biur 0.0.1

An extract of the BIU R functionality, without any dependency on biu

biuR

An extract of the BIU R functionality, without any dependency on biu.

Install

pip install biuR

How to use

import biur.wrapper
import matplotlib.pylab as plt
import pandas as pd

R = biur.wrapper.R()

Push some data

R.push(n=5000, mean=10, var=6, question="How many apples do you eat per day?")

Run some commands

R("""
    dist <- rnorm(n, mean, var)
    print(mean(dist))
""", get=False)

[1] 9.883113

Get some data

dist = R.get("dist")
dist_alt = R("dist", get=True) # the get parameter is True by default
_ = plt.hist(dist, bins=50)

Do it all at the same time

dist = R("""rnorm(n, mean, var)""",
         push=dict(n=5000, mean=10, var=6, question="How many apples do you eat per day?"))
_ = plt.hist(dist, bins=50)

Dataframes also work as expected

df  = pd.DataFrame(dist.reshape(500,10), columns=["C%d" % (i+1) for i in range(10)])
df2 = R("""df*2""", push=dict(df=df))
df2.describe()

<style scoped> .dataframe tbody tr th:only-of-type { vertical-align: middle; }

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</style>

	C1	C2	C3	C4	C5	C6	C7	C8	C9	C10
count	500.000000	500.000000	500.000000	500.000000	500.000000	500.000000	500.000000	500.000000	500.000000	500.000000
mean	19.664014	19.844730	21.397676	20.316715	19.915327	20.479617	20.606811	20.671680	19.978792	20.363389
std	12.082482	11.829318	11.756079	12.228085	11.878440	12.626452	11.560421	12.360558	12.425381	12.545196
min	-28.185781	-11.851668	-14.899577	-15.940758	-23.651277	-17.811376	-13.721199	-17.615716	-18.421257	-22.172515
25%	11.909300	12.042162	13.257103	12.162031	12.214617	11.778717	12.920449	12.178726	11.741882	12.254866
50%	19.316743	19.564965	20.988669	20.498992	19.765990	20.166144	20.278277	20.020587	20.054040	20.275403
75%	27.771991	28.085157	29.174137	28.447980	28.061103	28.312460	28.384447	28.869581	28.670938	29.319559
max	53.658666	59.740534	58.531887	57.402270	55.351012	52.867132	56.286094	55.596513	50.953409	58.989365

Some additional stuff

Dates

from datetime import datetime
R("""print(today)""", push=dict(today=datetime.today()), get=False)

[1] "2021-11-15 14:59:14 EET"

Dictionaries

Note that individual numbers do not exist in R (everything is a vector) so it is impossible to transform this back perfectly.

R.push(mydict={"A":10, "B":20, "C":40})
R("""
    mydict$D <- 60
    mydict""")

{'A': [10], 'B': [20], 'C': [40], 'D': [60.0]}