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# DDC 36 Rank-transform a database
from scipy.stats import norm
from scipy.stats import rankdata
import pandas as pd
from tabulate import tabulate
#---mean and std---
mean = 1.0
std = 2.0
#---generate 10 random numberd---
data = norm.rvs (loc=mean, scale = std, size = 10)
#---rank the data---
ranks = rankdata(data)
#---final prinout--
df = pd.DataFrame ({"Data": data, "Rank": ranks})
#---print table---
print (tabulate (df, headers = "keys", tablefmt= "grid", showindex = False))
Thank you
# DDC 36 Rank-transform a database
from scipy.stats import norm
from scipy.stats import rankdata
import pandas as pd
from tabulate import tabulate
#---mean and std---
mean = 1.0
std = 2.0
#---generate 10 random numberd---
data = norm.rvs (loc=mean, scale = std, size = 10)
#---rank the data---
ranks = rankdata(data)
#---final prinout--
df = pd.DataFrame ({"Data": data, "Rank": ranks})
#---print table---
print (tabulate (df, headers = "keys", tablefmt= "grid", showindex = False))