using Plots
# Create a sample plot
x = 1:10
y = 1:10
z = [i + j for i in x, j in y]
heatmap(x, y, z, clim=(0, 20), cmap=:cool)Option 1: Manually adjust the color limits
One way to solve the issue of cmap not matching clim in Julia plots is to manually adjust the color limits. By setting the clim parameter to the desired range, we can ensure that the colormap matches the color limits.
heatmap(x, y, z, clim=(0, 20), cmap=:cool)In the above code snippet, we set the clim parameter to (0, 20) to match the range of values in the data. This ensures that the colormap used in the plot corresponds to the desired color limits.
Option 2: Use the auto_clim parameter
Another way to solve the issue is to use the auto_clim parameter in the heatmap function. By setting auto_clim to true, Julia will automatically adjust the color limits based on the range of values in the data.
heatmap(x, y, z, cmap=:cool, auto_clim=true)In the above code snippet, we set auto_clim to true to enable automatic adjustment of the color limits. This ensures that the colormap used in the plot matches the range of values in the data.
Option 3: Normalize the data
A third option is to normalize the data before plotting. By scaling the data to a specific range, we can ensure that the colormap matches the color limits.
normalized_z = (z .- minimum(z)) ./ (maximum(z) - minimum(z))
heatmap(x, y, normalized_z, cmap=:cool)In the above code snippet, we normalize the data by subtracting the minimum value and dividing by the range of values. This scales the data to the range [0, 1], which ensures that the colormap used in the plot matches the color limits.
Among the three options, the best choice depends on the specific requirements of the plot. If you want full control over the color limits, manually adjusting the clim parameter (Option 1) is the most suitable. If you prefer automatic adjustment based on the data range, using the auto_clim parameter (Option 2) is a good choice. Finally, if you want to normalize the data to a specific range, Option 3 is the way to go.
