ENH: Dictionary based hatch for df.plot

[Wheest]

Is your feature request related to a problem?

When using df.plot, we can set the colors of bars using a dictionary, e.g.:

df = pd.DataFrame(np.random.rand(10, 4), columns=["a", "b", "c", "d"])

colors = {"a": "red", "b": "blue", "c": "green", "d": "red"}
df.plot(kind="bar", color=colors, hatch="/");

However, we cannot do the same with hatches. This can only be set on a global level as far as I can tell.

Describe the solution you'd like

DataFrame.plot() should be able to take a dictionary of hatches, and set them in the same way as color.

E.g.,

df = pd.DataFrame(np.random.rand(10, 4), columns=["a", "b", "c", "d"])

colors = {"a": "red", "b": "blue", "c": "green", "d": "red"}
hatches = {"a": "/", "b": "o", "c": "", "d": "x"}

df.plot(kind="bar", color=colors, hatch=hatches);

Describe alternatives you've considered

There are StackOverflow discussions of this feature, where users have suggested hacks and workarounds to this, using native matplotlib.

E.g. this answer

bars = ax.patches
patterns =('-', '+', 'x','/','//','O','o','\\','\\\\')
hatches = [p for p in patterns for i in range(len(df))]
for bar, hatch in zip(bars, hatches):
    bar.set_hatch(hatch)

However, having it integrated in pandas, with the advantages of using a dictionary of column names would be preferable.

[brurosa]

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