Python pandas.core.common._any_not_none() Examples
The following are 30
code examples of pandas.core.common._any_not_none().
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Example #1
| Source File: api.py From recruit with Apache License 2.0 | 6 votes |
|
def _get_consensus_names(indexes):
"""
Give a consensus 'names' to indexes.
If there's exactly one non-empty 'names', return this,
otherwise, return empty.
Parameters
----------
indexes : list of Index objects
Returns
-------
list
A list representing the consensus 'names' found.
"""
# find the non-none names, need to tupleify to make
# the set hashable, then reverse on return
consensus_names = {tuple(i.names) for i in indexes
if com._any_not_none(*i.names)}
if len(consensus_names) == 1:
return list(list(consensus_names)[0])
return [None] * indexes[0].nlevels
Example #2
| Source File: multi.py From recruit with Apache License 2.0 | 6 votes |
|
def _format_attrs(self):
"""
Return a list of tuples of the (attr,formatted_value)
"""
attrs = [
('levels', ibase.default_pprint(self._levels,
max_seq_items=False)),
('codes', ibase.default_pprint(self._codes,
max_seq_items=False))]
if com._any_not_none(*self.names):
attrs.append(('names', ibase.default_pprint(self.names)))
if self.sortorder is not None:
attrs.append(('sortorder', ibase.default_pprint(self.sortorder)))
return attrs
Example #3
| Source File: api.py From predictive-maintenance-using-machine-learning with Apache License 2.0 | 6 votes |
|
def _get_consensus_names(indexes):
"""
Give a consensus 'names' to indexes.
If there's exactly one non-empty 'names', return this,
otherwise, return empty.
Parameters
----------
indexes : list of Index objects
Returns
-------
list
A list representing the consensus 'names' found.
"""
# find the non-none names, need to tupleify to make
# the set hashable, then reverse on return
consensus_names = {tuple(i.names) for i in indexes
if com._any_not_none(*i.names)}
if len(consensus_names) == 1:
return list(list(consensus_names)[0])
return [None] * indexes[0].nlevels
Example #4
| Source File: api.py From elasticintel with GNU General Public License v3.0 | 5 votes |
|
def _get_consensus_names(indexes):
# find the non-none names, need to tupleify to make
# the set hashable, then reverse on return
consensus_names = set([tuple(i.names) for i in indexes
if com._any_not_none(*i.names)])
if len(consensus_names) == 1:
return list(list(consensus_names)[0])
return [None] * indexes[0].nlevels
Example #5
| Source File: _core.py From Splunking-Crime with GNU Affero General Public License v3.0 | 5 votes |
|
def _get_index_name(self):
if isinstance(self.data.index, MultiIndex):
name = self.data.index.names
if _any_not_none(*name):
name = ','.join([pprint_thing(x) for x in name])
else:
name = None
else:
name = self.data.index.name
if name is not None:
name = pprint_thing(name)
return name
Example #6
| Source File: _core.py From Splunking-Crime with GNU Affero General Public License v3.0 | 5 votes |
|
def _make_plot(self):
if self._is_ts_plot():
from pandas.plotting._timeseries import _maybe_convert_index
data = _maybe_convert_index(self._get_ax(0), self.data)
x = data.index # dummy, not used
plotf = self._ts_plot
it = self._iter_data(data=data, keep_index=True)
else:
x = self._get_xticks(convert_period=True)
plotf = self._plot
it = self._iter_data()
stacking_id = self._get_stacking_id()
is_errorbar = _any_not_none(*self.errors.values())
colors = self._get_colors()
for i, (label, y) in enumerate(it):
ax = self._get_ax(i)
kwds = self.kwds.copy()
style, kwds = self._apply_style_colors(colors, kwds, i, label)
errors = self._get_errorbars(label=label, index=i)
kwds = dict(kwds, **errors)
label = pprint_thing(label) # .encode('utf-8')
kwds['label'] = label
newlines = plotf(ax, x, y, style=style, column_num=i,
stacking_id=stacking_id,
is_errorbar=is_errorbar,
**kwds)
self._add_legend_handle(newlines[0], label, index=i)
if not _mpl_ge_2_0_0():
