Plot a bar using matplotlib using a dictionary

Is there any way to plot a bar plot using matplotlib using data directly from a dict?

My dict looks like this:

    D = {u'Label1':26, u'Label2': 17, u'Label3':30}

I was expecting

    fig = plt.figure(figsize=(5.5,3),dpi=300)
    ax = fig.add_subplot(111)
    bar =,range(1,len(D)+1,1),0.5)

to work, but it does not.

Here is the error:

    Traceback (most recent call last):
      File "<stdin>", line 1, in <module>
      File "/usr/local/lib/python2.7/site-packages/matplotlib/", line 4904, in bar
      File "/usr/local/lib/python2.7/site-packages/matplotlib/", line 1570, in add_patch
      File "/usr/local/lib/python2.7/site-packages/matplotlib/", line 1588, in _update_patch_limits
        xys = patch.get_patch_transform().transform(vertices)
      File "/usr/local/lib/python2.7/site-packages/matplotlib/", line 580, in get_patch_transform
      File "/usr/local/lib/python2.7/site-packages/matplotlib/", line 576, in _update_patch_transform
        bbox = transforms.Bbox.from_bounds(x, y, width, height)
      File "/usr/local/lib/python2.7/site-packages/matplotlib/", line 786, in from_bounds
        return Bbox.from_extents(x0, y0, x0 + width, y0 + height)
    TypeError: coercing to Unicode: need string or buffer, float found

You can do it in two lines by first plotting the bar chart and then setting the appropriate ticks:

    import matplotlib.pyplot as plt

    D = {u'Label1':26, u'Label2': 17, u'Label3':30}, list(D.values()), align='center')
    plt.xticks(range(len(D)), list(D.keys()))
    # # for python 2.x:
    #, D.values(), align='center')  # python 2.x
    # plt.xticks(range(len(D)), D.keys())  # in python 2.x

Note that the penultimate line should read plt.xticks(range(len(D)), list(D.keys())) in python3, because D.keys() returns a generator, which matplotlib cannot use directly.