def image(image_name):

    # Pulls in the analyzer and creates the DataFrame
    data = instagram_analyzer(image_name, 0)

    # formats the DataFrame to display plots
    instagram_graph(data)

    # renders matplotlib image to Flask view
    canvas = FigureCanvas(plt.gcf())
    output = StringIO()
    canvas.print_png(output)

    response = make_response(output.getvalue())
    response.mimetype = 'image/png'

    return response
def image(image_name):

    # create the DataFrame
    instagram_analyzed = instagram_analyzer(image_name)

    # format the DataFrame to display plots
    instagram_graph(instagram_analyzed)

    # render matplotlib image to Flask view
    canvas = FigureCanvas(plt.gcf())
    output = StringIO()
    canvas.print_png(output)

    # create response
    response = make_response(output.getvalue())
    response.mimetype = 'image/png'

    return response
def image(image_name):

    # create the DataFrame
    instagram_analyzed = instagram_analyzer(image_name)

    # format the DataFrame to display plots
    instagram_graph(instagram_analyzed)

    # render matplotlib image to Flask view
    canvas = FigureCanvas(plt.gcf())
    output = StringIO()
    canvas.print_png(output)

    # create response
    response = make_response(output.getvalue())
    response.mimetype = 'image/png'

    return response
Example #4
0
def image(image_name):
    # pulls in the scraper and creates the DataFrame
    instagram_analyzed = instagram_analyzer(image_name)

    # formats the DataFrame to display plots
    instagram_graph(instagram_analyzed)

    # rendering matplotlib image to Flask view
    canvas = FigureCanvas(plt.gcf())
    output = StringIO()
    canvas.print_png(output)
    # make_response converts the return value from a view
    # function to a real response object that is an instance
    # of response_class.
    response = make_response(output.getvalue())

    response.mimetype = "image/png"

    return response
Example #5
0
def image(image_name):
    # pulls in the scraper and creates the DataFrame
    instagram_analyzed = instagram_analyzer(image_name)

    # formats the DataFrame to display plots
    instagram_graph(instagram_analyzed)

    # rendering matplotlib image to Flask view
    canvas = FigureCanvas(plt.gcf())
    output = StringIO()
    canvas.print_png(output)
    # make_response converts the return value from a view
    # function to a real response object that is an instance
    # of response_class.
    response = make_response(output.getvalue())

    response.mimetype = 'image/png'

    return response