Pandas timeseries plot – setting x-axis major and minor ticks and labels

I’ve asked this question on StackOverflow (, but couldn’t include images because I haven’t posted on stackOverflow before. So here it is, with the images.

I want to be able to set the major and minor xticks and their labels for a time series graph plotted from a Pandas time series object.

The Pandas 0.9 “what’s new” page says: “you can either use to_pydatetime or register a converter for the Timestamp type” but I can’t work out how to do that so that I can use the matplotlib ax.xaxis.set_major_locator ax.xaxis.set_major_formatter (and minor) commands.

If I use them without converting the pandas times, the x-axis ticks and labels end up wrong.

By using the ‘xticks’ parameter I can pass the major ticks to pandas.plot, and then set the major tick labels. I can’t work out how to do the minor ticks using this approach. (I can set the labels on the default minor ticks set by pandas.plot)

Here is my test code:

and it’s output:

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