The quantile functions gives us the quantile of a given pandas series s,
E.g.
s.quantile(0.9) is 4.2
Is there the inverse function (i.e. cumulative distribution) which finds the value x such that
s.quantile(x)=4
Thanks
I had the same question as you did! I found an easy way of getting the inverse of quantile using scipy.
#libs required
from scipy import stats
import pandas as pd
import numpy as np
#generate ramdom data with same seed (to be reproducible)
np.random.seed(seed=1)
df = pd.DataFrame(np.random.uniform(0,1,(10)), columns=['a'])
#quantile function
x = df.quantile(0.5)[0]
#inverse of quantile
stats.percentileofscore(df['a'],x)
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