

"""Config file for the cleaning - plotting and notebook process"""


class CleaningConfig:

    # Unprocessed dataset
    raw_data = './dataset/raw_results-survey245554.csv'
    # load the different answers to questions to classify questions based on that
    question_file = '../../../survey_creation/uk_17/uk_17.csv'
    answer_folder = '../../../survey_creation/uk_17/listAnswers'
    # Location for the json file of all questions
    json_to_plot_location = './to_plot.json'
    cleaned_df_location = './dataset/cleaned_data.csv'


class PlottingConfig(CleaningConfig):

    pass


class NotebookConfig(PlottingConfig):

    notebook_folder = './'
    notebook_filename = 'uk_17.ipynb'
    to_import = ['import pandas as pd',
                 'import numpy as np',
                 'get_ipython().magic("matplotlib inline")',
                 'import matplotlib',
                 'import matplotlib.pyplot as plt',
                 'from config import CleaningConfig, PlottingConfig, NotebookConfig',
                 'from counting import get_count',
                 'from plotting import get_plot',
                 'from likertScalePlot import likert_scale']



"""Config file for the cleaning - plotting and notebook process"""


class CleaningConfig:

    # Unprocessed dataset
    raw_data = './dataset/raw_results-survey245554.csv'
    # load the different answers to questions to classify questions based on that
    question_file = '../../../survey_creation/uk_17/uk_17.csv'
    answer_folder = '../../../survey_creation/uk_17/listAnswers'
    # Location for the json file of all questions
    json_to_plot_location = './to_plot.json'
    cleaned_df_location = './dataset/cleaned_data.csv'


class PlottingConfig(CleaningConfig):
    count_na = True
    plot_na = False
    normalise = False


class NotebookConfig(PlottingConfig):

    notebook_folder = './'
    notebook_filename = 'uk_17.ipynb'
    to_import = ['import pandas as pd',
                 'import numpy as np',
                 'import matplotlib',
                 'import matplotlib.pyplot as plt',
                 'from config import CleaningConfig, PlottingConfig, NotebookConfig',
                 'from counting import get_count',
                 'from plotting import get_plot',
                 'from IPython.display import display',
                 'from likertScalePlot import likert_scale']
    processing_options = {'metadata': {'path': './',
                                       'hide_input': True}}

Add options in the plot
Add options in the plot

  
  
  """Config file for the cleaning - plotting and notebook process"""
  
  
  class CleaningConfig:
  
      # Unprocessed dataset
      raw_data = './dataset/raw_results-survey245554.csv'
      # load the different answers to questions to classify questions based on that
      question_file = '../../../survey_creation/uk_17/uk_17.csv'
      answer_folder = '../../../survey_creation/uk_17/listAnswers'
      # Location for the json file of all questions
      json_to_plot_location = './to_plot.json'
      cleaned_df_location = './dataset/cleaned_data.csv'
  
  
  class PlottingConfig(CleaningConfig):
- 
-     pass
+     count_na = True
+     plot_na = False
+     normalise = False
  
  
  class NotebookConfig(PlottingConfig):
  
      notebook_folder = './'
      notebook_filename = 'uk_17.ipynb'
      to_import = ['import pandas as pd',
                   'import numpy as np',
-                  'get_ipython().magic("matplotlib inline")',
                   'import matplotlib',
                   'import matplotlib.pyplot as plt',
                   'from config import CleaningConfig, PlottingConfig, NotebookConfig',
                   'from counting import get_count',
                   'from plotting import get_plot',
+                  'from IPython.display import display',
                   'from likertScalePlot import likert_scale']
+     processing_options = {'metadata': {'path': './',
+                                        'hide_input': True}}
  
Add options in the plot
## Code Before:


"""Config file for the cleaning - plotting and notebook process"""


class CleaningConfig:

    # Unprocessed dataset
    raw_data = './dataset/raw_results-survey245554.csv'
    # load the different answers to questions to classify questions based on that
    question_file = '../../../survey_creation/uk_17/uk_17.csv'
    answer_folder = '../../../survey_creation/uk_17/listAnswers'
    # Location for the json file of all questions
    json_to_plot_location = './to_plot.json'
    cleaned_df_location = './dataset/cleaned_data.csv'


class PlottingConfig(CleaningConfig):

    pass


class NotebookConfig(PlottingConfig):

    notebook_folder = './'
    notebook_filename = 'uk_17.ipynb'
    to_import = ['import pandas as pd',
                 'import numpy as np',
                 'get_ipython().magic("matplotlib inline")',
                 'import matplotlib',
                 'import matplotlib.pyplot as plt',
                 'from config import CleaningConfig, PlottingConfig, NotebookConfig',
                 'from counting import get_count',
                 'from plotting import get_plot',
                 'from likertScalePlot import likert_scale']

## Instruction:
Add options in the plot
## Code After:


"""Config file for the cleaning - plotting and notebook process"""


class CleaningConfig:

    # Unprocessed dataset
    raw_data = './dataset/raw_results-survey245554.csv'
    # load the different answers to questions to classify questions based on that
    question_file = '../../../survey_creation/uk_17/uk_17.csv'
    answer_folder = '../../../survey_creation/uk_17/listAnswers'
    # Location for the json file of all questions
    json_to_plot_location = './to_plot.json'
    cleaned_df_location = './dataset/cleaned_data.csv'


class PlottingConfig(CleaningConfig):
    count_na = True
    plot_na = False
    normalise = False


class NotebookConfig(PlottingConfig):

    notebook_folder = './'
    notebook_filename = 'uk_17.ipynb'
    to_import = ['import pandas as pd',
                 'import numpy as np',
                 'import matplotlib',
                 'import matplotlib.pyplot as plt',
                 'from config import CleaningConfig, PlottingConfig, NotebookConfig',
                 'from counting import get_count',
                 'from plotting import get_plot',
                 'from IPython.display import display',
                 'from likertScalePlot import likert_scale']
    processing_options = {'metadata': {'path': './',
                                       'hide_input': True}}
