def from_range(cls, instrument, start, end, **kwargs):
"""Automatically download data from instrument between start and
end and join it together.
Parameters
----------
instrument : str
instrument to retrieve the data from
start : `~sunpy.time.parse_time` compatible
start of the measurement
end : `~sunpy.time.parse_time` compatible
end of the measurement
"""
kw = {
'maxgap': None,
'fill': cls.JOIN_REPEAT,
}
kw.update(kwargs)
start = parse_time(start)
end = parse_time(end)
urls = query(start, end, [instrument])
data = list(map(cls.from_url, urls))
freq_buckets = defaultdict(list)
for elem in data:
freq_buckets[tuple(elem.freq_axis)].append(elem)
try:
return cls.combine_frequencies([
cls.join_many(elem, **kw) for elem in itervalues(freq_buckets)
])
except ValueError:
raise ValueError("No data found.")
def from_range(cls, instrument, start, end, **kwargs):
"""Automatically download data from instrument between start and
end and join it together.
Parameters
----------
instrument : str
instrument to retrieve the data from
start : `~sunpy.time.parse_time` compatible
start of the measurement
end : `~sunpy.time.parse_time` compatible
end of the measurement
"""
kw = {
'maxgap': None,
'fill': cls.JOIN_REPEAT,
}
kw.update(kwargs)
start = parse_time(start)
end = parse_time(end)
urls = query(start, end, [instrument])
data = list(map(cls.from_url, urls))
freq_buckets = defaultdict(list)
for elem in data:
freq_buckets[tuple(elem.freq_axis)].append(elem)
try:
return cls.combine_frequencies(
[cls.join_many(elem, **kw) for elem in itervalues(freq_buckets)]
)
except ValueError:
raise ValueError("No data found.")
def download_sample_data(progress=True, overwrite=True, timeout=None):
"""
Download the sample data.
Parameters
----------
progress: `bool`
Show a progress bar during download
overwrite: `bool`
If exist overwrites the downloaded sample data.
timeout: `float`
The timeout in seconds. If `None` the default timeout is used from
`astropy.utils.data.Conf.remote_timeout`.
Returns
-------
None
"""
# Creating the directory for sample files to be downloaded
sampledata_dir = get_and_create_sample_dir()
number_of_files_fetched = 0
print("Downloading sample files to {}".format(sampledata_dir))
for file_name in six.itervalues(_files):
if not overwrite:
if os.path.isfile(os.path.join(sampledata_dir, file_name[0])):
number_of_files_fetched += 1
continue
for base_url in _base_urls:
full_file_name = file_name[0] + file_name[1]
try:
exists = url_exists(os.path.join(base_url, full_file_name))
if exists:
f = download_file(os.path.join(base_url, full_file_name))
real_name, ext = os.path.splitext(full_file_name)
if file_name[1] == '.zip':
print("Unpacking: {}".format(real_name))
with ZipFile(f, 'r') as zip_file:
zip_file.extract(real_name, sampledata_dir)
os.remove(f)
else:
# move files to the data directory
move(f, os.path.join(sampledata_dir, file_name[0]))
# increment the number of files obtained to check later
number_of_files_fetched += 1
break
except (socket.error, socket.timeout) as e:
warnings.warn("Download failed with error {}. \n"
"Retrying with different mirror.".format(e))
if number_of_files_fetched < len(list(_files.keys())):
raise URLError("Could not download all samples files."
"Problem with accessing sample data servers.")
def download_sample_data(progress=True, overwrite=True, timeout=None):
"""
Download the sample data.
Parameters
----------
progress: `bool`
Show a progress bar during download
overwrite: `bool`
If exist overwrites the downloaded sample data.
timeout: `float`
The timeout in seconds. If `None` the default timeout is used from
`astropy.utils.data.Conf.remote_timeout`.
Returns
-------
None
"""
number_of_files_fetched = 0
print("Downloading sample files to {}".format(sampledata_dir))
for file_name in six.itervalues(_files):
if not overwrite:
if os.path.isfile(os.path.join(sampledata_dir,
file_name[0])):
number_of_files_fetched += 1
continue
for base_url in _base_urls:
full_file_name = file_name[0] + file_name[1]
try:
exists = url_exists(os.path.join(base_url, full_file_name))
if exists:
f = download_file(os.path.join(base_url, full_file_name))
real_name, ext = os.path.splitext(full_file_name)
if file_name[1] == '.zip':
print("Unpacking: {}".format(real_name))
with ZipFile(f, 'r') as zip_file:
zip_file.extract(real_name, sampledata_dir)
os.remove(f)
else:
# move files to the data directory
move(f, os.path.join(sampledata_dir, file_name[0]))
# increment the number of files obtained to check later
number_of_files_fetched += 1
break
except (socket.error, socket.timeout) as e:
warnings.warn("Download failed with error {}. \n Retrying with different mirror.".format(e))
if number_of_files_fetched < len(list(_files.keys())):
raise URLError("Could not download all samples files. Problem with accessing sample data servers.")
def download_sample_data(show_progress=True):
"""
Download all sample data at once. This will overwrite any existing files.
Parameters
----------
show_progress: `bool`
Show a progress bar during download
Returns
-------
None
"""
for file_name in six.itervalues(_sample_files):
get_sample_file(file_name, show_progress=show_progress,
url_list=_base_urls, overwrite=True)
def download_sample_data(progress=True, overwrite=True):
"""
Download the sample data.
Parameters
----------
progress: bool
Show a progress bar during download
overwrite: bool
If exist overwrites the downloaded sample data.
