When working with scatter plots in Julia, it is common to encounter the need to plot a vector of static vectors. In this article, we will explore three different ways to solve this problem and determine which option is the best.
Option 1: Using a for loop
One way to solve this problem is by using a for loop to iterate over the vector of static vectors and plot each individual vector. Here is an example code snippet:
using Plots
function scatter_plot_vectors(vectors)
for vector in vectors
scatter(vector[1], vector[2])
end
end
vectors = [[1, 2, 3], [4, 5, 6], [7, 8, 9]]
scatter_plot_vectors(vectors)
This code snippet defines a function scatter_plot_vectors
that takes in a vector of static vectors and plots each individual vector using the scatter
function from the Plots package. The function is then called with a sample input vector vectors
.
Option 2: Using the splat operator
Another way to solve this problem is by using the splat operator to unpack the vector of static vectors and pass each individual vector as separate arguments to the scatter
function. Here is an example code snippet:
using Plots
function scatter_plot_vectors(vectors)
scatter(vectors...)
end
vectors = [[1, 2, 3], [4, 5, 6], [7, 8, 9]]
scatter_plot_vectors(vectors)
This code snippet defines a function scatter_plot_vectors
that takes in a vector of static vectors and uses the splat operator ...
to unpack the vector and pass each individual vector as separate arguments to the scatter
function. The function is then called with a sample input vector vectors
.
Option 3: Using the plot function
A third way to solve this problem is by using the plot
function instead of the scatter
function. The plot
function can handle multiple vectors as input and automatically create a scatter plot. Here is an example code snippet:
using Plots
function scatter_plot_vectors(vectors)
plot(vectors)
end
vectors = [[1, 2, 3], [4, 5, 6], [7, 8, 9]]
scatter_plot_vectors(vectors)
This code snippet defines a function scatter_plot_vectors
that takes in a vector of static vectors and uses the plot
function to create a scatter plot. The function is then called with a sample input vector vectors
.
After exploring these three options, it is clear that the third option, using the plot
function, is the best solution. It is more concise and eliminates the need for a for loop or the splat operator. Additionally, the plot
function automatically handles multiple vectors as input, making it more versatile.