numpy concatenate

numpy.concatenate函数用于将多个数组进行拼接。正确的使用形式是np.concatenate([a, b], axis=None)，其中a和b是要拼接的数组，axis参数指定拼接的轴方向。例如，np.concatenate([a, b])将会返回一个包含a和b数组元素的新数组。如果在使用过程中出现TypeError: concatenate() got multiple values for argument 'axis'的错误，可能是因为在函数调用时重复指定了axis参数。正确的方式是在函数调用时只指定一次axis参数，例如np.concatenate([a, b], axis=None)。<span class="em">1</span><span class="em">2</span><span class="em">3</span>
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- *1* *3* [numpy.concatenate函数用法](https://blog.csdn.net/houyushui/article/details/116894753)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v93^chatsearchT3_2"}}] [.reference_item style="max-width: 50%"]
- *2* [numpy数组拼接方法介绍](https://blog.csdn.net/zyl1042635242/article/details/43162031)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v93^chatsearchT3_2"}}] [.reference_item style="max-width: 50%"]
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