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nidhichaudharygsmtpd007

A library to convert the google sheets into pandas df and plot the graphs accordingly

  • 1.0.6
  • PyPI
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Library: nidhichaudharygsmtpd007

This library helps in taking the google sheets and can even convert the sheets into the pandas dataframe and then it can use this dataframe to plot it into 3 different forms of graphs:

  1. Bar plot
  2. Line Plot with markers and dotted line
  3. Scatter Plot with the mean line and the color.

** Details of each functions are described below

  1. To call the google spreadsheet:

    • Use createcredentials() for this purpose:

        createcredentials('your api json filename', 'spreadsheet to be called')
      

      Put the full path for the api json filename

    • It returns the list of the dictionary from the called spreadsheet.

  2. To convert the list of dictionary returned from the createcredentials() to dataframe:

    • Use createDF() for this purpose:

        createDF(d) 
            - d: the returned list of dictionary
      
    • Returns the dataframe that can be used for plotting.

  3. To plot the graphs of your choice:

    • Currently the library provides you to plot 3 graphs: Bar Plot, Line Plot, Scatter Plot.

    • For Barlplot you need to call:

        plotBar(dataframe, 'column name for the x axis', 'column name for the y axis')
      
      • The function automatically plots the graph for you.
    • For Lineplot you need to call:

        plotLine(dataframe, 'column name for the x axis', 'column name for the y axis')
      
      • The function plots the graph which is represented by the dotted line and the points are marked by the '>' symbol.
    • For Scatterplot you need to call:

        plotScatter(dataframe, 'column name for the x axis', 'column name for the y axis', colors)
        colors: Array for designing the colorbar.
      
      • The function returns the Scatterplot which is represented by the green color and along with it there shall be a color bar which describes the variation of color throughout the plotting of graph. Along with that mean is also plotted with that.

    Note: All figures can be easily saved.

    Pre-Requisites:

    1. Google API for spreadsheets

    For creating this library I have used gspread for calling the google spreadsheet api.

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