forcats_fct_multi

In [1]:

%run nb_helpers.py
from datar.all import *

nb_header(
    fct_c,
    fct_cross,
    book="forcat_fct_multi",
)

%run nb_helpers.py from datar.all import * nb_header( fct_c, fct_cross, book="forcat_fct_multi", )

Try this notebook on binder.

★ fct_c

¶

Concatenate factors, combining levels¶

This is a useful ways of patching together factors from multiple sources
that really should have the same levels but don't.

Args:¶

  *fs: factors to concatenate

Returns:¶

  The concatenated factor

★ fct_cross

¶

Combine levels from two or more factors to create a new factor¶

Computes a factor whose levels are all the combinations of
the levels of the input factors.

Args:¶

  *fs: factors to cross
  sep: A string to separate levels
  keep_empty: If True, keep combinations with no observations as levels

Returns:¶

  The new factor

fct_c¶

In [2]:

fa = factor("a")
fb = factor("b")
fab = factor(c("a", "b"))

# c(fa, fb, fab)
# convert factor to integer for `c`?

fa = factor("a") fb = factor("b") fab = factor(c("a", "b")) # c(fa, fb, fab) # convert factor to integer for `c`?

In [3]:

fct_c(fa, fb, fab)

fct_c(fa, fb, fab)

Out[3]:

['a', 'b', 'a', 'b']
Categories (2, object): ['a', 'b']

In [4]:

fs = [fa, fb, fab]
fct_c(*fs)

fs = [fa, fb, fab] fct_c(*fs)

Out[4]:

['a', 'b', 'a', 'b']
Categories (2, object): ['a', 'b']

fct_cross¶

In [5]:

fruit = factor(c("apple", "kiwi", "apple", "apple"))
colour = factor(c("green", "green", "red", "green"))
eaten = c("yes", "no", "yes", "no")
fct_cross(fruit, colour)

fruit = factor(c("apple", "kiwi", "apple", "apple")) colour = factor(c("green", "green", "red", "green")) eaten = c("yes", "no", "yes", "no") fct_cross(fruit, colour)

Out[5]:

['apple:green', 'kiwi:green', 'apple:red', 'apple:green']
Categories (3, object): ['apple:green', 'apple:red', 'kiwi:green']

In [6]:

fct_cross(fruit, colour, eaten)

fct_cross(fruit, colour, eaten)

Out[6]:

['apple:green:yes', 'kiwi:green:no', 'apple:red:yes', 'apple:green:no']
Categories (4, object): ['apple:green:no', 'apple:green:yes', 'apple:red:yes', 'kiwi:green:no']

In [7]:

fct_cross(fruit, colour, keep_empty = TRUE)

fct_cross(fruit, colour, keep_empty = TRUE)

Out[7]:

['apple:green', 'kiwi:green', 'apple:red', 'apple:green']
Categories (4, object): ['apple:green', 'apple:red', 'kiwi:green', 'kiwi:red']