Python pandas.util.testing.reset_display_options() Examples
The following are 30
code examples of pandas.util.testing.reset_display_options().
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Example #1
| Source File: test_format.py From predictive-maintenance-using-machine-learning with Apache License 2.0 | 6 votes |
|
def test_repr_html(self):
self.frame._repr_html_()
fmt.set_option('display.max_rows', 1, 'display.max_columns', 1)
self.frame._repr_html_()
fmt.set_option('display.notebook_repr_html', False)
self.frame._repr_html_()
tm.reset_display_options()
df = DataFrame([[1, 2], [3, 4]])
fmt.set_option('display.show_dimensions', True)
assert '2 rows' in df._repr_html_()
fmt.set_option('display.show_dimensions', False)
assert '2 rows' not in df._repr_html_()
tm.reset_display_options()
Example #2
| Source File: test_format.py From twitter-stock-recommendation with MIT License | 6 votes |
|
def test_repr_html(self):
self.frame._repr_html_()
fmt.set_option('display.max_rows', 1, 'display.max_columns', 1)
self.frame._repr_html_()
fmt.set_option('display.notebook_repr_html', False)
self.frame._repr_html_()
tm.reset_display_options()
df = DataFrame([[1, 2], [3, 4]])
fmt.set_option('display.show_dimensions', True)
assert '2 rows' in df._repr_html_()
fmt.set_option('display.show_dimensions', False)
assert '2 rows' not in df._repr_html_()
tm.reset_display_options()
Example #3
| Source File: test_format.py From recruit with Apache License 2.0 | 6 votes |
|
def test_repr_html(self):
self.frame._repr_html_()
fmt.set_option('display.max_rows', 1, 'display.max_columns', 1)
self.frame._repr_html_()
fmt.set_option('display.notebook_repr_html', False)
self.frame._repr_html_()
tm.reset_display_options()
df = DataFrame([[1, 2], [3, 4]])
fmt.set_option('display.show_dimensions', True)
assert '2 rows' in df._repr_html_()
fmt.set_option('display.show_dimensions', False)
assert '2 rows' not in df._repr_html_()
tm.reset_display_options()
Example #4
| Source File: test_format.py From vnpy_crypto with MIT License | 6 votes |
|
def test_repr_html(self):
self.frame._repr_html_()
fmt.set_option('display.max_rows', 1, 'display.max_columns', 1)
self.frame._repr_html_()
fmt.set_option('display.notebook_repr_html', False)
self.frame._repr_html_()
tm.reset_display_options()
df = DataFrame([[1, 2], [3, 4]])
fmt.set_option('display.show_dimensions', True)
assert '2 rows' in df._repr_html_()
fmt.set_option('display.show_dimensions', False)
assert '2 rows' not in df._repr_html_()
tm.reset_display_options()
Example #5
| Source File: test_format.py From elasticintel with GNU General Public License v3.0 | 6 votes |
|
def test_repr_html(self):
self.frame._repr_html_()
fmt.set_option('display.max_rows', 1, 'display.max_columns', 1)
self.frame._repr_html_()
fmt.set_option('display.notebook_repr_html', False)
self.frame._repr_html_()
tm.reset_display_options()
df = DataFrame([[1, 2], [3, 4]])
fmt.set_option('display.show_dimensions', True)
assert '2 rows' in df._repr_html_()
fmt.set_option('display.show_dimensions', False)
assert '2 rows' not in df._repr_html_()
tm.reset_display_options()
Example #6
| Source File: test_eng_formatting.py From elasticintel with GNU General Public License v3.0 | 5 votes |
|
def test_eng_float_formatter(self):
