在对熊猫数据框列进行操作时如何使用hy

Question

似乎没有关于如何在单列熊猫操作上使用hy的文档，例如以下内容。希望得到帮助：

# simple instantiation to scalar
df['a'] = '2'
# the above can be done like so: (-> df (.assign :a "2")) but would appreciate any better ways

# cast a column to int
df['a'] = df['a'].astype(int)
# creating  derived columns
df['c'] = df['a'] + df['b']
#subsetting by columns
dd = df[['a','b']]
#subsetting by criteria
dd = df[(df['a'] > 1) & (df['b'] < 2)]

Answer 1

pandas实际上并没有改变Python本身的语法或语义。它只使用运算符重载。因此，尽管helper macros可以使熊猫更加方便，但您可以使用相同运算符的Hy等效项。

; simple instantiation to scalar
(setv (get df "a") "2")
; cast a column to int
(setv (get df "a") (.astype (get df "a") int))
; creating  derived columns
(setv (get df "c") (+ (get df "a") (get df "c")))
;subsetting by columns
(setv dd (get df ["a" "b"]))
;subsetting by criteria
(setv dd (get df (& (> (get df "a") 1) (< (get df "b") 2))))