hist_profile: 1D Histogram Profile Calculation in Python

The function "hist_profile" takes in four arguments: 1. "r": an array containing the values of the independent variable. 2. "rbin_e": an array containing the bin edges for the histogram. 3. "data": an array containing the values of the dependent variable. 4. "mask" (optional): an array containing a mask to apply to the data. If the "mask" argument is provided, the function applies the mask to the "r" and "data" arrays. The function then calculates the histogram of the "r" array using the bin edges provided in "rbin_e" and weights the histogram by the "data" array. The weighted histogram is stored in the "amp" variable. Next, the function calculates the histogram of the "r" array using the bin edges provided in "rbin_e" and stores it in the "wei" variable. If any bin in "wei" has a value of zero, the function replaces that value with 1 to avoid division by zero errors. Finally, the function calculates the profile by dividing the "amp" array by the "wei" array element-wise and returns the resulting profile array.