How to hide ticks label in python but keep the ticks in place?

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星月不相逢
星月不相逢 2020-12-16 09:09

I want to hide my ticks label on a plot I created, but keep this tick itself (the little marks on the axis). When I try to use what I\'ve found here, for example, the entire

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  • 2020-12-16 09:26

    I didn't find divenex's answer to work for me. This answer creates ticks without triggering any automatic labeling, hence no requirement to use "labelbottom= False":

    if the bottom and left ticks already exist:

    import matplotlib.pyplot as plt
    
    fig, ax = plt.subplots()
    plt.plot([1,2,3],[4,5,6])
    
    ax.tick_params(right= True,top= True)
    

    if no ticks already exist:

    import matplotlib.pyplot as plt
    
    fig, ax = plt.subplots()
    plt.plot([1,2,3],[4,5,6])
    
    ax.tick_params(right= True,top= True,left= True, bottom= True)
    
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  • 2020-12-16 09:33

    Here is a slightly simpler answer, using ax.tick_params

    import matplotlib.pylab as plt
    
    fig, ax = plt.subplots()
    plt.plot([1,2,3],[4,5,6])
    
    ax.tick_params(labelbottom=False)    
    
    plt.show()
    

    Here is the resulting output in Matplotlib 3

    As commented by @chris, one can similarly hide the labels on any of the other axes using labeltop, labelleft, labelright, in the above example, instead of labelbottom.

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  • 2020-12-16 09:35

    Set the tick labels not to be an empty array, but to be a list of empty strings. In the example below, I've replaced the xtick labels with empty strings, leaving the y axis untouched. From here you can selectively keep certain labels if you wished.

    import pylab as plt
    
    fig, ax = plt.subplots()
    ax.plot([1,2,3],[4,5,6])
    
    labels = [item.get_text() for item in ax.get_xticklabels()]
    
    empty_string_labels = ['']*len(labels)
    ax.set_xticklabels(empty_string_labels)
    
    plt.show()
    

    enter image description here

    This code is adapted from a previous answer.

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