df = DataFrame({'A': [1.41, 141., 14100, 1410000.]})
fmt.set_eng_float_format()
result = df.to_string()
expected = (' A\n'
'0 1.410E+00\n'
'1 141.000E+00\n'
'2 14.100E+03\n'
'3 1.410E+06')
assert result == expected
fmt.set_eng_float_format(use_eng_prefix=True)
result = df.to_string()
expected = (' A\n'
'0 1.410\n'
'1 141.000\n'
'2 14.100k\n'
'3 1.410M')
assert result == expected
fmt.set_eng_float_format(accuracy=0)
result = df.to_string()
expected = (' A\n'
'0 1E+00\n'
'1 141E+00\n'
'2 14E+03\n'
'3 1E+06')
assert result == expected
tm.reset_display_options()
Example #7
| Source File: test_format.py From predictive-maintenance-using-machine-learning with Apache License 2.0 | 5 votes |
|
def test_fake_qtconsole_repr_html(self):
def get_ipython():
return {'config': {'KernelApp':
{'parent_appname': 'ipython-qtconsole'}}}
repstr = self.frame._repr_html_()
assert repstr is not None
fmt.set_option('display.max_rows', 5, 'display.max_columns', 2)
repstr = self.frame._repr_html_()
assert 'class' in repstr # info fallback
tm.reset_display_options()
Example #8
| Source File: test_eng_formatting.py From predictive-maintenance-using-machine-learning with Apache License 2.0 | 5 votes |
|
def test_eng_float_formatter(self):
df = DataFrame({'A': [1.41, 141., 14100, 1410000.]})
fmt.set_eng_float_format()
result = df.to_string()
expected = (' A\n'
'0 1.410E+00\n'
'1 141.000E+00\n'
'2 14.100E+03\n'
'3 1.410E+06')
assert result == expected
fmt.set_eng_float_format(use_eng_prefix=True)
result = df.to_string()
expected = (' A\n'
'0 1.410\n'
'1 141.000\n'
'2 14.100k\n'
'3 1.410M')
assert result == expected
fmt.set_eng_float_format(accuracy=0)
result = df.to_string()
expected = (' A\n'
'0 1E+00\n'
'1 141E+00\n'
'2 14E+03\n'
'3 1E+06')
assert result == expected
tm.reset_display_options()
Example #9
| Source File: test_eng_formatting.py From predictive-maintenance-using-machine-learning with Apache License 2.0 | 5 votes |
|
def test_nan(self):
# Issue #11981
formatter = fmt.EngFormatter(accuracy=1, use_eng_prefix=True)
result = formatter(np.nan)
assert result == u('NaN')
df = pd.DataFrame({'a': [1.5, 10.3, 20.5],
'b': [50.3, 60.67, 70.12],
'c': [100.2, 101.33, 120.33]})
pt = df.pivot_table(values='a', index='b', columns='c')
fmt.set_eng_float_format(accuracy=1)
result = pt.to_string()
assert 'NaN' in result
tm.reset_display_options()
Example #10
| Source File: test_multi.py From elasticintel with GNU General Public License v3.0 | 5 votes |
|
def test_format_sparse_config(self):
warn_filters = warnings.filters
warnings.filterwarnings('ignore', category=FutureWarning,
module=".*format")
# GH1538
pd.set_option('display.multi_sparse', False)
result = self.index.format()
assert result[1] == 'foo two'
tm.reset_display_options()
warnings.filters = warn_filters
Example #11
| Source File: test_repr_info.py From elasticintel with GNU General Public License v3.0 | 5 votes |
|
def test_repr_unsortable(self):
# columns are not sortable
import warnings
warn_filters = warnings.filters
warnings.filterwarnings('ignore',
category=FutureWarning,
module=".*format")
unsortable = DataFrame({'foo': [1] * 50,
datetime.today(): [1] * 50,
'bar': ['bar'] * 50,
datetime.today() + timedelta(1): ['bar'] * 50},
index=np.arange(50))