Returns
-------
None
"""
number_of_files_fetched = 0
print("Downloading sample files to {}".format(sampledata_dir))
for file_name in six.itervalues(_files):
if not overwrite:
if os.path.isfile(os.path.join(sampledata_dir, file_name[0])):
number_of_files_fetched += 1
continue
for base_url in _base_urls:
full_file_name = file_name[0] + file_name[1]
if url_exists(os.path.join(base_url, full_file_name)):
f = download_file(os.path.join(base_url, full_file_name))
real_name, ext = os.path.splitext(full_file_name)
if file_name[1] == '.zip':
print("Unpacking: {}".format(real_name))
with ZipFile(f, 'r') as zip_file:
zip_file.extract(real_name, sampledata_dir)
os.remove(f)
else:
# move files to the data directory
move(f, os.path.join(sampledata_dir, file_name[0]))
# increment the number of files obtained to check later
number_of_files_fetched += 1
break
if number_of_files_fetched < len(list(_files.keys())):
raise URLError(
"Could not download all samples files. Problem with accessing sample data servers."
)
def download_sample_data(show_progress=True):
"""
Download all sample data at once. This will overwrite any existing files.
Parameters
----------
show_progress: `bool`
Show a progress bar during download
Returns
-------
None
"""
for file_name in six.itervalues(_sample_files):
get_sample_file(file_name,
show_progress=show_progress,
url_list=_base_urls,
overwrite=True)
def download_sample_data(overwrite=True,**kwargs):
"""
Download the sample data.
Parameters
----------
progress: bool
Show a progress bar during download
overwrite: bool
If exist overwrites the downloaded sample data.
Returns
-------
None
"""
number_of_files_fetched = 0
print("Downloading sample files to {}".format(sampledata_dir))
for file_name in six.itervalues(_files):
if not overwrite:
if os.path.isfile(os.path.join(sampledata_dir,
file_name[0])):
number_of_files_fetched += 1
continue
for base_url in _base_urls:
full_file_name = file_name[0] + file_name[1]
if url_exists(os.path.join(base_url, full_file_name)):
f = download_file(os.path.join(base_url, full_file_name))
real_name, ext = os.path.splitext(full_file_name)
if file_name[1] == '.zip':
print("Unpacking: {}".format(real_name))
with ZipFile(f, 'r') as zip_file:
zip_file.extract(real_name, sampledata_dir)
os.remove(f)
else:
# move files to the data directory
move(f, os.path.join(sampledata_dir, file_name[0]))
# increment the number of files obtained to check later
number_of_files_fetched += 1
break
if number_of_files_fetched < len(list(_files.keys())):
raise URLError("Could not download all samples files. Problem with accessing sample data servers.")
def _make_transform_graph_docs():
"""
Generates a string for use with the coordinate package's docstring
to show the available transforms and coordinate systems
"""
import inspect
from textwrap import dedent
from sunpy.extern import six
from astropy.coordinates.baseframe import (BaseCoordinateFrame,
frame_transform_graph)
import copy
f = copy.deepcopy(frame_transform_graph)
for f1 in frame_transform_graph._graph.keys():
if 'sunpy' not in str(f1):
del f._graph[f1]
else:
for f2 in frame_transform_graph._graph[f1].keys():
if 'sunpy' not in str(f2):
del f._graph[f1][f2]
# TODO: Make this just show the SunPy Frames
isclass = inspect.isclass
coosys = [
item for item in list(six.itervalues(globals()))
if isclass(item) and issubclass(item, BaseCoordinateFrame)
]
graphstr = f.to_dot_graph(addnodes=coosys, priorities=False)
docstr = """
The diagram below shows all of the coordinate systems built into the
`~astropy.coordinates` package, their aliases (useful for converting
other coordinates to them using attribute-style access) and the
pre-defined transformations between them. The user is free to
override any of these transformations by defining new transformations
between these systems, but the pre-defined transformations should be
sufficient for typical usage.
.. graphviz::
"""
return dedent(docstr) + ' ' + graphstr.replace('\n', '\n ')
def _make_transform_graph_docs():
"""
Generates a string for use with the coordinate package's docstring
to show the available transforms and coordinate systems
"""
import inspect
from textwrap import dedent
from sunpy.extern import six
from astropy.coordinates.baseframe import BaseCoordinateFrame, frame_transform_graph
import copy
f = copy.deepcopy(frame_transform_graph)
for f1 in frame_transform_graph._graph.keys():
if "sunpy" not in str(f1):
del f._graph[f1]
else:
for f2 in frame_transform_graph._graph[f1].keys():
if "sunpy" not in str(f2):
del f._graph[f1][f2]
# TODO: Make this just show the SunPy Frames
isclass = inspect.isclass
coosys = [
item for item in list(six.itervalues(globals())) if isclass(item) and issubclass(item, BaseCoordinateFrame)
]
graphstr = f.to_dot_graph(addnodes=coosys, priorities=False)
docstr = """
The diagram below shows all of the coordinate systems built into the
`~astropy.coordinates` package, their aliases (useful for converting
other coordinates to them using attribute-style access) and the
pre-defined transformations between them. The user is free to
override any of these transformations by defining new transformations
between these systems, but the pre-defined transformations should be
sufficient for typical usage.
.. graphviz::
"""
return dedent(docstr) + " " + graphstr.replace("\n", "\n ")
def __hash__(self):
return hash(tuple(six.itervalues(vars(self))))
def __hash__(self):
return hash(tuple(six.itervalues(vars(self))))