知行编程网知行编程网  2022-05-31 06:00 知行编程网 |  隐藏边栏 |   抢沙发 |  19 
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太强大了！一款可以像操作Excel一样玩Pandas的可视化神器来了！

Pandas这个库对Python来说太重要啦！因为它的出现，让Python进行数据分析如虎添翼，作为Python里面最最牛逼的库之一，它在数据处理和数据分析方面，拥有极大的优势，受到数据科学开发者的广大欢迎。


小编最近在逛GitHub的时候，发现了一款神器，一款神器分析Pandas DataFrames的图形化界面，可以帮助我们对数据集进行可视化的处理，非常不错！


太强大了！一款可以像操作Excel一样玩Pandas的可视化神器来了！




01

如何安装


安装步骤其安装步骤十分简单，只需要使用pip命令安装即可。

<span style="font-size: 16px;font-family: Optima-Regular, PingFangTC-light;">pip3 install pandasgui<br  /><span style="color: rgb(128, 128, 128);">#清华镜像<br  /></span>pip3 install -i https://pypi.tuna.tsinghua.edu.cn/simple pandasgui</span>


建议大家用清华镜像安装，这样会稳定而且快很多。




02

功能特点


PandasGUI是一个交互式的数据操作界面，类似于Excel，但是其对于数据处理更加方便快捷，共拥有7项功能特点：

  • 查看DataFrames和Series数据

  • 交互式绘图

  • 数据筛选

  • 统计摘要

  • 数据编辑和复制/粘贴

  • 拖放导入CSV文件

  • 搜索工具栏



03

使用方式


启动PandasGUI的方式，代码也十分简单,只需要导入相关库，获取DataFrames数据并显示就好了。示例代码如下：

太强大了！一款可以像操作Excel一样玩Pandas的可视化神器来了！


然后我们就可以看到一个图像化的界面了。

太强大了！一款可以像操作Excel一样玩Pandas的可视化神器来了！



04

实战练习


这次我们拿大名鼎鼎的泰坦尼克数据集来做练习，一起看一下用这款神器如何分析，还是用上面的几行示例代码来启动PandaGui:

太强大了！一款可以像操作Excel一样玩Pandas的可视化神器来了！

在首页中我们可以看到数据的大小维数（第一个红框）891*12，以及我们选择的六个菜单栏：DataFrame，Filters，Statistics，Grapher，Reshaper等，六个菜单栏可以按照自己所需调整到不同区域方便操作。


太强大了！一款可以像操作Excel一样玩Pandas的可视化神器来了！

上图展示小编将过滤器和统计调整在右边的画面，大家可根据需求进行自行调整，下面将对菜单栏分别进行学习操作。

  • DataFrame

    这里对数据进行展示，当我们想要查看数据时，点击DataFrame便可查看。

  • Filters数据筛选

    这是一个可以根据输入条件对数据进行初步筛选的交互界面，只需要将条件输入框中，点击ADD Filter按钮即可，在这里，小编输入了Survived == 1、Age>30、Sex == "male"三个条件，但是之选中了其中两个条件，其过滤结果如下图所示。

太强大了！一款可以像操作Excel一样玩Pandas的可视化神器来了！

  • Statistics统计菜单栏

    显示了数据各个变量之间的统计结果，包含了每个变量的数据类型，总数，平均值，最大值，最小值等。

太强大了！一款可以像操作Excel一样玩Pandas的可视化神器来了！

  • Grapher画图菜单栏

    提供了直方图、散点图、折线图、饼状图、词云等12种图像格式，用户可以根据需求选取变量绘制相应的图形。


太强大了！一款可以像操作Excel一样玩Pandas的可视化神器来了！


下面以直方图和词云为例子向大家进行展示：

太强大了！一款可以像操作Excel一样玩Pandas的可视化神器来了！


上图绘制了年龄大于30的船上游客的年龄直方图，可以看到Filter工具在画图时仍可以同时使用。


太强大了！一款可以像操作Excel一样玩Pandas的可视化神器来了！

上图以名字为例子，绘制了船上人员名字的词云图。


  • ReshaperReshaper菜单栏

    展示了了对原始数据进行重新组合为新DataFrames的功能。它包含了DataFrames的基本属性，实际上代表了DataFrames的两个方法，df.melt(),df.pivot()，以图像化的形式进行了展现。这里以pivot进行展示：pivot()参数：values：对应的二维NumPy值数组。columns：列索引：列名称。index：行的索引：行号或行名。aggfun: 使用方法


太强大了！一款可以像操作Excel一样玩Pandas的可视化神器来了！


上图中以Sex为行索引，Age为列索引，Fare系统值，操作后的表格展示为：


太强大了！一款可以像操作Excel一样玩Pandas的可视化神器来了！


在上图中，我们可以看到，在最左边增加了df_pivot的DataFrames数据，每操作一次，会增加一个DataFrames数据，并在左边显示，新增之后的DataFrames数据依然适用于之前所有的操作。此外，新生成的DataFrames可以直接拖拽在文件夹生成新的csv文件，保存方便。


