egm 1.1.3

A python package for plotting Evidence Gap Maps using Plotly

egm

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Evidence Gap Maps(egm) are useful in research for plotting research gaps for a research area. This library (extension of the Bubbly package) provides interactive and animated charts using Plotly that can be useful to view reasearch gaps and tracking time based progress of relevant research. The animated bubble charts can accommodate up to six variables viz. X-axis, Y-axis, time, bubbles (the research artifacts of title , abstract and doi) their size (similarity to research question) and their color in a compact and captivating way. Evidence Gap Maps are easy to use with plenty of customization, especially suited for use in Jupyter notebooks and is designed to work with plotly's offline mode such as in Kaggle kernels.

In general egm package can be useful in making a plot where two catagorical variable are plotted aganst each other and creates bins.

Dependencies

• Python 3.4+
• numpy
• pandas
• plotly

Installation

pip install egm

Usage in a Jupyter Notebook

Modes

1 There are two modes supported. Time can be included in both modes for a dynamic year wise plot. The random mode is more display friendly and the plot in a bin is scattered evenly.

Mode Random

from future import division

from plotly.offline import init_notebook_mode, iplot

init_notebook_mode()

figure = evidencegapmap(dataset=pd, x_column='x', y_column='y', bubble_column='title_column',bubble_text='bubbletext_column', bubble_link='bubblelink_column', size_column='size_column', color_column='color_column',xbin_list=, ybin_list = , xbin_size=100, ybin_size = 100, x_title="X Axis Title", y_title="Y Axis Title", title='Evidence Gap Map for XYZ',scale_bubble=4, marker_opacity=0.8,height=900, width=1200)

iplot(figure)

2 The NLP mode, x and y coordinates are provided and are transformed and plotted in the bin. The mode is useful for displaying the similarity and disimilarity of points

NLP Mode

from future import division

from plotly.offline import init_notebook_mode, iplot

init_notebook_mode()

figure = evidencegapmap(dataset=pd, x_column='x', y_column='y',xy_column='xy_column', bubble_column='title_column',bubble_text='bubbletext_column', bubble_link='bubblelink_column', time_column='publish_year', size_column='size_column', color_column='color_column',xbin_list=, ybin_list = , xbin_size=100, ybin_size = 100, x_title="X Axis Title", y_title="Y Axis Title", title='Evidence Gap Map for XYZ',scale_bubble=4, marker_opacity=0.8,height=900, width=1200)

iplot(figure)

View a working example here