repr(unsortable)
fmt.set_option('display.precision', 3, 'display.column_space', 10)
repr(self.frame)
fmt.set_option('display.max_rows', 10, 'display.max_columns', 2)
repr(self.frame)
fmt.set_option('display.max_rows', 1000, 'display.max_columns', 1000)
repr(self.frame)
tm.reset_display_options()
warnings.filters = warn_filters
Example #12
| Source File: test_format.py From elasticintel with GNU General Public License v3.0 | 5 votes |
|
def test_eng_float_formatter(self):
self.frame.loc[5] = 0
fmt.set_eng_float_format()
repr(self.frame)
fmt.set_eng_float_format(use_eng_prefix=True)
repr(self.frame)
fmt.set_eng_float_format(accuracy=0)
repr(self.frame)
tm.reset_display_options()
Example #13
| Source File: test_format.py From elasticintel with GNU General Public License v3.0 | 5 votes |
|
def test_to_string_left_justify_cols(self):
tm.reset_display_options()
df = DataFrame({'x': [3234, 0.253]})
df_s = df.to_string(justify='left')
expected = (' x \n' '0 3234.000\n' '1 0.253')
assert df_s == expected
Example #14
| Source File: test_format.py From elasticintel with GNU General Public License v3.0 | 5 votes |
|
def test_fake_qtconsole_repr_html(self):
def get_ipython():
return {'config': {'KernelApp':
{'parent_appname': 'ipython-qtconsole'}}}
repstr = self.frame._repr_html_()
assert repstr is not None
fmt.set_option('display.max_rows', 5, 'display.max_columns', 2)
repstr = self.frame._repr_html_()
assert 'class' in repstr # info fallback
tm.reset_display_options()
Example #15
| Source File: test_format.py From predictive-maintenance-using-machine-learning with Apache License 2.0 | 5 votes |
|
def test_to_string_format_inf(self):
# Issue #24861
tm.reset_display_options()
df = DataFrame({
'A': [-np.inf, np.inf, -1, -2.1234, 3, 4],
'B': [-np.inf, np.inf, 'foo', 'foooo', 'fooooo', 'bar']
})
result = df.to_string()
expected = (' A B\n'
'0 -inf -inf\n'
'1 inf inf\n'
'2 -1.0000 foo\n'
'3 -2.1234 foooo\n'
'4 3.0000 fooooo\n'
'5 4.0000 bar')
assert result == expected
df = DataFrame({
'A': [-np.inf, np.inf, -1., -2., 3., 4.],
'B': [-np.inf, np.inf, 'foo', 'foooo', 'fooooo', 'bar']
})
result = df.to_string()
expected = (' A B\n'
'0 -inf -inf\n'
'1 inf inf\n'
'2 -1.0 foo\n'
'3 -2.0 foooo\n'
'4 3.0 fooooo\n'
'5 4.0 bar')
assert result == expected
Example #16
| Source File: test_eng_formatting.py From elasticintel with GNU General Public License v3.0 | 5 votes |
|
def test_nan(self):
# Issue #11981
formatter = fmt.EngFormatter(accuracy=1, use_eng_prefix=True)
result = formatter(np.nan)
assert result == u('NaN')
df = pd.DataFrame({'a': [1.5, 10.3, 20.5],
'b': [50.3, 60.67, 70.12],
'c': [100.2, 101.33, 120.33]})
pt = df.pivot_table(values='a', index='b', columns='c')
fmt.set_eng_float_format(accuracy=1)
result = pt.to_string()
assert 'NaN' in result
tm.reset_display_options()
Example #17
| Source File: test_format.py From coffeegrindsize with MIT License | 5 votes |
|
def test_format_sparse_config(idx):
warn_filters = warnings.filters
warnings.filterwarnings('ignore', category=FutureWarning,
module=".*format")
# GH1538
pd.set_option('display.multi_sparse', False)
result = idx.format()
assert result[1] == 'foo two'
tm.reset_display_options()
warnings.filters = warn_filters
Example #18
