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copied!<p>I am going to assume, that because you want to display the frequencies on x-axis instead of the y-axis, that you want a horizontal bar-plot.</p> <p>Adjusting the labels to print on the x-axis instead simply requires you to use the <code>xticks</code> command:</p> <pre><code>import matplotlib.pyplot as plt import numpy as np x_values = [0.1, 0.3, 0.4, 0.2] y_values = ["word 1", "word 2", "word 3", "word 4"] y_axis = np.arange(1, 5, 1) plt.barh(y_axis, x_values, align='center') plt.yticks(y_axis, y_values) plt.show() </code></pre> <p>This will result in the following chart (but there probably is a better way that will not require you to fiddle with spacing where to display you y-labels). <img src="https://i.stack.imgur.com/xfEaa.png" alt="enter image description here"></p> <p>Actually thinking a bit more about it - I think something like the following is more what you had in mind (I think I should stop now, as it inevitably shows that I am laughably inexperienced using matplotlib):</p> <pre><code>import matplotlib.pyplot as plt import numpy as np y_values = [0.1, 0.3, 0.4, 0.2] text_values = ["word 1", "word 2", "word 3", "word 4"] x_values = np.arange(1, len(text_values) + 1, 1) plt.bar(x_values, y_values, align='center') # Decide which ticks to replace. new_ticks = ["word for " + str(y) if y != 0.3 else str(y) for y in y_values] plt.yticks(y_values, new_ticks) plt.xticks(x_values, text_values) plt.show() </code></pre> <p><img src="https://i.stack.imgur.com/KHYCB.png" alt="enter image description here"></p>

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