rohitgupta
diff --git a/‎examples/lines_bars_and_markers/errorbar_limits_simple.py
Copy file name to clipboardExpand all lines: examples/lines_bars_and_markers/errorbar_limits_simple.py
+26-14Lines changed: 26 additions & 14 deletions b/‎examples/lines_bars_and_markers/errorbar_limits_simple.py
Copy file name to clipboardExpand all lines: examples/lines_bars_and_markers/errorbar_limits_simple.py
+26-14Lines changed: 26 additions & 14 deletions
@@ -1,9 +1,12 @@
 """
-===============
-Errorbar Limits
-===============
+========================
+Errorbar limit selection
+========================
 
-Illustration of upper and lower limit symbols on errorbars.
+Illustration of selectively drawing lower and/or upper limit symbols on
+errorbars using the parameters ``uplims``, ``lolims`` of `~.pyplot.errorbar`.
+
+Alternatively, you can use 2xN values to draw errorbars in only one direction.
 """
 
 import numpy as np
@@ -12,36 +15,45 @@
 
 fig = plt.figure()
 x = np.arange(10)
-y = np.sin(x / 20 * np.pi)
+y = 2.5 * np.sin(x / 20 * np.pi)
 yerr = np.linspace(0.05, 0.2, 10)
 
-plt.errorbar(x, y, yerr=yerr)
+plt.errorbar(x, y + 3, yerr=yerr, label='both limits (default)')
 
-plt.errorbar(x, y + 1, yerr=yerr, uplims=True)
+plt.errorbar(x, y + 2, yerr=yerr, uplims=True, label='uplims=True')
 
-plt.errorbar(x, y + 2, yerr=yerr, uplims=True, lolims=True)
+plt.errorbar(x, y + 1, yerr=yerr, uplims=True, lolims=True,
+             label='uplims=True, lolims=True')
 
 upperlimits = [True, False] * 5
 lowerlimits = [False, True] * 5
-plt.errorbar(x, y + 3, yerr=yerr, uplims=upperlimits, lolims=lowerlimits)
+plt.errorbar(x, y, yerr=yerr, uplims=upperlimits, lolims=lowerlimits,
+             label='subsets of uplims and lolims')
+
+plt.legend(loc='lower right')
+
 
-###############################################################################
+##############################################################################
+# Similarly ``xuplims``and ``xlolims`` can be used on the horizontal ``xerr``
+# errorbars.
 
 fig = plt.figure()
 x = np.arange(10) / 10
 y = (x + 0.1)**2
 
-plt.errorbar(x, y, xerr=0.1, xlolims=True)
+plt.errorbar(x, y, xerr=0.1, xlolims=True, label='xlolims=True')
 y = (x + 0.1)**3
 
-plt.errorbar(x + 0.6, y, xerr=0.1, xuplims=upperlimits, xlolims=lowerlimits)
+plt.errorbar(x + 0.6, y, xerr=0.1, xuplims=upperlimits, xlolims=lowerlimits,
+             label='subsets of xuplims and xlolims')
 
 y = (x + 0.1)**4
-plt.errorbar(x + 1.2, y, xerr=0.1, xuplims=True)
+plt.errorbar(x + 1.2, y, xerr=0.1, xuplims=True, label='xuplims=True')
 
+plt.legend()
 plt.show()
 
-#############################################################################
+##############################################################################
 #
 # ------------
 #