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<p>我想从以下数据创建绘图:</p>
<pre><code>timeArray= ['11:47:46.585', '11:47:46.695', '11:47:46.805', '11:47:46.915', '11:47:47.025', '11:47:47.135', '11:47:47.245', '11:47:47.355', '11:47:47.465', '11:47:47.575', '11:47:47.685', '11:47:47.795', '11:47:47.905', '11:47:48.015', '11:47:48.125', '11:47:48.235', '11:47:48.345', '11:47:48.455', '11:47:48.565', '11:47:48.675', '11:47:48.785', '11:47:48.895', '11:47:49.005', '11:47:49.115', '11:47:49.225', '11:47:49.335', '11:47:49.445', '11:47:49.555', '11:47:49.665', '11:47:49.775', '11:47:49.885', '11:47:49.995', '11:47:50.105', '11:47:50.215', '11:47:50.325', '11:47:50.435', '11:47:50.545', '11:47:50.655', '11:47:50.765', '11:47:50.875', '11:47:50.985', '11:47:51.095', '11:47:51.205', '11:47:51.315', '11:47:51.425', '11:47:51.535', '11:47:51.645', '11:47:51.755', '11:47:51.865', '11:47:51.975', '11:47:52.085', '11:47:52.195', '11:47:52.305', '11:47:52.415']
valueArray = [10382.0, 8372.0, 11117.0, 11804.0, 10164.0, 10221.0, 10488.0, 7910.0, 12911.0, 11422.0, 15361.0, 15424.0, 10629.0, 14993.0, 13827.0, 15164.0, 10514.0, 10356.0, 14638.0, 12272.0, 14980.0, 14391.0, 12984.0, 18967.0, 15792.0, 14753.0, 16205.0, 19187.0, 13922.0, 10787.0, 14500.0, 12918.0, 13985.0, 14695.0, 14014.0, 12087.0, 12163.0, 11424.0, 8598.0, 8573.0, 9986.0, 10315.0, 11449.0, 9146.0, 11160.0, 6861.0, 10211.0, 9097.0, 8443.0, 5446.0, 6354.0, 6829.0, 5786.0, 7860.0]
</code></pre>
<p>timeArray将是x轴,valueArray将是y轴。在</p>
<p>绘图线如下:</p>
^{pr2}$
<p>我得到了这张图:<a href="https://i.stack.imgur.com/6TSJM.png" rel="nofollow noreferrer">overlap time axis</a></p>
<p>我已经用过:<code>plt.gcf().autofmt_xdate()</code>,但仍有一次超过下一次。在</p>
<p>我也尝试过:</p>
<pre><code>xaxis = np.linspace(min(timeArray),max(timeArray), 10)
plt.xticks(xaxis)
</code></pre>
<p>但我得到了<code>typeError: ufunc 'multiply' did not contain a loop with signature matching types dtype('<U32') dtype('<U32') dtype('<U32')</code></p>
<p>有没有一种简单的方法可以保持数据的原样,但不必每次都以微秒显示?在</p>