| Source File: test_multi.py From twitter-stock-recommendation with MIT License | 5 votes |
|
def test_format_sparse_config(self):
warn_filters = warnings.filters
warnings.filterwarnings('ignore', category=FutureWarning,
module=".*format")
# GH1538
pd.set_option('display.multi_sparse', False)
result = self.index.format()
assert result[1] == 'foo two'
tm.reset_display_options()
warnings.filters = warn_filters
Example #19
| Source File: test_repr_info.py From twitter-stock-recommendation with MIT License | 5 votes |
|
def test_repr_unsortable(self):
# columns are not sortable
import warnings
warn_filters = warnings.filters
warnings.filterwarnings('ignore',
category=FutureWarning,
module=".*format")
unsortable = DataFrame({'foo': [1] * 50,
datetime.today(): [1] * 50,
'bar': ['bar'] * 50,
datetime.today() + timedelta(1): ['bar'] * 50},
index=np.arange(50))
repr(unsortable)
fmt.set_option('display.precision', 3, 'display.column_space', 10)
repr(self.frame)
fmt.set_option('display.max_rows', 10, 'display.max_columns', 2)
repr(self.frame)
fmt.set_option('display.max_rows', 1000, 'display.max_columns', 1000)
repr(self.frame)
tm.reset_display_options()
warnings.filters = warn_filters
Example #20
| Source File: test_format.py From twitter-stock-recommendation with MIT License | 5 votes |
|
def test_eng_float_formatter(self):
self.frame.loc[5] = 0
fmt.set_eng_float_format()
repr(self.frame)
fmt.set_eng_float_format(use_eng_prefix=True)
repr(self.frame)
fmt.set_eng_float_format(accuracy=0)
repr(self.frame)
tm.reset_display_options()
Example #21
| Source File: test_format.py From twitter-stock-recommendation with MIT License | 5 votes |
|
def test_to_string_left_justify_cols(self):
tm.reset_display_options()
df = DataFrame({'x': [3234, 0.253]})
df_s = df.to_string(justify='left')
expected = (' x \n' '0 3234.000\n' '1 0.253')
assert df_s == expected
Example #22
| Source File: test_format.py From twitter-stock-recommendation with MIT License | 5 votes |
|
def test_fake_qtconsole_repr_html(self):
def get_ipython():
return {'config': {'KernelApp':
{'parent_appname': 'ipython-qtconsole'}}}
repstr = self.frame._repr_html_()
assert repstr is not None
fmt.set_option('display.max_rows', 5, 'display.max_columns', 2)
repstr = self.frame._repr_html_()
assert 'class' in repstr # info fallback
tm.reset_display_options()
Example #23
| Source File: test_eng_formatting.py From twitter-stock-recommendation with MIT License | 5 votes |
|
def test_eng_float_formatter(self):
df = DataFrame({'A': [1.41, 141., 14100, 1410000.]})
fmt.set_eng_float_format()
result = df.to_string()
expected = (' A\n'
'0 1.410E+00\n'
'1 141.000E+00\n'
'2 14.100E+03\n'
'3 1.410E+06')
assert result == expected
fmt.set_eng_float_format(use_eng_prefix=True)
result = df.to_string()
expected = (' A\n'
'0 1.410\n'
'1 141.000\n'
'2 14.100k\n'
'3 1.410M')
assert result == expected
fmt.set_eng_float_format(accuracy=0)
result = df.to_string()
expected = (' A\n'
'0 1E+00\n'
'1 141E+00\n'
'2 14E+03\n'
'3 1E+06')
assert result == expected
tm.reset_display_options()
Example #24
| Source File: test_eng_formatting.py From twitter-stock-recommendation with MIT License | 5 votes |
|
def test_nan(self):
# Issue #11981
formatter = fmt.EngFormatter(accuracy=1, use_eng_prefix=True)
result = formatter(np.nan)
