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# Licensed under a 3-clause BSD style license - see LICENSE.rst
"""
Helper functions for table development, mostly creating useful
tables for testing.
"""
from __future__ import (absolute_import, division, print_function,
unicode_literals)
from itertools import cycle
import string
import numpy as np
from .table import Table, Column
from ..extern.six.moves import zip, range
from ..utils.data_info import ParentDtypeInfo
class TimingTables(object):
"""
Object which contains two tables and various other attributes that
are useful for timing and other API tests.
"""
def __init__(self, size=1000, masked=False):
self.masked = masked
# Initialize table
self.table = Table(masked=self.masked)
# Create column with mixed types
np.random.seed(12345)
self.table['i'] = np.arange(size)
self.table['a'] = np.random.random(size) # float
self.table['b'] = np.random.random(size) > 0.5 # bool
self.table['c'] = np.random.random((size,10)) # 2d column
self.table['d'] = np.random.choice(np.array(list(string.ascii_letters)),size)
self.extra_row = {'a':1.2, 'b':True, 'c':np.repeat(1, 10), 'd':'Z'}
self.extra_column = np.random.randint(0, 100, size)
self.row_indices = np.where(self.table['a'] > 0.9)[0]
self.table_grouped = self.table.group_by('d')
# Another table for testing joining
self.other_table = Table(masked=self.masked)
self.other_table['i'] = np.arange(1,size,3)
self.other_table['f'] = np.random.random()
self.other_table.sort('f')
# Another table for testing hstack
self.other_table_2 = Table(masked=self.masked)
self.other_table_2['g'] = np.random.random(size)
self.other_table_2['h'] = np.random.random((size, 10))
self.bool_mask = self.table['a'] > 0.6
def simple_table(size=3, cols=None, kinds='ifS', masked=False):
"""
Return a simple table for testing.
Example
--------
::
>>> from astropy.table.table_helpers import simple_table
>>> print(simple_table(3, 6, masked=True, kinds='ifOS'))
a b c d e f
--- --- -------- --- --- ---
-- 1.0 {'c': 2} -- 5 5.0
2 2.0 -- e 6 --
3 -- {'e': 4} f -- 7.0
Parameters
----------
size : int
Number of table rows
cols : int, default=number of kinds
Number of table columns
kinds : str
String consisting of the column dtype.kinds. This string
will be cycled through to generate the column dtype.
The allowed values are 'i', 'f', 'S', 'O'.
Returns
-------
out : `Table`
New table with appropriate characteristics
"""
if cols is None:
cols = len(kinds)
if cols > 26:
raise ValueError("Max 26 columns in SimpleTable")
columns = []
names = [chr(ord('a') + ii) for ii in range(cols)]
letters = np.array([c for c in string.ascii_letters])
for jj, kind in zip(range(cols), cycle(kinds)):
if kind == 'i':
data = np.arange(1, size + 1, dtype=np.int64) + jj
elif kind == 'f':
data = np.arange(size, dtype=np.float64) + jj
elif kind == 'S':
indices = (np.arange(size) + jj) % len(letters)
data = letters[indices]
elif kind == 'O':
indices = (np.arange(size) + jj) % len(letters)
vals = letters[indices]
data = [{val: index} for val, index in zip(vals, indices)]
else:
raise ValueError('Unknown data kind')
columns.append(Column(data))
table = Table(columns, names=names, masked=masked)
if masked:
for ii, col in enumerate(table.columns.values()):
mask = np.array((np.arange(size) + ii) % 3, dtype=bool)
col.mask = ~mask
return table
def complex_table():
"""
Return a masked table from the io.votable test set that has a wide variety
of stressing types.
"""
from ..utils.data import get_pkg_data_filename
from ..io.votable.table import parse
import warnings
with warnings.catch_warnings():
warnings.simplefilter("ignore")
votable = parse(get_pkg_data_filename('../io/votable/tests/data/regression.xml'),
pedantic=False)
first_table = votable.get_first_table()
table = first_table.to_table()
return table
class ArrayWrapper(object):
"""
Minimal mixin using a simple wrapper around a numpy array
"""
info = ParentDtypeInfo()
def __init__(self, data):
self.data = np.array(data)
if 'info' in getattr(data, '__dict__', ()):
self.info = data.info
def __getitem__(self, item):
if isinstance(item, (int, np.integer)):
out = self.data[item]
else:
out = self.__class__(self.data[item])
if 'info' in self.__dict__:
out.info = self.info
return out
def __setitem__(self, item, value):
self.data[item] = value
def __len__(self):
return len(self.data)
@property
def dtype(self):
return self.data.dtype
@property
def shape(self):
return self.data.shape
def __repr__(self):
return ("<{0} name='{1}' data={2}>"
.format(self.__class__.__name__, self.info.name, self.data))
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