Explaining the different methods for percentile calculation in NumPy
I was trying to create some box plots of data I have. I first was plotting them using Excel, but wanted to move on to Python to be able to personalize them. However, I was surpiresed to see the difference in the positions of the quartiles Q1 and Q3 given by the box plots in these two software packages.
Explaining the different methods for percentile calculation in NumPy
I was trying to create some box plots of data I have. I first was plotting them using Excel, but wanted to move on to Python to be able to personalize them. However, I was surpiresed to see the difference in the positions of the quartiles Q1 and Q3 given by the box plots in these two software packages.
Explaining the different methods for percentile calculation in NumPy
I was trying to create some box plots of data I have. I first was plotting them using Excel, but wanted to move on to Python to be able to personalize them. However, I was surpiresed to see the difference in the positions of the quartiles Q1 and Q3 given by the box plots in these two software packages.
Explaining the different methods for percentile calculation in NumPy
I was trying to create some box plots of data I have. I first was plotting them using Excel, but wanted to move on to Python to be able to personalize them. However, I was surpiresed to see the difference in the positions of the quartiles Q1 and Q3 given by the box plots in these two software packages.
Explaining the different methods for percentile calculation in NumPy
I was trying to create some box plots of data I have. I first was plotting them using Excel, but wanted to move on to Python to be able to personalize them. However, I was surpiresed to see the difference in the positions of the quartiles Q1 and Q3 given by the box plots in these two software packages.