upZscore = (data_heat - data_heat.mean(axis=0)) / data_heat.std(axis=0)

This code calculates the z-score of the data_heat variable. The z-score is a way to standardize the values of a variable by subtracting the mean and dividing by the standard deviation. This makes it easier to compare different variables that have different scales or units.

The code first calculates the mean of the data_heat variable along the 0 axis (which is usually the rows). It then subtracts this mean from each value in the data_heat variable. Next, it calculates the standard deviation of the data_heat variable along the 0 axis, and divides each value in the data_heat variable by this standard deviation.

The resulting upZscore variable will have a mean of 0 and a standard deviation of 1, which makes it easier to compare the values to other variables or to each other.