAperture, CircularAnnulus
	import numpy as np
	from matplotlib import pyplot as plt
	from matplotlib import rcParams
	import numpy as np
	from astropy.nddata import CCDData
	import ccdproc
	from astropy.io import fits
	from trim_ccd import trim_ccd

	try:
	import fitsio
	HAS_FITSIO = True
	except ImportError:
	import numpy as np

	def circular_mask(shape, center=None, radius=None, center_xyz=True):
	''' Creates an N-D circular (circular, sphereical, ...) mask.
	Parameters
	----------
	shape : tuple
	The pythonic shape (not xyz order).

	center : tuple, None, optional.
	from astropy import units as u

	def change_to_quantity(x, desired='', to_value=False):
	''' Change the non-Quantity object to astropy Quantity or vice versa.

	Parameters
	----------
	x : object changable to astropy Quantity
	The input to be changed to a Quantity. If a Quantity is given, `x` is changed to the
	`desired`, i.e., ``x.to(desired)``.
	import numpy as np

	def binning(arr, factor_x=None, factor_y=None, factors=None, order_xyz=True, binfunc=np.mean, trim_end=False):
	''' Bins the given arr frame.

	Paramters
	---------
	arr: 2d array
	The array to be binned