assert result == u('NaN')
df = pd.DataFrame({'a': [1.5, 10.3, 20.5],
'b': [50.3, 60.67, 70.12],
'c': [100.2, 101.33, 120.33]})
pt = df.pivot_table(values='a', index='b', columns='c')
fmt.set_eng_float_format(accuracy=1)
result = pt.to_string()
assert 'NaN' in result
tm.reset_display_options()
Example #25
| Source File: test_format.py From vnpy_crypto with MIT License | 5 votes |
|
def test_eng_float_formatter(self):
self.frame.loc[5] = 0
fmt.set_eng_float_format()
repr(self.frame)
fmt.set_eng_float_format(use_eng_prefix=True)
repr(self.frame)
fmt.set_eng_float_format(accuracy=0)
repr(self.frame)
tm.reset_display_options()
Example #26
| Source File: test_repr_info.py From recruit with Apache License 2.0 | 5 votes |
|
def test_repr_unsortable(self):
# columns are not sortable
import warnings
warn_filters = warnings.filters
warnings.filterwarnings('ignore',
category=FutureWarning,
module=".*format")
unsortable = DataFrame({'foo': [1] * 50,
datetime.today(): [1] * 50,
'bar': ['bar'] * 50,
datetime.today() + timedelta(1): ['bar'] * 50},
index=np.arange(50))
repr(unsortable)
fmt.set_option('display.precision', 3, 'display.column_space', 10)
repr(self.frame)
fmt.set_option('display.max_rows', 10, 'display.max_columns', 2)
repr(self.frame)
fmt.set_option('display.max_rows', 1000, 'display.max_columns', 1000)
repr(self.frame)
tm.reset_display_options()
warnings.filters = warn_filters
Example #27
| Source File: test_format.py From recruit with Apache License 2.0 | 5 votes |
|
def test_eng_float_formatter(self):
self.frame.loc[5] = 0
fmt.set_eng_float_format()
repr(self.frame)
fmt.set_eng_float_format(use_eng_prefix=True)
repr(self.frame)
fmt.set_eng_float_format(accuracy=0)
repr(self.frame)
tm.reset_display_options()
Example #28
| Source File: test_format.py From recruit with Apache License 2.0 | 5 votes |
|
def test_to_string_left_justify_cols(self):
tm.reset_display_options()
df = DataFrame({'x': [3234, 0.253]})
df_s = df.to_string(justify='left')
expected = (' x \n' '0 3234.000\n' '1 0.253')
assert df_s == expected
Example #29
| Source File: test_format.py From recruit with Apache License 2.0 | 5 votes |
|
def test_to_string_format_inf(self):
# Issue #24861
tm.reset_display_options()
df = DataFrame({
'A': [-np.inf, np.inf, -1, -2.1234, 3, 4],
'B': [-np.inf, np.inf, 'foo', 'foooo', 'fooooo', 'bar']
})
result = df.to_string()
expected = (' A B\n'
'0 -inf -inf\n'
'1 inf inf\n'
'2 -1.0000 foo\n'
'3 -2.1234 foooo\n'
'4 3.0000 fooooo\n'
'5 4.0000 bar')
assert result == expected
df = DataFrame({
'A': [-np.inf, np.inf, -1., -2., 3., 4.],
'B': [-np.inf, np.inf, 'foo', 'foooo', 'fooooo', 'bar']
})
result = df.to_string()
expected = (' A B\n'
'0 -inf -inf\n'
'1 inf inf\n'
'2 -1.0 foo\n'
'3 -2.0 foooo\n'
'4 3.0 fooooo\n'
'5 4.0 bar')
assert result == expected
Example #30
| Source File: test_format.py From recruit with Apache License 2.0 | 5 votes |
|
def test_fake_qtconsole_repr_html(self):
def get_ipython():
return {'config': {'KernelApp':
{'parent_appname': 'ipython-qtconsole'}}}
repstr = self.frame._repr_html_()
assert repstr is not None
fmt.set_option('display.max_rows', 5, 'display.max_columns', 2)
repstr = self.frame._repr_html_()
assert 'class' in repstr # info fallback
tm.reset_display_options()