到这里，小编的探索就结束了，有了这个工具，大家就可以像操作Excel一样操作Dataframe数据，迅速获取有用的信息，不知道大家有没有心动呢！



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146, 214); text-align: center; letter-spacing: 1.5px; background-image: url('https://www.zkxjob.com/wp-content/uploads/2022/05/wxsync-2022-05-a2a8a5e1e58f30392066a170034ee027.png'); background-size: 100% 100%; background-repeat: no-repeat; overflow-wrap: break-word !important;" data-darkmode-bgcolor-15870356070738="rgb(36, 36, 36)" data-darkmode-original-bgcolor-15870356070738="rgb(255, 255, 255)" data-darkmode-color-15870356070738="rgb(230, 230, 230)" data-darkmode-original-color-15870356070738="rgb(0, 0, 0)" data-darkmode-bgimage-15870356070738="1" data-darkmode-bgcolor-15870356071023="rgb(36, 36, 36)" data-darkmode-original-bgcolor-15870356071023="rgb(255, 255, 255)" data-darkmode-color-15870356071023="rgb(230, 230, 230)" data-darkmode-original-color-15870356071023="rgb(0, 0, 0)" data-darkmode-bgimage-15870356071023="1" data-darkmode-bgcolor-15882384789136="rgb(36, 36, 36)" data-darkmode-original-bgcolor-15882384789136="rgb(255, 255, 255)" data-darkmode-color-15882384789136="rgb(230, 230, 230)" data-darkmode-original-color-15882384789136="rgb(0, 0, 0)" data-darkmode-bgimage-15882384789136="1" data-darkmode-bgcolor-15882396318564="rgb(36, 36, 36)" data-darkmode-original-bgcolor-15882396318564="rgb(255, 255, 255)" data-darkmode-color-15882396318564="rgb(230, 230, 230)" data-darkmode-original-color-15882396318564="rgb(0, 0, 0)" data-darkmode-bgimage-15882396318564="1" data-darkmode-bgcolor-15900529136199="rgb(36, 36, 36)" data-darkmode-original-bgcolor-15900529136199="rgb(255, 255, 255)" data-darkmode-color-15900529136199="rgb(230, 230, 230)" data-darkmode-original-color-15900529136199="rgb(0, 0, 0)" data-darkmode-bgimage-15900529136199="1" style="padding: 18px 15px 20px 10px;background-size: 100% 100%;background-image: url('https://www.zkxjob.com/wp-content/uploads/2022/05/wxsync-2022-05-a2a8a5e1e58f30392066a170034ee027.png');color: rgb(86, 146, 214);letter-spacing: 1.5px;background-repeat: no-repeat;"><section data-darkmode-bgcolor-15860613985508="rgb(36, 36, 36)" data-darkmode-original-bgcolor-15860613985508="rgb(255, 255, 255)" data-darkmode-color-15860613985508="rgb(230, 230, 230)" data-darkmode-original-color-15860613985508="rgb(0, 0, 0)" data-darkmode-bgimage-15860613985508="1" data-darkmode-bgcolor-15870356070738="rgb(36, 36, 36)" data-darkmode-original-bgcolor-15870356070738="rgb(255, 255, 255)" data-darkmode-color-15870356070738="rgb(230, 230, 230)" data-darkmode-original-color-15870356070738="rgb(0, 0, 0)" data-darkmode-bgimage-15870356070738="1" data-darkmode-bgcolor-15870356071023="rgb(36, 36, 36)" data-darkmode-original-bgcolor-15870356071023="rgb(255, 255, 255)" data-darkmode-color-15870356071023="rgb(230, 230, 230)" data-darkmode-original-color-15870356071023="rgb(0, 0, 0)" data-darkmode-bgimage-15870356071023="1" data-darkmode-bgcolor-15882384789136="rgb(36, 36, 36)" data-darkmode-original-bgcolor-15882384789136="rgb(255, 255, 255)" data-darkmode-color-15882384789136="rgb(230, 230, 230)" data-darkmode-original-color-15882384789136="rgb(0, 0, 0)" data-darkmode-bgimage-15882384789136="1" data-darkmode-bgcolor-15882396318564="rgb(36, 36, 36)" data-darkmode-original-bgcolor-15882396318564="rgb(255, 255, 255)" data-darkmode-color-15882396318564="rgb(230, 230, 230)" data-darkmode-original-color-15882396318564="rgb(0, 0, 0)" data-darkmode-bgimage-15882396318564="1" data-darkmode-bgcolor-15900529136199="rgb(36, 36, 36)" data-darkmode-original-bgcolor-15900529136199="rgb(255, 255, 255)" data-darkmode-color-15900529136199="rgb(230, 230, 230)" data-darkmode-original-color-15900529136199="rgb(0, 0, 0)" data-darkmode-bgimage-15900529136199="1" style="display: flex;justify-content: center;align-items: center;"><section data-darkmode-bgcolor-15860613985508="rgb(36, 