min/max for 2 arguments

[aminnj]

import numpy as np
import pandas as pd
import pdroot
np.random.seed(42)
df = pd.DataFrame(np.random.normal(0,1,(100,4)), columns=list("abcd"))
df.draw_to_array("min(a,b)")

gives

~/sandbox/dev/pdroot/pdroot/draw.py in tree_draw_to_array(df, varexp, sel)
     49     dims = []
     50     for expr in varexp_exprs:
---> 51         vals = eval(expr)
     52 
     53         if sel:

~/sandbox/dev/pdroot/pdroot/draw.py in <module>

TypeError: min() got multiple values for argument 'axis'

though regular pandas df.eval("min(a,b)") says min isn't a supported function, so there's technically no loss here. However, df.draw_to_array("np.minimum(a,b)") actually works (while pandas eval doesn't recognize np), so maybe if there are two arguments to min, we use np.minimum instead of ak.min(..., axis=1) [1]?

[1]

from pdroot.parse import to_ak_expr
to_ak_expr("min(a,b)")
# ak.min(a, b, axis=-1)

[aminnj]

min/max added in by d1352e0