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    <p>One way to do it is to use the minor ticks. The idea is that you set the minor ticks so that they are located halfway between the major ticks, and you manually specify the labels.</p> <p>For example:</p> <pre><code>import matplotlib.ticker as ticker # a is an axes object, e.g. from figure.get_axes() # Hide major tick labels a.xaxis.set_major_formatter(ticker.NullFormatter()) # Customize minor tick labels a.xaxis.set_minor_locator(ticker.FixedLocator([1.5,2.5,3.5,4.5,5.5])) a.xaxis.set_minor_formatter(ticker.FixedFormatter(['1','2','3','4','5'])) </code></pre> <p>The three lines:</p> <ul> <li>"Hide" the 1,2,3,4,... that you have on the major ticks</li> <li>Set minor ticks halfway between the major ticks (assuming your major ticks are at 1,2,3...)</li> <li>Manually specifies the labels for the minor ticks. Here, '1' would be between 1.0 and 2.0 on the graph.</li> </ul> <p>This is just a simple example. You would probably want to streamline it a bit by populating the lists in a loop or something.</p> <p>You can also experiment with other <a href="http://matplotlib.org/api/ticker_api.html" rel="noreferrer">locators or formatters</a>.</p> <p><strong>Edit:</strong> Alternatively, as suggested in the comments:</p> <pre><code># Hide major tick labels a.set_xticklabels('') # Customize minor tick labels a.set_xticks([1.5,2.5,3.5,4.5,5.5], minor=True) a.set_xticklabels(['1','2','3','4','5'], minor=True) </code></pre> <hr> <h3>Example:</h3> <p><strong>Before:</strong> <img src="https://i.stack.imgur.com/LoiF5.png" alt="Before"></p> <p><strong>After:</strong> <img src="https://i.stack.imgur.com/vNWuD.png" alt="enter image description here"></p>
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    1. POCentering x-tick labels between tick marks in matplotlib
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    1. COThanks, I'll try this out. Is there a way to return the already existing x-axis tick labels as a list which I can use for this? I've looked through the documentation but haven't had much luck.
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      1. USOsmond Bishop
    2. CO`a.xaxis.get_majorticklabels()` returns an iterable which you can loop over with something like `for tl in a.xaxis.get_majorticklabels()`. But beware that the elements of this list aren't strings as you might expect but instead `matplotlib.text.Text` objects. To get the string you'd want something like: `[tl.get_text() for tl in a.xaxis.get_majorticklabels()]`. An important note though is that these values aren't determined until the plot is actually drawn. So they're not really a good way to get the labels. You'd be much better off getting the values directly from your data.
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    3. COMy x-axis is made up of half hourly data so instead of creating the locations I just added the following: `ax.xaxis.set_minor_formatter(myFmt)` `ax.xaxis.set_minor_locator(matplotlib.dates.HourLocator(interval=12))` and changed my major formatter to what you did, `ax.xaxis.set_major_formatter(ticker.NullFormatter())` but for some reason it doesn't hide the major tick labels, is there anything else I might be missing?
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