def test_wide_repr_multiindex_cols(self):
set_option('test.interactive', True)
col = lambda l, k: [tm.rands(k) for _ in xrange(l)]
midx = pandas.MultiIndex.from_arrays([np.array(col(10, 5)),
np.array(col(10, 5))])
mcols = pandas.MultiIndex.from_arrays([np.array(col(20, 3)),
np.array(col(20, 3))])
df = DataFrame([col(20, 25) for _ in range(10)],
index=midx, columns=mcols)
df.index.names = ['Level 0', 'Level 1']
set_option('print.expand_frame_repr', False)
rep_str = repr(df)
set_option('print.expand_frame_repr', True)
wide_repr = repr(df)
self.assert_(rep_str != wide_repr)
set_option('print.line_width', 120)
wider_repr = repr(df)
self.assert_(len(wider_repr) < len(wide_repr))
self.assert_(len(wide_repr.splitlines()) == 14 * 10 - 1)
reset_option('print.expand_frame_repr')
set_option('test.interactive', False)
set_option('print.line_width', 80)
def test_wide_repr_multiindex_cols(self):
with option_context('mode.sim_interactive', True):
col = lambda l, k: [tm.rands(k) for _ in xrange(l)]
midx = pandas.MultiIndex.from_arrays(
[np.array(col(10, 5)),
np.array(col(10, 5))])
mcols = pandas.MultiIndex.from_arrays(
[np.array(col(20, 3)),
np.array(col(20, 3))])
df = DataFrame([col(20, 25) for _ in range(10)],
index=midx,
columns=mcols)
df.index.names = ['Level 0', 'Level 1']
set_option('display.expand_frame_repr', False)
rep_str = repr(df)
set_option('display.expand_frame_repr', True)
wide_repr = repr(df)
self.assert_(rep_str != wide_repr)
with option_context('display.line_width', 120):
wider_repr = repr(df)
self.assert_(len(wider_repr) < len(wide_repr))
self.assert_(len(wide_repr.splitlines()) == 14 * 10 - 1)
reset_option('display.expand_frame_repr')
def test_repr_obeys_max_seq_limit(self):
import pandas.core.common as com
# unlimited
reset_option("display.max_seq_items")
self.assertTrue(len(com.pprint_thing(range(1000))) > 2000)
with option_context("display.max_seq_items", 5):
self.assertTrue(len(com.pprint_thing(range(1000))) < 100)
def barf(self, num_rows=5, max_col=None):
"""
Keep on running into issues where in notebook, I want to just show everything.
"""
from IPython.core.display import HTML
import pandas.core.config as config
config.set_option("display.max_columns", 1000)
h = HTML(self.to_html())
config.reset_option("display.max_columns")
return h
def barf(self, num_rows=5, max_col=None):
"""
Keep on running into issues where in notebook, I want to just show everything.
"""
from IPython.core.display import HTML
import pandas.core.config as config
config.set_option("display.max_columns", 1000)
h = HTML(self.to_html())
config.reset_option("display.max_columns")
return h
def test_wide_repr(self):
with option_context("mode.sim_interactive", True):
col = lambda l, k: [tm.rands(k) for _ in xrange(l)]
df = DataFrame([col(20, 25) for _ in range(10)])
set_option("print.expand_frame_repr", False)
rep_str = repr(df)
set_option("print.expand_frame_repr", True)
wide_repr = repr(df)
self.assert_(rep_str != wide_repr)
with option_context("print.line_width", 120):
wider_repr = repr(df)
self.assert_(len(wider_repr) < len(wide_repr))
reset_option("print.expand_frame_repr")
def test_wide_repr_unicode(self):
with option_context('mode.sim_interactive', True):
col = lambda l, k: [tm.randu(k) for _ in xrange(l)]
df = DataFrame([col(20, 25) for _ in range(10)])
set_option('display.expand_frame_repr', False)
rep_str = repr(df)
set_option('display.expand_frame_repr', True)
wide_repr = repr(df)
self.assert_(rep_str != wide_repr)
with option_context('display.line_width', 120):
wider_repr = repr(df)
self.assert_(len(wider_repr) < len(wide_repr))
reset_option('display.expand_frame_repr')
def test_wide_repr_unicode(self):
with option_context('mode.sim_interactive', True):
col = lambda l, k: [tm.randu(k) for _ in xrange(l)]
df = DataFrame([col(20, 25) for _ in range(10)])
set_option('display.expand_frame_repr', False)
rep_str = repr(df)
set_option('display.expand_frame_repr', True)
wide_repr = repr(df)
