目录

一、PandasGUI简介

Pandasgui为pandas创建了一个GUI界面，我们可以在其中使用pandas的功能分析数据和使用不同的功能，以便可视化和分析数据，并执行探索性数据分析。
官网地址：https://github.com/adamerose/PandasGUI
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安装方法
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使用说明
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功能简介
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其他说明
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二、下载安装

依赖有点多，建议利用国内源下载

pip install -i https://pypi.douban.com/simple pandasgui

(env_study) PS E:\python_study\env_study> pip install -i https://pypi.douban.com/simple pandasgui
Looking in indexes: https://pypi.douban.com/simple
Collecting pandasgui
  Downloading https://pypi.doubanio.com/packages/70/60/dfbe9817d621bb6868427283273e17c1209d0c5b763106a75acccd44ebda/pandasgui-0.2.13.tar.gz (215 kB)
     |████████████████████████████████| 215 kB 285 kB/s
Requirement already satisfied: pandas in e:\python_study\env_study\lib\site-packages (from pandasgui) (1.3.1)
Requirement already satisfied: numpy in e:\python_study\env_study\lib\site-packages (from pandasgui) (1.21.1)
Requirement already satisfied: PyQt5 in e:\python_study\env_study\lib\site-packages (from pandasgui) (5.15.4)
Requirement already satisfied: PyQt5-sip in e:\python_study\env_study\lib\site-packages (from pandasgui) (12.9.0)
Collecting PyQtWebEngine
  Downloading https://pypi.doubanio.com/packages/2d/f7/624ebcd03ce03287d017d7ec586c51c95212e0cd5904df15fa3215aa91b6/PyQtWebEngine-5.15.4-cp36.cp37.cp38.cp39-none-win_amd64.whl
 (182 kB)
     |████████████████████████████████| 182 kB 177 kB/s
Requirement already satisfied: plotly in e:\python_study\env_study\lib\site-packages (from pandasgui) (5.1.0)
Collecting wordcloud
  Downloading https://pypi.doubanio.com/packages/be/33/5bdd39587f0e8ede3fe12d9d16d6f1fb5e7a43f29621604a949ee362d013/wordcloud-1.8.1.tar.gz (220 kB)
     |████████████████████████████████| 220 kB 504 kB/s
Requirement already satisfied: setuptools in e:\python_study\env_study\lib\site-packages (from pandasgui) (57.1.0)
Collecting appdirs
  Downloading https://pypi.doubanio.com/packages/3b/00/2344469e2084fb287c2e0b57b72910309874c3245463acd6cf5e3db69324/appdirs-1.4.4-py2.py3-none-any.whl (9.6 kB)
Requirement already satisfied: pynput in e:\python_study\env_study\lib\site-packages (from pandasgui) (1.7.3)
Collecting IPython
  Downloading https://pypi.doubanio.com/packages/76/d1/e6166fc278a0aab9c2997ae241346837368fc9aa0c6eea9b0dbe2d727004/ipython-7.28.0-py3-none-any.whl (788 kB)
     |████████████████████████████████| 788 kB 501 kB/s
Collecting pyarrow
  Downloading https://pypi.doubanio.com/packages/c2/34/a45df90ac2bb9c5565cfa65f7bc9875b5eedf3a84a22af1f013d8c5d7097/pyarrow-5.0.0-cp39-cp39-win_amd64.whl (14.5 MB)
     |████████████████████████████████| 14.5 MB 2.2 MB/s
Collecting astor
  Downloading https://pypi.doubanio.com/packages/c3/88/97eef84f48fa04fbd6750e62dcceafba6c63c81b7ac1420856c8dcc0a3f9/astor-0.8.1-py2.py3-none-any.whl (27 kB)
Collecting typing-extensions
  Downloading https://pypi.doubanio.com/packages/74/60/18783336cc7fcdd95dae91d73477830aa53f5d3181ae4fe20491d7fc3199/typing_extensions-3.10.0.2-py3-none-any.whl (26 kB)
Collecting qtstylish>=0.1.2
  Downloading https://pypi.doubanio.com/packages/b5/b6/77b24a0111fbfa7f1822c70070c91f0f00fcda696f35ecc13e806e0ac54d/qtstylish-0.1.5.tar.gz (983 kB)
     |████████████████████████████████| 983 kB 939 kB/s
Collecting traitlets>=4.2
  Downloading https://pypi.doubanio.com/packages/38/4c/466298b114eea62f300dbef98cc2c33c6cbc439f1f71bc199c674ae23c2c/traitlets-5.1.0-py3-none-any.whl (101 kB)
     |████████████████████████████████| 101 kB 1.1 MB/s
Collecting pygments
  Downloading https://pypi.doubanio.com/packages/78/c8/8d9be2f72d8f465461f22b5f199c04f7ada933add4dae6e2468133c17471/Pygments-2.10.0-py3-none-any.whl (1.0 MB)
     |████████████████████████████████| 1.0 MB 595 kB/s
Collecting jedi>=0.16
  Downloading https://pypi.doubanio.com/packages/f9/36/7aa67ae2663025b49e8426ead0bad983fee1b73f472536e9790655da0277/jedi-0.18.0-py2.py3-none-any.whl (1.4 MB)
     |████████████████████████████████| 1.4 MB 652 kB/s
Collecting pickleshare
  Downloading https://pypi.doubanio.com/packages/9a/41/220f49aaea88bc6fa6cba8d05ecf24676326156c23b991e80b3f2fc24c77/pickleshare-0.7.5-py2.py3-none-any.whl (6.9 kB)
Collecting matplotlib-inline
  Downloading https://pypi.doubanio.com/packages/a6/2d/2230afd570c70074e80fd06857ba2bdc5f10c055bd9125665fe276fadb67/matplotlib_inline-0.1.3-py3-none-any.whl (8.2 kB)
Requirement already satisfied: colorama in e:\python_study\env_study\lib\site-packages (from IPython->pandasgui) (0.4.4)
Collecting prompt-toolkit!=3.0.0,!=3.0.1,<3.1.0,>=2.0.0
  Downloading https://pypi.doubanio.com/packages/c6/37/ec72228971dbaf191243b8ee383c6a3834b5cde23daab066dfbfbbd5438b/prompt_toolkit-3.0.20-py3-none-any.whl (370 kB)
     |████████████████████████████████| 370 kB 1.3 MB/s
Collecting backcall
  Downloading https://pypi.doubanio.com/packages/4c/1c/ff6546b6c12603d8dd1070aa3c3d273ad4c07f5771689a7b69a550e8c951/backcall-0.2.0-py2.py3-none-any.whl (11 kB)
Collecting decorator
  Downloading https://pypi.doubanio.com/packages/3d/cc/d7b758e54779f7e465179427de7e78c601d3330d6c411ea7ba9ae2f38102/decorator-5.1.0-py3-none-any.whl (9.1 kB)
Collecting parso<0.9.0,>=0.8.0
  Downloading https://pypi.doubanio.com/packages/a9/c4/d5476373088c120ffed82f34c74b266ccae31a68d665b837354d4d8dc8be/parso-0.8.2-py2.py3-none-any.whl (94 kB)
     |████████████████████████████████| 94 kB 1.1 MB/s
Requirement already satisfied: wcwidth in e:\python_study\env_study\lib\site-packages (from prompt-toolkit!=3.0.0,!=3.0.1,<3.1.0,>=2.0.0->IPython->pandasgui) (0.2.5)
Requirement already satisfied: python-dateutil>=2.7.3 in e:\python_study\env_study\lib\site-packages (from pandas->pandasgui) (2.8.2)
Requirement already satisfied: pytz>=2017.3 in e:\python_study\env_study\lib\site-packages (from pandas->pandasgui) (2021.1)
Requirement already satisfied: six>=1.5 in e:\python_study\env_study\lib\site-packages (from python-dateutil>=2.7.3->pandas->pandasgui) (1.16.0)
Requirement already satisfied: tenacity>=6.2.0 in e:\python_study\env_study\lib\site-packages (from plotly->pandasgui) (8.0.1)
Requirement already satisfied: PyQt5-Qt5>=5.15 in e:\python_study\env_study\lib\site-packages (from PyQt5->pandasgui) (5.15.2)
Collecting PyQtWebEngine-Qt5>=5.15
  Downloading https://pypi.doubanio.com/packages/e0/db/0f29bd882aee8b5754f3e1ab104d2d09cdd9138a889558b43badcd81ce11/PyQtWebEngine_Qt5-5.15.2-py3-none-win_amd64.whl (60.0 MB)
     |████████████████████████████████| 60.0 MB 1.6 MB/s
Requirement already satisfied: pillow in e:\python_study\env_study\lib\site-packages (from wordcloud->pandasgui) (8.3.1)
Requirement already satisfied: matplotlib in e:\python_study\env_study\lib\site-packages (from wordcloud->pandasgui) (3.4.2)
Requirement already satisfied: pyparsing>=2.2.1 in e:\python_study\env_study\lib\site-packages (from matplotlib->wordcloud->pandasgui) (2.4.7)
Requirement already satisfied: cycler>=0.10 in e:\python_study\env_study\lib\site-packages (from matplotlib->wordcloud->pandasgui) (0.10.0)
Requirement already satisfied: kiwisolver>=1.0.1 in e:\python_study\env_study\lib\site-packages (from matplotlib->wordcloud->pandasgui) (1.3.1)
Building wheels for collected packages: pandasgui, qtstylish, wordcloud
  Building wheel for pandasgui (setup.py) ... done
  Created wheel for pandasgui: filename=pandasgui-0.2.13-py3-none-any.whl size=233725 sha256=64f5d850ba6cac8d2d510ee1ba58441974e48ad96b7db92dce1b679718dff0ad
  Stored in directory: c:\users\administrator\appdata\local\pip\cache\wheels\42\e3\29\f3c748ebd0327ddc1c0f9a54f7747ac48f10125435dd8334ce
  Building wheel for qtstylish (setup.py) ... done
  Created wheel for qtstylish: filename=qtstylish-0.1.5-py3-none-any.whl size=1029285 sha256=3f6dca6153389fe26f6cf8e59d1adfbae6394a03447282a3e7bd2a2ad5dc8a14
  Stored in directory: c:\users\administrator\appdata\local\pip\cache\wheels\ac\60\21\2adfa6e056d94dd686ab9165e3d61c6c589ef00bf9ad252952
  Building wheel for wordcloud (setup.py) ... done
  Created wheel for wordcloud: filename=wordcloud-1.8.1-cp39-cp39-win_amd64.whl size=154800 sha256=4d12b8f009520f8864b4ead3619d62965dbf34a5f789c65f65416ee55626c01f
  Stored in directory: c:\users\administrator\appdata\local\pip\cache\wheels\bc\9f\d5\7c5937d1f37c9a6607fdd1709263669b801c1555226371adc0
Successfully built pandasgui qtstylish wordcloud
Installing collected packages: traitlets, parso, PyQtWebEngine-Qt5, pygments, prompt-toolkit, pickleshare, matplotlib-inline, jedi, decorator, backcall, wordcloud, typing-exte
nsions, qtstylish, PyQtWebEngine, pyarrow, IPython, astor, appdirs, pandasgui
Successfully installed IPython-7.28.0 PyQtWebEngine-5.15.4 PyQtWebEngine-Qt5-5.15.2 appdirs-1.4.4 astor-0.8.1 backcall-0.2.0 decorator-5.1.0 jedi-0.18.0 matplotlib-inline-0.1.
3 pandasgui-0.2.13 parso-0.8.2 pickleshare-0.7.5 prompt-toolkit-3.0.20 pyarrow-5.0.0 pygments-2.10.0 qtstylish-0.1.5 traitlets-5.1.0 typing-extensions-3.10.0.2 wordcloud-1.8.1

