quartile

Linear interpolation in numpy quantile() Question: Consider the following code: >>> import numpy as np >>> l = [21,22,24,24,26,97] >>> np.quantile(l, 0.25) 22.5 The documentation says: linear: i + (j – i) * fraction, where fraction is the fractional part of the index surrounded by i and j. Could anyone please explain what are i, …

How can I efficiently get [many] quartiles? Question: I need to encode numerical values by ranges: low: 0, medium: 1, high: 2 , very high: 3. I’m doing it for quartiles. I have the following code: import pandas as pd import numpy as np def fun(df): table = df.copy() # pandas dataframe N = int(table.shape[0]) …