self.assert_(rep_str != wide_repr)
with option_context('display.line_width', 120):
wider_repr = repr(df)
self.assert_(len(wider_repr) < len(wide_repr))
reset_option('display.expand_frame_repr')
def test_wide_repr_unicode(self):
set_option('test.interactive', True)
col = lambda l, k: [tm.randu(k) for _ in xrange(l)]
df = DataFrame([col(20, 25) for _ in range(10)])
set_option('print.expand_frame_repr', False)
rep_str = repr(df)
set_option('print.expand_frame_repr', True)
wide_repr = repr(df)
self.assert_(rep_str != wide_repr)
set_option('print.line_width', 120)
wider_repr = repr(df)
self.assert_(len(wider_repr) < len(wide_repr))
reset_option('print.expand_frame_repr')
set_option('test.interactive', False)
set_option('print.line_width', 80)
def test_wide_repr_multiindex_cols(self):
with option_context("mode.sim_interactive", True):
col = lambda l, k: [tm.rands(k) for _ in xrange(l)]
midx = pandas.MultiIndex.from_arrays([np.array(col(10, 5)), np.array(col(10, 5))])
mcols = pandas.MultiIndex.from_arrays([np.array(col(20, 3)), np.array(col(20, 3))])
df = DataFrame([col(20, 25) for _ in range(10)], index=midx, columns=mcols)
df.index.names = ["Level 0", "Level 1"]
set_option("display.expand_frame_repr", False)
rep_str = repr(df)
set_option("display.expand_frame_repr", True)
wide_repr = repr(df)
self.assert_(rep_str != wide_repr)
with option_context("display.line_width", 120):
wider_repr = repr(df)
self.assert_(len(wider_repr) < len(wide_repr))
self.assert_(len(wide_repr.splitlines()) == 14 * 10 - 1)
reset_option("display.expand_frame_repr")
def test_wide_repr_named(self):
with option_context('mode.sim_interactive', True):
col = lambda l, k: [tm.rands(k) for _ in xrange(l)]
df = DataFrame([col(20, 25) for _ in range(10)])
df.index.name = 'DataFrame Index'
set_option('display.expand_frame_repr', False)
rep_str = repr(df)
set_option('display.expand_frame_repr', True)
wide_repr = repr(df)
self.assert_(rep_str != wide_repr)
with option_context('display.line_width', 120):
wider_repr = repr(df)
self.assert_(len(wider_repr) < len(wide_repr))
for line in wide_repr.splitlines()[1::13]:
self.assert_('DataFrame Index' in line)
reset_option('display.expand_frame_repr')
def test_wide_repr_named(self):
with option_context('mode.sim_interactive', True):
col = lambda l, k: [tm.rands(k) for _ in xrange(l)]
df = DataFrame([col(20, 25) for _ in range(10)])
df.index.name = 'DataFrame Index'
set_option('display.expand_frame_repr', False)
rep_str = repr(df)
set_option('display.expand_frame_repr', True)
wide_repr = repr(df)
self.assert_(rep_str != wide_repr)
with option_context('display.line_width', 120):
wider_repr = repr(df)
self.assert_(len(wider_repr) < len(wide_repr))
for line in wide_repr.splitlines()[1::13]:
self.assert_('DataFrame Index' in line)
reset_option('display.expand_frame_repr')
def test_wide_repr_multiindex(self):
with option_context("mode.sim_interactive", True):
col = lambda l, k: [tm.rands(k) for _ in xrange(l)]
midx = pandas.MultiIndex.from_arrays([np.array(col(10, 5)), np.array(col(10, 5))])
df = DataFrame([col(20, 25) for _ in range(10)], index=midx)
df.index.names = ["Level 0", "Level 1"]
set_option("print.expand_frame_repr", False)
rep_str = repr(df)
set_option("print.expand_frame_repr", True)
wide_repr = repr(df)
self.assert_(rep_str != wide_repr)
with option_context("print.line_width", 120):
wider_repr = repr(df)
self.assert_(len(wider_repr) < len(wide_repr))
for line in wide_repr.splitlines()[1::13]:
self.assert_("Level 0 Level 1" in line)
reset_option("print.expand_frame_repr")
def reset_printoptions():
import warnings
warnings.warn("reset_printoptions is deprecated, use reset_option instead",
FutureWarning)
reset_option("^print\.")
def reset_printoptions():
reset_option("^print_config\.")
def reset_printoptions():
reset_option("^print_config\.")
def reset_printoptions():
import warnings
warnings.warn("reset_printoptions is deprecated, use reset_option instead",
FutureWarning)
reset_option("^display\.")