lines = _get_all_lines(ax)
left, right = _get_xlim(lines)
ax.set_xlim(left, right)
Example #7
| Source File: api.py From Splunking-Crime with GNU Affero General Public License v3.0 | 5 votes |
|
def _get_consensus_names(indexes):
# find the non-none names, need to tupleify to make
# the set hashable, then reverse on return
consensus_names = set([tuple(i.names) for i in indexes
if com._any_not_none(*i.names)])
if len(consensus_names) == 1:
return list(list(consensus_names)[0])
return [None] * indexes[0].nlevels
Example #8
| Source File: merge.py From Splunking-Crime with GNU Affero General Public License v3.0 | 5 votes |
|
def _any(x):
return x is not None and com._any_not_none(*x)
Example #9
| Source File: format.py From Splunking-Crime with GNU Affero General Public License v3.0 | 5 votes |
|
def _has_names(index):
if isinstance(index, MultiIndex):
return _any_not_none(*index.names)
else:
return index.name is not None
Example #10
| Source File: _core.py From elasticintel with GNU General Public License v3.0 | 5 votes |
|
def _get_index_name(self):
if isinstance(self.data.index, MultiIndex):
name = self.data.index.names
if _any_not_none(*name):
name = ','.join([pprint_thing(x) for x in name])
else:
name = None
else:
name = self.data.index.name
if name is not None:
name = pprint_thing(name)
return name
Example #11
| Source File: _core.py From elasticintel with GNU General Public License v3.0 | 5 votes |
|
def _make_plot(self):
if self._is_ts_plot():
from pandas.plotting._timeseries import _maybe_convert_index
data = _maybe_convert_index(self._get_ax(0), self.data)
x = data.index # dummy, not used
plotf = self._ts_plot
it = self._iter_data(data=data, keep_index=True)
else:
x = self._get_xticks(convert_period=True)
plotf = self._plot
it = self._iter_data()
stacking_id = self._get_stacking_id()
is_errorbar = _any_not_none(*self.errors.values())
colors = self._get_colors()
for i, (label, y) in enumerate(it):
ax = self._get_ax(i)
kwds = self.kwds.copy()
style, kwds = self._apply_style_colors(colors, kwds, i, label)
errors = self._get_errorbars(label=label, index=i)
kwds = dict(kwds, **errors)
label = pprint_thing(label) # .encode('utf-8')
kwds['label'] = label
newlines = plotf(ax, x, y, style=style, column_num=i,
stacking_id=stacking_id,
is_errorbar=is_errorbar,
**kwds)
self._add_legend_handle(newlines[0], label, index=i)
if not _mpl_ge_2_0_0():
lines = _get_all_lines(ax)
left, right = _get_xlim(lines)
ax.set_xlim(left, right)
Example #12
| Source File: merge.py From predictive-maintenance-using-machine-learning with Apache License 2.0 | 5 votes |
|
def _any(x):
return x is not None and com._any_not_none(*x)
Example #13
| Source File: merge.py From elasticintel with GNU General Public License v3.0 | 5 votes |
|
def _any(x):
return x is not None and com._any_not_none(*x)
Example #14
| Source File: format.py From elasticintel with GNU General Public License v3.0 | 5 votes |
|
def _has_names(index):
if isinstance(index, MultiIndex):
return _any_not_none(*index.names)
else:
return index.name is not None
Example #15
| Source File: _core.py From coffeegrindsize with MIT License | 5 votes |
|
def _get_index_name(self):
if isinstance(self.data.index, ABCMultiIndex):
name = self.data.index.names
if com._any_not_none(*name):
name = ','.join(pprint_thing(x) for x in name)
else:
name = None
else:
name = self.data.index.name
if name is not None:
name = pprint_thing(name)
return name
Example #16
| Source File: _core.py From coffeegrindsize with MIT License | 5 votes |
|
def _make_plot(self):
if self._is_ts_plot():
from pandas.plotting._timeseries import _maybe_convert_index
data = _maybe_convert_index(self._get_ax(0), self.data)
x = data.index # dummy, not used
plotf = self._ts_plot
it = self._iter_data(data=data, keep_index=True)
else:
x = self._get_xticks(convert_period=True)
plotf = self._plot
it = self._iter_data()
stacking_id = self._get_stacking_id()
is_errorbar = com._any_not_none(*self.errors.values())
