[FIXED] Plotting a 3-dimensional graph by increasing the size of the points

Issue

Currently I have a plot that look like this.

1. How do I increase the size of each point by the count? In other words, if a certain point has 9 counts, how do I increase it so that it is bigger than another point with only 2 counts?

2. If you look closely, I think there are overlaps (one point has both grey and orange circles). How do I make it so there's a clear difference?

In case you have no idea what I mean by "Plotting a 3-dimensional graph by increasing the size of the points", this below is what I mean, where the z-axis is the count

Solution

Try this:

x_name = 'x_name'
y_name = 'y_name'
z_name = 'z_name'


scatter_data = pd.DataFrame(data[[x_name, y_name, z_name]].value_counts())

scatter_data.reset_index(inplace=True)


plt.scatter(
    scatter_data.loc[:, x_name], 
    scatter_data.loc[:, y_name],
    s=scatter_data.loc[:, 0],
    c=scatter_data.loc[:, z_name]
)

The thing is that the reason why your scatter plot looks like this is because every point which is at (1, 1) or (0,1) is overlapping.

With the plt.scatter argument (s=), you can specify the size of the points. If you print scatter_data, it is a "group by" clause with the count of each of the indexes.

It should look something like this, with column 0 being the count.

It should look something like the above.

Answered By - sirj