def _repr_level_info(self):
""" Returns a string representation of the footer."""
max_levels = (10 if get_option("display.max_levels") == 0 else
get_option("display.max_levels"))
level_strs = fmt.format_array(self.levels.get_values(), None)
if len(level_strs) > max_levels:
num = max_levels // 2
head = level_strs[:num]
tail = level_strs[-(max_levels - num):]
level_strs = head + ["..."] + tail
# Strip all leading spaces, which format_array adds for columns...
level_strs = [x.strip() for x in level_strs]
levheader = "Levels (%d, %s): " % (len(self.levels), self.levels.dtype)
width, height = get_terminal_size()
max_width = (width if get_option("display.width") == 0 else
get_option("display.width"))
if com.in_ipython_frontend():
# 0 = no breaks
max_width = 0
levstring = ""
start = True
cur_col_len = len(levheader)
sep_len, sep = (3, " < ") if self.ordered else (2, ", ")
for val in level_strs:
if max_width != 0 and cur_col_len + sep_len + len(val) > max_width:
levstring += "\n" + (" " * len(levheader))
cur_col_len = len(levheader)
if not start:
levstring += sep
cur_col_len += len(val)
levstring += val
start = False
# replace to simple save space by
return levheader + "[" + levstring.replace(" < ... < ", " ... ") + "]"
def __unicode__(self):
width, height = get_terminal_size()
max_rows = height if get_option("display.max_rows") == 0 else get_option("display.max_rows")
if len(self.labels) > (max_rows or 1000):
result = self._tidy_repr(min(30, max_rows) - 4)
elif len(self.labels) > 0:
result = self._get_repr(length=len(self) > 50, name=True)
else:
result = "Categorical([], %s" % self._get_repr(name=True, length=False, footer=True)
return result
def __unicode__(self):
width, height = get_terminal_size()
max_rows = (height if get_option("display.max_rows") == 0 else
get_option("display.max_rows"))
if len(self.labels) > (max_rows or 1000):
result = self._tidy_repr(min(30, max_rows) - 4)
elif len(self.labels) > 0:
result = self._get_repr(length=len(self) > 50, name=True)
else:
result = 'Categorical([], %s' % self._get_repr(
name=True,
length=False,
footer=True,
)
return result
def __unicode__(self):
""" Unicode representation. """
width, height = get_terminal_size()
max_rows = (height if get_option("display.max_rows") == 0
else get_option("display.max_rows"))
if len(self._codes) > (max_rows or 1000):
result = self._tidy_repr(min(30, max_rows) - 4)
elif len(self._codes) > 0:
result = self._get_repr(length=len(self) > 50,
name=True)
else:
result = 'Categorical([], %s' % self._get_repr(name=True,
length=False,
footer=True,
).replace("\n",", ")
return result
def get_console_size():
"""Return console size as tuple = (width, height).
Returns (None,None) in non-interactive session.
"""
from pandas import get_option
from pandas.core import common as com
display_width = get_option('display.width')
# deprecated.
display_height = get_option('display.height', silent=True)
# Consider
# interactive shell terminal, can detect term size
# interactive non-shell terminal (ipnb/ipqtconsole), cannot detect term
# size non-interactive script, should disregard term size
# in addition
# width,height have default values, but setting to 'None' signals
# should use Auto-Detection, But only in interactive shell-terminal.
# Simple. yeah.
if com.in_interactive_session():
if com.in_ipython_frontend():
# sane defaults for interactive non-shell terminal
# match default for width,height in config_init
from pandas.core.config import get_default_val
terminal_width = get_default_val('display.width')
terminal_height = get_default_val('display.height')
else:
# pure terminal
terminal_width, terminal_height = get_terminal_size()
else:
terminal_width, terminal_height = None, None
# Note if the User sets width/Height to None (auto-detection)
# and we're in a script (non-inter), this will return (None,None)
# caller needs to deal.
return (display_width or terminal_width, display_height or terminal_height)
def _repr_categories_info(self):
""" Returns a string representation of the footer."""
max_categories = (10 if get_option("display.max_categories") == 0
else get_option("display.max_categories"))
category_strs = fmt.format_array(self.categories.get_values(), None)
if len(category_strs) > max_categories:
num = max_categories // 2
head = category_strs[:num]
tail = category_strs[-(max_categories - num):]
category_strs = head + ["..."] + tail
# Strip all leading spaces, which format_array adds for columns...
category_strs = [x.strip() for x in category_strs]
levheader = "Categories (%d, %s): " % (len(self.categories),
self.categories.dtype)
width, height = get_terminal_size()
max_width = (width if get_option("display.width") == 0
else get_option("display.width"))
if com.in_ipython_frontend():
# 0 = no breaks
max_width = 0
levstring = ""
start = True
cur_col_len = len(levheader)
sep_len, sep = (3, " < ") if self.ordered else (2, ", ")
for val in category_strs:
if max_width != 0 and cur_col_len + sep_len + len(val) > max_width:
levstring += "\n" + (" "* len(levheader))
cur_col_len = len(levheader)
if not start:
levstring += sep
cur_col_len += len(val)
levstring += val
start = False
# replace to simple save space by
return levheader + "["+levstring.replace(" < ... < ", " ... ")+"]"
'B': [pd.Period('2011-01', freq='M'),
pd.Period('2011-02-01', freq='D'),
pd.Period('2011-03-01 09:00', freq='H'),
pd.Period('2011-04', freq='M')],
'C': list('abcd')})
exp = (" A B C\n0 2013-01 2011-01 a\n"
"1 2013-02 2011-02-01 b\n2 2013-03 2011-03-01 09:00 c\n"
"3 2013-04 2011-04 d")
#assert(str(df) == exp)
# CORRECTIONS: remove 1 whitespace column before last column
print("--> End: Test 4 test_period <--")
# Test 5 test_repr_max_columns_max_rows
print("--> Begin: Test 5 test_repr_max_columns_max_rows <--")
term_width, term_height = get_terminal_size()
if term_width < 10 or term_height < 10:
raise nose.SkipTest("terminal size too small, "
"{0} x {1}".format(term_width, term_height))
def mkframe(n):
index = ['%05d' % i for i in range(n)]
return pd.DataFrame(0, index, index)
df6 = mkframe(6)
df10 = mkframe(10)
with pd.option_context('mode.sim_interactive', True):
with pd.option_context('display.width', term_width * 2):
with pd.option_context('display.max_rows', 5,
'display.max_columns', 5):
assert(not has_expanded_repr(mkframe(4)))
