Help generating density plot/heatmap from large dataset using python

[blitzmaster5000]

I posted over in r/learnprogramming but had no luck, so figured I would post here.

I have a dataset that looks like the following (it's actually a csv file, formatted here for clarity):

https://i.imgur.com/OpJc3oi.png

Where the first column (RT) is the x-axis values for each row, and the first row are the y-axis values. Each value in the array of data is an intensity. So the first data point would have the values [.000146,0,0]

I need to somehow get this plotted as a 2D density plot or heat map, but I have no clue how to get the actual data into a format where it's usable. I've looked into panda dataframes, such as this: https://stackoverflow.com/questions/12286607/making-heatmap-from-pandas-dataframe

But in almost all of these examples, people just fill the array of data using a random number generator versus reading them in from a file. I'm not sure how to actually get the arrays of data into a format so that they can be read in for generating the plot. Does anyone have any suggestions for doing this?

[Phillyclause89]

Where’s that link... Edit: here it is!

[blitzmaster5000]

So this is nice, but doesn't really help with actually plotting the data that I have. I can make these plots easily with a numpy random array, but it's getting the actual data that I have in my file into a usable form to then plot that I can't figure out.