Fix asymmetric error bars for series (closes #9536)

doc/source/visualization.rst

@@ -1366,9 +1366,10 @@ Horizontal and vertical errorbars can be supplied to the ``xerr`` and ``yerr`` k
 
 - As a :class:`DataFrame` or ``dict`` of errors with column names matching the ``columns`` attribute of the plotting :class:`DataFrame` or matching the ``name`` attribute of the :class:`Series`
 - As a ``str`` indicating which of the columns of plotting :class:`DataFrame` contain the error values
+- As a single ``number`` which is used as the error for every value
 - As raw values (``list``, ``tuple``, or ``np.ndarray``). Must be the same length as the plotting :class:`DataFrame`/:class:`Series`
 
-Asymmetrical error bars are also supported, however raw error values must be provided in this case. For a ``M`` length :class:`Series`, a ``Mx2`` array should be provided indicating lower and upper (or left and right) errors. For a ``MxN`` :class:`DataFrame`, asymmetrical errors should be in a ``Mx2xN`` array.
+Asymmetrical error bars are also supported, however raw error values must be provided in this case. For a ``N`` length :class:`Series`, a ``2xN`` array should be provided indicating lower and upper (or left and right) errors. For a ``MxN`` :class:`DataFrame`, asymmetrical errors should be in a ``Mx2xN`` array.
 
 Here is an example of one way to easily plot group means with standard deviations from the raw data.
 

doc/source/whatsnew/v0.18.1.txt

@@ -60,12 +60,13 @@ Other Enhancements
 - ``pd.read_msgpack()`` now always gives writeable ndarrays even when compression is used (:issue:`12359`).
 - ``Index.take`` now handles ``allow_fill`` and ``fill_value`` consistently (:issue:`12631`)
 
-.. ipython:: python
+  .. ipython:: python
 
-   idx = pd.Index([1., 2., 3., 4.], dtype='float')
-   idx.take([2, -1])     # default, allow_fill=True, fill_value=None
-   idx.take([2, -1], fill_value=True)
+     idx = pd.Index([1., 2., 3., 4.], dtype='float')
+     idx.take([2, -1])     # default, allow_fill=True, fill_value=None
+     idx.take([2, -1], fill_value=True)
 
+- ``Series.plot`` allows now asymmetric error bars in the shape of 2xN array (:issue:`9536`)
 
 .. _whatsnew_0181.api:
 

pandas/tests/test_graphics.py

@@ -1180,6 +1180,20 @@ def test_errorbar_plot(self):
         with tm.assertRaises((ValueError, TypeError)):
             s.plot(yerr=s_err)
 
+    def test_errorbar_asymmetrical(self):
+        # github issue #9536
+        s = Series(np.random.randn(5))
+        err = np.random.rand(2, 5)
+
+        ax = _check_plot_works(s.plot, yerr=err, xerr=(err / 2))
+        self._check_has_errorbars(ax, yerr=1, xerr=1)
+
+        assert_allclose(ax.lines[2].get_ydata(), s.values - err[0])
+        assert_allclose(ax.lines[3].get_ydata(), s.values + err[1])
+
+        assert_allclose(ax.lines[0].get_xdata(), s.index - (err[0] / 2))
+        assert_allclose(ax.lines[1].get_xdata(), s.index + (err[1] / 2))
+
     def test_table(self):
         _check_plot_works(self.series.plot, table=True)
         _check_plot_works(self.series.plot, table=self.series)

pandas/tools/plotting.py

@@ -1419,10 +1419,17 @@ def _parse_errorbars(self, label, err):
         Error bars can be specified in several ways:
             Series: the user provides a pandas.Series object of the same
                     length as the data
-            ndarray: provides a np.ndarray of the same length as the data
+            list_like (list/tuple/ndarray/iterator): either a list like of the
+                    same length N as the data has to be provided
+                    or a list like of the shape Mx2xN for asymmetrical error
+                    bars when plotting a DataFrame of shape MxN
+                    or a list like of the shape 2xN for asymmetrical error bars
+                    when plotting a Series.
             DataFrame/dict: error values are paired with keys matching the
                     key in the plotted DataFrame
             str: the name of the column within the plotted DataFrame
+            numeric scalar: the error provided as a number is used for every
+                    data point
         '''
 
         if err is None:
@@ -1458,22 +1465,33 @@ def match_labels(data, e):
 
         elif com.is_list_like(err):
             if com.is_iterator(err):
-                err = np.atleast_2d(list(err))
+                err = np.asanyarray(list(err))
             else:
                 # raw error values
-                err = np.atleast_2d(err)
+                err = np.asanyarray(err)
 
-            err_shape = err.shape
+            if self.nseries == 1 and err.ndim == 2 and len(err) == 2:
+                # asymmetrical errors bars for a series as a 2xN array
+                err = np.expand_dims(err, 0)
+                err_shape = err.shape
 
-            # asymmetrical error bars
-            if err.ndim == 3:
-                if (err_shape[0] != self.nseries) or \
-                        (err_shape[1] != 2) or \
-                        (err_shape[2] != len(self.data)):
+                if err_shape[2] != len(self.data):
                     msg = "Asymmetrical error bars should be provided " + \
-                        "with the shape (%u, 2, %u)" % \
-                        (self.nseries, len(self.data))
+                        "with the shape (2, %u)" % (len(self.data))
                     raise ValueError(msg)
+            else:
+                err = np.atleast_2d(err)
+                err_shape = err.shape
+
+                # asymmetrical error bars
+                if err.ndim == 3:
+                    if (err_shape[0] != self.nseries) or \
+                            (err_shape[1] != 2) or \
+                            (err_shape[2] != len(self.data)):
+                        msg = "Asymmetrical error bars should be provided " + \
+                            "with the shape (%u, 2, %u)" % \
+                            (self.nseries, len(self.data))
+                        raise ValueError(msg)
 
             # broadcast errors to each data series
             if len(err) == 1: