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a Python package for DeepEye:Towards automatic Data Visualization API

Project description


Update - 2018/10/22 v0.0.2

  1. read_csv_handld_changedate revise to pandas method
  2. both the import methods require Mandatory table_info to specify the table
  3. mysql_handle now change to pandas dataframe verison
  4. from_mysql also changes to para-method, pass port/user/db... instead of query and MySQLdb conn


  1. This is a Python package for DeepEye API,can easily visualize data without too much effort. And provide with really simple usage
  2. the DeepEye system:


  1. Python 2.7
  2. MySQL 5.7
  3. Packages
    1. mysqldb binary packages for windows: link1:
      • Download 'MySQL-python' and choose the right version for it
      • Install the .whl by wheel install
      • there is a back up version in this repository under 'mysqldb' folder
    2. numpy(latest version)
    3. pandas(latest version) above ver 0.23.0


  1. Initial
    1. example code:
    import deepeye_pack
    #create a deepeye_pack class that wraps everything
    dp = deepeye_pack.deepeye('demo') # the name here doesnt actually matter
    # then user needs to input table info
    # as in table_info(table_name,column_names,column_types)
    1. the column_types that supported by deepeye_pack are specified as below:
      1. numerical: int, float, double
      2. temporal: date, datetime, year
      3. categorical: char, varchar
  2. Import
    1. from_mysql()
      # call the from_mysql() function
      dp.from_mysql(host='localhost',port=3306,user='root',passwd='ppww',db='deepeye', query='SELECT * FROM `table_name`')
    2. from_csv()
      path = "file.csv" # the path where the file located
  3. Visualization
    # choose one from three
  4. Output
    # can use several different methods at the same time

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