def lightcurve(self, location_a, location_b, range_c=None):
"""Given a pixel index return a lightcurve."""
return LightCurve(
DataFrame(
{
"{0},{1}".format(location_a, location_b):
self.data[:, location_a, location_b]
},
index=self.date))
def slice_to_lightcurve(self, wavelength, y_coord=None, x_coord=None):
"""
For a time-lambda-y cube, returns a lightcurve with curves at the
specified wavelength and given y-coordinate. If no y is given, all of
them will be used (meaning the lightcurve object could contain more
than one timecurve.)
Parameters
----------
wavelength: int or astropy quantity
The wavelength to take the y-coordinates from
y_coord: int or astropy quantity, optional
The y-coordinate to take the lightcurve from.
x_coord: int or astropy quantity, optional
In the case of hypercubes, specify an extra celestial coordinate.
"""
if self.axes_wcs.wcs.ctype[0] not in ['TIME', 'UTC']:
raise cu.CubeError(1,
'Cannot create a lightcurve with no time axis')
if self.axes_wcs.wcs.ctype[1] != 'WAVE':
raise cu.CubeError(2, 'A spectral axis is needed in a lightcurve')
if self.data.ndim == 3:
data = self._choose_wavelength_slice(wavelength)
if y_coord is not None:
data = data[:, cu.pixelize(y_coord, self.axes_wcs, 1)]
else:
if y_coord is None and x_coord is None:
raise cu.CubeError(4, "At least one coordinate must be given")
if y_coord is None:
y_coord = slice(None, None, None)
else:
y_coord = cu.pixelize(y_coord, self.axes_wcs, 2)
if x_coord is None:
x_coord = slice(None, None, None)
else:
x_coord = cu.pixelize(x_coord, self.axes_wcs, 3)
item = (slice(None, None, None), wavelength, y_coord, x_coord)
data = self.data[item]
return LightCurve(data=data, meta=self.meta)
def _download(uri, kwargs, err='Unable to download data at specified URL',
filename = None):
#Create a better filename
query_str = uri.split('?')[1]
pars = {}
for s in query_str.split('&'):
kv = s.split('=')
pars.update({kv[0]:kv[1]})
base_url = uri.split('?')[0]
fname = base_url.split('/')[-1][:-4]
pars.update({'data_type':fname})
snumber = base_url.split('/')[-2]
pars.update({'satellite_number':snumber})
filename = '%s_%s_%s_%s.csv'%(pars['satellite_number'],
pars['data_type'],
pars['fromDate'],
pars['toDate'])
filepath = LightCurve._download(uri,kwargs,filename=filename)
return filepath
def __init__(self, *args, **kwargs):
LightCurve.__init__(self, *args, **kwargs)
# region Description
import sunpy.data.sample
import sunpy.map
aia = sunpy.map.Map(sunpy.data.sample.AIA_171_IMAGE)
aia.peek()
# endregion
# region Description
import numpy as np
import sunpy.data.sample
from sunpy.lightcurve import LightCurve
times = np.arange(1000) * 2.0
signal = np.sin(np.arange(1000) * 0.02) + np.random.random(1000)
light_curve = LightCurve.create({"signal": signal}, index=times)
light_curve.peek()
# endregion
# region Description
import matplotlib.pyplot as plt
import sunpy.spectra
plt.ion
import sunpy.data.sample
from sunpy.spectra.sources.callisto import CallistoSpectrogram
image = CallistoSpectrogram.read(sunpy.data.sample.CALLISTO_IMAGE)
image.peek()
# endregion
# region Description
import sunpy.map
import matplotlib.pyplot as plt
import sunpy.data.sample
def __init__(self, *args, **kwargs):
LightCurve.__init__(self, *args, **kwargs)
# sunpy.data.download_sample_data(overwrite=False)
import sunpy.data.sample
aia = sunpy.map.Map(sunpy.data.sample.AIA_171_IMAGE)
aia.submap([-5, 5] * u.arcsec, [-5, 5] * u.arcsec)
import sunpy.map
import matplotlib.pyplot as plt
import sunpy.data.sample
aia = sunpy.map.Map(sunpy.data.sample.AIA_171_IMAGE)
fig = plt.figure()
ax = plt.subplot(112)
aia.plot()
aia.draw_limb()
aia.draw_grid()
# plt.colorbar()
aia.draw_limb()
plt.show()
import numpy as np
import sunpy.data.sample
from sunpy.lightcurve import LightCurve
times = np.arange(1000) * 2.0
signal = np.sin(np.arange(1000) * 0.02) + np.random.random(1000)
light_curve = LightCurve.create({"signal": signal}, index=times)
light_curve.peek()
