Python Social Media Analytics

Forks versus open issues

In the first comparison, we pick forks and open issues and we show them on a chart.

x = df['forks'] 
y = df['open_issues'] 

We create a plot where forks will be shown on x axis and open issues on y axis. The colors indicate technologies:

• red: Deep learning
• blue: Open source

We will follow the same color code in the next examples:

fig, ax = plt.subplots() 
colors = dict(zip(set(df['technology']), ['red', 'blue']))    ax.scatter(x=x, y=y, c=df['technology'].apply(lambda x: colors[x]), s = 200, alpha = 0.5) 

There are two additional parameters that we use to obtain prettier results:

• alpha: Transparency level of dots
• s: Size of dots

We add plot descriptions such as title, x axis label and y axis label:

 ax.set(title='Deep ...