基于python的csv文件数据可视化分析工具

# CsvDataAnalyzer A CSV file data analyzer using pure Python. ## Table of contents * [About this repository](#about-this-repository) * [Gallery](#gallery) * [Requirements](#requirements) * [Getting Started](#getting-started) * [How to use](#how-to-use) * [Reading CSV file](#reading-csv-file) * [Calculating Statics](#calculating-statics) * [Creating Graph](#creating-graph) * [2D Line Graph](#2d-line-graph) * [2D Scatter Graph](#2d-scatter-graph) * [3D Line Graph](#3d-line-graph) * [3D Scatter Graph](#3d-scatter-graph) * [Histogram](#histogram) * [Axis Equal](#axis-equal) * [Kernel Density Estimation](#kernel-density-estimation) * [License](#license) * [Author](#author) ## About this repository This is a CSV file data analyzer based on Python. Features: 1. Easy to use. 2. Statistics(Sum, Mean, Std, Max and Min) of each data are calculated automatically. 3. It can create multiple 2/3D graph. ## Gallery * Launched on Windows 10  ## Requirements * Python 3.6.x or higher * matplotlib * mpl_toolkits * numpy * seaborn * pandas * tkinter ## Getting Started 1. Clone this repository. 2. Install required libraries. 3. Execute the following command and a GUI will be opened. ```shell script $ python src/CsvDataAnalyzer.py ```  ## How to use ### Reading CSV file * "Files" at left top of GUI -> "Read csv file"  * A file dialog will be oped. * Multiple CSV files can be selected too.  * Reading will finish like this.  ### Calculating Statics * Max, Min, Mean and Sigma(Std) will be calculated automatically. * Those values are displayed on GUI.  ### Creating Graph * Select data you want to analyze on GUI. * Selected data is colored blue by left click.  * Set data to X axis by pushing "X Data Set".  * Set another data to Y axis by pushing "Y Data Set".  * Select plot color from pull-down menu.  ### 2D Line Graph * After setting data, select "Create 2D Line" from "Figures" menu.  * A empty figure will be opened.  * On the figure, click the right button. -> The 2D line graph will be shown.  * Another data can be shown on the same figure.  ### 2D Scatter Graph * After setting data, select "Create 2D Scatter" from "Figures" menu.  * By following the above procedure, the 2D scatter graph will be shown.  * By setting a color data to "C Data Set", a heatmap can be created.   * You can set min/max velues of color bar.   ### 3D Line Graph * After setting data, select "Create 3D Line" from "Figures" menu.  * Set another data to "Z Data Set".  * By following the above procedure, a 3D line graph will be shown.  ### 3D Scatter Graph * After setting data, select "Create 3D Scatter" from "Figures" menu.  * By following the above procedure, a 3D scatter graph will be shown.  * 3D heatmap can be created too.  ### Histogram * After setting data, select "Create 3D Histgram" from "Figures" menu.  * This histogram shows X data distribution.  ### Axis Equal * You can switch ON/OFF from a pull-down menu "Axis Equal"".  ### Kernel Density Estimation * When a histogram graph is created, you can show a kernel density function together.  * You can switch ON/OFF from a pull-down menu "Hist KDE".  ## License MIT