colors = self._get_colors()
for i, (label, y) in enumerate(it):
ax = self._get_ax(i)
kwds = self.kwds.copy()
style, kwds = self._apply_style_colors(colors, kwds, i, label)
errors = self._get_errorbars(label=label, index=i)
kwds = dict(kwds, **errors)
label = pprint_thing(label) # .encode('utf-8')
kwds['label'] = label
newlines = plotf(ax, x, y, style=style, column_num=i,
stacking_id=stacking_id,
is_errorbar=is_errorbar,
**kwds)
self._add_legend_handle(newlines[0], label, index=i)
lines = _get_all_lines(ax)
left, right = _get_xlim(lines)
ax.set_xlim(left, right)
Example #17
| Source File: _core.py From twitter-stock-recommendation with MIT License | 5 votes |
|
def _get_index_name(self):
if isinstance(self.data.index, MultiIndex):
name = self.data.index.names
if com._any_not_none(*name):
name = ','.join(pprint_thing(x) for x in name)
else:
name = None
else:
name = self.data.index.name
if name is not None:
name = pprint_thing(name)
return name
Example #18
| Source File: _core.py From twitter-stock-recommendation with MIT License | 5 votes |
|
def _make_plot(self):
if self._is_ts_plot():
from pandas.plotting._timeseries import _maybe_convert_index
data = _maybe_convert_index(self._get_ax(0), self.data)
x = data.index # dummy, not used
plotf = self._ts_plot
it = self._iter_data(data=data, keep_index=True)
else:
x = self._get_xticks(convert_period=True)
plotf = self._plot
it = self._iter_data()
stacking_id = self._get_stacking_id()
is_errorbar = com._any_not_none(*self.errors.values())
colors = self._get_colors()
for i, (label, y) in enumerate(it):
ax = self._get_ax(i)
kwds = self.kwds.copy()
style, kwds = self._apply_style_colors(colors, kwds, i, label)
errors = self._get_errorbars(label=label, index=i)
kwds = dict(kwds, **errors)
label = pprint_thing(label) # .encode('utf-8')
kwds['label'] = label
newlines = plotf(ax, x, y, style=style, column_num=i,
stacking_id=stacking_id,
is_errorbar=is_errorbar,
**kwds)
self._add_legend_handle(newlines[0], label, index=i)
if not _mpl_ge_2_0_0():
lines = _get_all_lines(ax)
left, right = _get_xlim(lines)
ax.set_xlim(left, right)
Example #19
| Source File: format.py From predictive-maintenance-using-machine-learning with Apache License 2.0 | 5 votes |
|
def _has_names(index):
if isinstance(index, ABCMultiIndex):
return com._any_not_none(*index.names)
else:
return index.name is not None
Example #20
| Source File: _core.py From recruit with Apache License 2.0 | 5 votes |
|
def _get_index_name(self):
if isinstance(self.data.index, ABCMultiIndex):
name = self.data.index.names
if com._any_not_none(*name):
name = ','.join(pprint_thing(x) for x in name)
else:
name = None
else:
name = self.data.index.name
if name is not None:
name = pprint_thing(name)
return name
Example #21
| Source File: multi.py From predictive-maintenance-using-machine-learning with Apache License 2.0 | 5 votes |
|
def _format_attrs(self):
"""
Return a list of tuples of the (attr,formatted_value)
"""
attrs = [
('levels', ibase.default_pprint(self._levels,
max_seq_items=False)),
('codes', ibase.default_pprint(self._codes,
max_seq_items=False))]
if com._any_not_none(*self.names):
attrs.append(('names', ibase.default_pprint(self.names)))
if self.sortorder is not None:
attrs.append(('sortorder', ibase.default_pprint(self.sortorder)))
return attrs
Example #22
| Source File: _core.py From predictive-maintenance-using-machine-learning with Apache License 2.0 | 5 votes |
|
def _make_plot(self):
if self._is_ts_plot():
from pandas.plotting._timeseries import _maybe_convert_index
data = _maybe_convert_index(self._get_ax(0), self.data)
x = data.index # dummy, not used
plotf = self._ts_plot
it = self._iter_data(data=data, keep_index=True)
else:
x = self._get_xticks(convert_period=True)
plotf = self._plot
it = self._iter_data()
stacking_id = self._get_stacking_id()
is_errorbar = com._any_not_none(*self.errors.values())
colors = self._get_colors()
for i, (label, y) in enumerate(it):