(env_study) PS E:\python_study\env_study>

三、PandasGUI官网实例

3.1 官网实例导入

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3.2 静态统计

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3.3 条件过滤

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3.4 图表可视化

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3.5 数据reshape

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四、Covid-19数据展示

4.1 数据集介绍

2019-2020年世界Covid-19数据，近23万行，42列
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4.2 数据提取与准备

import pandas as pd
from pandasgui import show
import os
import datetime


# 分块
chunks = pd.read_csv("../data/covid-19.csv", chunksize=10000)   # 生成一个文本读取器，并没有真正去读文件

total = 0
file = "../data/result_分块分列.csv"
if os.path.exists(file):
    os.remove(file)

for i, df in enumerate(chunks):
    # 处理空值：删除全为空值的列
    df.dropna(how="all", inplace=True, axis=1)
    result = []
    # 拿到有用列
    df = df[['date', 'country', 'countryCode', 'confirmed']]
    for a, b, c, d in df.values:
        if not isinstance(a, str):  # 如果data不是str类型，就抛弃本行数据
            continue
        # 提取指定年月的数据
        if a.split("-")[0] == '2020' and 1 <= int(a.split("-")[1]) <= 8:
            result.append((*a.split("-"), b, d))      # 结果为 [()]，生成df时，元组列表常用
            total += 1

    df = pd.DataFrame(result, columns=["年", "月", "日", "国家", "数量"])
    df.to_csv(file, index=False, mode='a', header=not os.path.exists(file), encoding="utf-8")

df = pd.read_csv(file, converters={'年': str, '月': str, '日': str})
show(df)

4.3 可视化分析界面

  1. 数据框页面
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  2. 静态数据统计
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  3. 数据可视化
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  4. 可视化代码导出
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  5. 图表保存为png图片
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  6. 导出的图片
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  7. 查看关键参数
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  8. 折线图
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  9. 条形图
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  10. 箱型图
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  11. 小提琴图
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  12. 3D散点图
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  13. 热力图
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  14. 等高线图
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  15. 饼图
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  16. 散点图矩阵
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