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Excel数据处理库:强大功能全解析

在前文中我们已经讲过, 操作EXCEL的库存在着相当多的数量, 而在本篇文章里将着重予以介绍, 其中EXCEL是当中一个广受欢迎的数据处理库, 它能够提供诸多具备强大功能的数据结构以及数据分析工具, 进而让数据处理变得简便且高效。

适用于处理以下类型的数据:

它的主要数据结构包含(一维数据)以及(二维数据), 这两种数据结构能够处理金融、统计、社会科学、工程等领域当中的大部分典型用例。对于 R 用户而言, 它具备比 R 语言 data.frame 更为丰富的功能。它是基于 NumPy 开发而成的, 能够与其他第三方科学计算支持库实现完美集成。

除了之外, 还给出了好多别的数据结构以及分析工具, 像、Merge、Join等等。是用于给数据进行分组与此同时予以聚合的工具, 它能够依照指定的列或者表达式把数据分组, 并且针对每个组开展聚合操作。Merge和Join是用来把多个数据集进行合并的工具, 它们能够按照指定的列或者表达式将数据集合并一块儿。

除数据处理之外,还给出了好多数据可视化工具, 例如 Plot 和 Axes, 其中 Plot 能用于绘制各类图表, 诸如折线图解、柱状图解、饼状图解等, Axes 是类似的绘图对象, 它可用于绘制诸多图案样式, 并对各类输出存储进行支持。

总而言之, 它是极为强大极其厉害的数据处理库, 它给出了好多好多简单且高效的数据结构, 以及数目众多的数据分析工具, 从而真的让数据处理变得简便而且极具直观性。要是你需要开展数据处理以及进行精细深度分析, 那么无疑势必必会是上乘不错的选择。Csdn.tphep.cN/Article/details/69291.shtml
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