36, 36)" data-darkmode-original-bgcolor-15860613985508="rgb(255, 255, 255)" data-darkmode-color-15860613985508="rgb(230, 230, 230)" data-darkmode-original-color-15860613985508="rgb(0, 0, 0)" data-darkmode-bgimage-15860613985508="1" data-darkmode-bgcolor-15870356070738="rgb(36, 36, 36)" data-darkmode-original-bgcolor-15870356070738="rgb(255, 255, 255)" data-darkmode-color-15870356070738="rgb(230, 230, 230)" data-darkmode-original-color-15870356070738="rgb(0, 0, 0)" data-darkmode-bgimage-15870356070738="1" data-darkmode-bgcolor-15870356071023="rgb(36, 36, 36)" data-darkmode-original-bgcolor-15870356071023="rgb(255, 255, 255)" data-darkmode-color-15870356071023="rgb(230, 230, 230)" data-darkmode-original-color-15870356071023="rgb(0, 0, 0)" data-darkmode-bgimage-15870356071023="1" data-darkmode-bgcolor-15882384789136="rgb(36, 36, 36)" data-darkmode-original-bgcolor-15882384789136="rgb(255, 255, 255)" data-darkmode-color-15882384789136="rgb(230, 230, 230)" data-darkmode-original-color-15882384789136="rgb(0, 0, 0)" data-darkmode-bgimage-15882384789136="1" data-darkmode-bgcolor-15882396318564="rgb(36, 36, 36)" data-darkmode-original-bgcolor-15882396318564="rgb(255, 255, 255)" data-darkmode-color-15882396318564="rgb(230, 230, 230)" data-darkmode-original-color-15882396318564="rgb(0, 0, 0)" data-darkmode-bgimage-15882396318564="1" data-darkmode-bgcolor-15900529136199="rgb(36, 36, 36)" data-darkmode-original-bgcolor-15900529136199="rgb(255, 255, 255)" data-darkmode-color-15900529136199="rgb(230, 230, 230)" data-darkmode-original-color-15900529136199="rgb(0, 0, 0)" data-darkmode-bgimage-15900529136199="1" style="margin-left: 2px;width: 20px;"></section><section data-brushtype="text" data-darkmode-bgcolor-15860613985508="rgb(36, 36, 36)" data-darkmode-original-bgcolor-15860613985508="rgb(255, 255, 255)" data-darkmode-color-15860613985508="rgb(51, 51, 51)" data-darkmode-original-color-15860613985508="rgb(51, 51, 51)" data-darkmode-bgimage-15860613985508="1" data-darkmode-bgcolor-15870356070738="rgb(36, 36, 36)" data-darkmode-original-bgcolor-15870356070738="rgb(255, 255, 255)" data-darkmode-color-15870356070738="rgb(51, 51, 51)" data-darkmode-original-color-15870356070738="rgb(51, 51, 51)" data-darkmode-bgimage-15870356070738="1" data-darkmode-bgcolor-15870356071023="rgb(36, 36, 36)" data-darkmode-original-bgcolor-15870356071023="rgb(255, 255, 255)" data-darkmode-color-15870356071023="rgb(51, 51, 51)" data-darkmode-original-color-15870356071023="rgb(51, 51, 51)" data-darkmode-bgimage-15870356071023="1" data-darkmode-bgcolor-15882384789136="rgb(36, 36, 36)" data-darkmode-original-bgcolor-15882384789136="rgb(255, 255, 255)" data-darkmode-color-15882384789136="rgb(51, 51, 51)" data-darkmode-original-color-15882384789136="rgb(51, 51, 51)" data-darkmode-bgimage-15882384789136="1" data-darkmode-bgcolor-15882396318564="rgb(36, 36, 36)" data-darkmode-original-bgcolor-15882396318564="rgb(255, 255, 255)" data-darkmode-color-15882396318564="rgb(51, 51, 51)" data-darkmode-original-color-15882396318564="rgb(51, 51, 51)" data-darkmode-bgimage-15882396318564="1" data-darkmode-bgcolor-15900529136199="rgb(36, 36, 36)" data-darkmode-original-bgcolor-15900529136199="rgb(255, 255, 255)" data-darkmode-color-15900529136199="rgb(51, 51, 51)" data-darkmode-original-color-15900529136199="rgb(51, 51, 51)" data-darkmode-bgimage-15900529136199="1" style="font-size: 14px;color: rgb(51, 51, 51);text-align: left;"><span style="font-family: 楷体, 楷体_GB2312, SimKai;">点这里，获取一大波福利</span><span style="font-family: mp-quote, -apple-system-font, BlinkMacSystemFont, 'Helvetica Neue', 'PingFang SC', 'Hiragino Sans GB', 'Microsoft YaHei UI', 'Microsoft YaHei', Arial, sans-serif;font-size: 17px;text-align: justify;"></span></section></section></section></section></section></section></section>

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