ax = self._get_ax(i)
kwds = self.kwds.copy()
style, kwds = self._apply_style_colors(colors, kwds, i, label)
errors = self._get_errorbars(label=label, index=i)
kwds = dict(kwds, **errors)
label = pprint_thing(label) # .encode('utf-8')
kwds['label'] = label
newlines = plotf(ax, x, y, style=style, column_num=i,
stacking_id=stacking_id,
is_errorbar=is_errorbar,
**kwds)
self._add_legend_handle(newlines[0], label, index=i)
lines = _get_all_lines(ax)
left, right = _get_xlim(lines)
ax.set_xlim(left, right)
Example #23
| Source File: _core.py From predictive-maintenance-using-machine-learning with Apache License 2.0 | 5 votes |
|
def _get_index_name(self):
if isinstance(self.data.index, ABCMultiIndex):
name = self.data.index.names
if com._any_not_none(*name):
name = ','.join(pprint_thing(x) for x in name)
else:
name = None
else:
name = self.data.index.name
if name is not None:
name = pprint_thing(name)
return name
Example #24
| Source File: format.py From vnpy_crypto with MIT License | 5 votes |
|
def _has_names(index):
if isinstance(index, MultiIndex):
return com._any_not_none(*index.names)
else:
return index.name is not None
Example #25
| Source File: merge.py From vnpy_crypto with MIT License | 5 votes |
|
def _any(x):
return x is not None and com._any_not_none(*x)
Example #26
| Source File: multi.py From vnpy_crypto with MIT License | 5 votes |
|
def _format_attrs(self):
"""
Return a list of tuples of the (attr,formatted_value)
"""
attrs = [
('levels', ibase.default_pprint(self._levels,
max_seq_items=False)),
('labels', ibase.default_pprint(self._labels,
max_seq_items=False))]
if com._any_not_none(*self.names):
attrs.append(('names', ibase.default_pprint(self.names)))
if self.sortorder is not None:
attrs.append(('sortorder', ibase.default_pprint(self.sortorder)))
return attrs
Example #27
| Source File: api.py From vnpy_crypto with MIT License | 5 votes |
|
def _get_consensus_names(indexes):
# find the non-none names, need to tupleify to make
# the set hashable, then reverse on return
consensus_names = set(tuple(i.names) for i in indexes
if com._any_not_none(*i.names))
if len(consensus_names) == 1:
return list(list(consensus_names)[0])
return [None] * indexes[0].nlevels
Example #28
| Source File: _core.py From vnpy_crypto with MIT License | 5 votes |
|
def _make_plot(self):
if self._is_ts_plot():
from pandas.plotting._timeseries import _maybe_convert_index
data = _maybe_convert_index(self._get_ax(0), self.data)
x = data.index # dummy, not used
plotf = self._ts_plot
it = self._iter_data(data=data, keep_index=True)
else:
x = self._get_xticks(convert_period=True)
plotf = self._plot
it = self._iter_data()
stacking_id = self._get_stacking_id()
is_errorbar = com._any_not_none(*self.errors.values())
colors = self._get_colors()
for i, (label, y) in enumerate(it):
ax = self._get_ax(i)
kwds = self.kwds.copy()
style, kwds = self._apply_style_colors(colors, kwds, i, label)
errors = self._get_errorbars(label=label, index=i)
kwds = dict(kwds, **errors)
label = pprint_thing(label) # .encode('utf-8')
kwds['label'] = label
newlines = plotf(ax, x, y, style=style, column_num=i,
stacking_id=stacking_id,
is_errorbar=is_errorbar,
**kwds)
self._add_legend_handle(newlines[0], label, index=i)
if not _mpl_ge_2_0_0():
lines = _get_all_lines(ax)
left, right = _get_xlim(lines)
ax.set_xlim(left, right)
Example #29
| Source File: _core.py From vnpy_crypto with MIT License | 5 votes |
|
def _get_index_name(self):
if isinstance(self.data.index, MultiIndex):
name = self.data.index.names
if com._any_not_none(*name):
name = ','.join(pprint_thing(x) for x in name)
else:
name = None
else:
name = self.data.index.name
if name is not None:
name = pprint_thing(name)
return name
Example #30
| Source File: format.py From recruit with Apache License 2.0 | 5 votes |
|
def _has_names(index):
if isinstance(index, ABCMultiIndex):
return com._any_not_none(*index.names)
else:
return index.name is not None
