本文整理汇总了Python中matplotlib.mlab.rec2csv方法的典型用法代码示例。如果您正苦于以下问题：Python mlab.rec2csv方法的具体用法？Python mlab.rec2csv怎么用？Python mlab.rec2csv使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类matplotlib.mlab的用法示例。
在下文中一共展示了mlab.rec2csv方法的6个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: test_recarray_csv_roundtrip
# 需要导入模块: from matplotlib import mlab [as 别名]
# 或者: from matplotlib.mlab import rec2csv [as 别名]
def test_recarray_csv_roundtrip(self):
expected = np.recarray((99,),
[(str('x'), np.float),
(str('y'), np.float),
(str('t'), np.float)])
# initialising all values: uninitialised memory sometimes produces
# floats that do not round-trip to string and back.
expected['x'][:] = np.linspace(-1e9, -1, 99)
expected['y'][:] = np.linspace(1, 1e9, 99)
expected['t'][:] = np.linspace(0, 0.01, 99)
mlab.rec2csv(expected, self.fd)
self.fd.seek(0)
actual = mlab.csv2rec(self.fd)
assert_allclose(expected['x'], actual['x'])
assert_allclose(expected['y'], actual['y'])
assert_allclose(expected['t'], actual['t']) 示例2: test_recarray_csv_roundtrip
# 需要导入模块: from matplotlib import mlab [as 别名]
# 或者: from matplotlib.mlab import rec2csv [as 别名]
def test_recarray_csv_roundtrip(tempcsv):
expected = np.recarray((99,),
[(str('x'), float),
(str('y'), float),
(str('t'), float)])
# initialising all values: uninitialised memory sometimes produces
# floats that do not round-trip to string and back.
expected['x'][:] = np.linspace(-1e9, -1, 99)
expected['y'][:] = np.linspace(1, 1e9, 99)
expected['t'][:] = np.linspace(0, 0.01, 99)
with pytest.warns(MatplotlibDeprecationWarning):
mlab.rec2csv(expected, tempcsv)
tempcsv.seek(0)
actual = mlab.csv2rec(tempcsv)
assert_allclose(expected['x'], actual['x'])
assert_allclose(expected['y'], actual['y'])
assert_allclose(expected['t'], actual['t']) 示例3: test_rec2csv_bad_shape_ValueError
# 需要导入模块: from matplotlib import mlab [as 别名]
# 或者: from matplotlib.mlab import rec2csv [as 别名]
def test_rec2csv_bad_shape_ValueError(self):
bad = np.recarray((99, 4), [(str('x'), np.float),
(str('y'), np.float)])
# the bad recarray should trigger a ValueError for having ndim > 1.
assert_raises(ValueError, mlab.rec2csv, bad, self.fd) 示例4: test_recarray_csv_roundtrip
# 需要导入模块: from matplotlib import mlab [as 别名]
# 或者: from matplotlib.mlab import rec2csv [as 别名]
def test_recarray_csv_roundtrip(tempcsv):
expected = np.recarray((99,), [('x', float), ('y', float), ('t', float)])
# initialising all values: uninitialised memory sometimes produces
# floats that do not round-trip to string and back.
expected['x'][:] = np.linspace(-1e9, -1, 99)
expected['y'][:] = np.linspace(1, 1e9, 99)
expected['t'][:] = np.linspace(0, 0.01, 99)
with pytest.warns(MatplotlibDeprecationWarning):
mlab.rec2csv(expected, tempcsv)
tempcsv.seek(0)
actual = mlab.csv2rec(tempcsv)
assert_allclose(expected['x'], actual['x'])
assert_allclose(expected['y'], actual['y'])
assert_allclose(expected['t'], actual['t']) 示例5: test_rec2csv_bad_shape_ValueError
# 需要导入模块: from matplotlib import mlab [as 别名]
# 或者: from matplotlib.mlab import rec2csv [as 别名]
def test_rec2csv_bad_shape_ValueError(tempcsv):
bad = np.recarray((99, 4), [('x', float), ('y', float)])
# the bad recarray should trigger a ValueError for having ndim > 1.
with pytest.warns(MatplotlibDeprecationWarning):
with pytest.raises(ValueError):
mlab.rec2csv(bad, tempcsv) 示例6: test_rec2csv_bad_shape_ValueError
# 需要导入模块: from matplotlib import mlab [as 别名]
# 或者: from matplotlib.mlab import rec2csv [as 别名]
def test_rec2csv_bad_shape_ValueError(tempcsv):
bad = np.recarray((99, 4), [(str('x'), float),
(str('y'), float)])
# the bad recarray should trigger a ValueError for having ndim > 1.
with pytest.warns(MatplotlibDeprecationWarning):
with pytest.raises(ValueError):
mlab.rec2csv(bad, tempcsv)