Replace null values in list Python

Where

q)0^1 2 3 0N
1 2 3 0
q)100^1 2 -5 0N 10 0N
1 2 -5 100 10 100
q)1.0^1.2 -4.5 0n 0n 15
1.2 -4.5 1 1 15
q)`nobody^`tom`dick``harry
`tom`dick`nobody`harry
q)1 2 3 4 5^6 0N 8 9 0N
6 2 8 9 5
5 and
q)0^1 2 3 0N
1 2 3 0
q)100^1 2 -5 0N 10 0N
1 2 -5 100 10 100
q)1.0^1.2 -4.5 0n 0n 15
1.2 -4.5 1 1 15
q)`nobody^`tom`dick``harry
`tom`dick`nobody`harry
q)1 2 3 4 5^6 0N 8 9 0N
6 2 8 9 5
6 are conforming lists or dictionaries returns
q)0^1 2 3 0N
1 2 3 0
q)100^1 2 -5 0N 10 0N
1 2 -5 100 10 100
q)1.0^1.2 -4.5 0n 0n 15
1.2 -4.5 1 1 15
q)`nobody^`tom`dick``harry
`tom`dick`nobody`harry
q)1 2 3 4 5^6 0N 8 9 0N
6 2 8 9 5
6 with any nulls replaced by the corresponding item of
q)0^1 2 3 0N
1 2 3 0
q)100^1 2 -5 0N 10 0N
1 2 -5 100 10 100
q)1.0^1.2 -4.5 0n 0n 15
1.2 -4.5 1 1 15
q)`nobody^`tom`dick``harry
`tom`dick`nobody`harry
q)1 2 3 4 5^6 0N 8 9 0N
6 2 8 9 5
5.

q)0^1 2 3 0N
1 2 3 0
q)100^1 2 -5 0N 10 0N
1 2 -5 100 10 100
q)1.0^1.2 -4.5 0n 0n 15
1.2 -4.5 1 1 15
q)`nobody^`tom`dick``harry
`tom`dick`nobody`harry
q)1 2 3 4 5^6 0N 8 9 0N
6 2 8 9 5

Integer

q)0^1 2 3 0N
1 2 3 0
q)100^1 2 -5 0N 10 0N
1 2 -5 100 10 100
q)1.0^1.2 -4.5 0n 0n 15
1.2 -4.5 1 1 15
q)`nobody^`tom`dick``harry
`tom`dick`nobody`harry
q)1 2 3 4 5^6 0N 8 9 0N
6 2 8 9 5
5 items are promoted when
q)0^1 2 3 0N
1 2 3 0
q)100^1 2 -5 0N 10 0N
1 2 -5 100 10 100
q)1.0^1.2 -4.5 0n 0n 15
1.2 -4.5 1 1 15
q)`nobody^`tom`dick``harry
`tom`dick`nobody`harry
q)1 2 3 4 5^6 0N 8 9 0N
6 2 8 9 5
6 is float or real.

q)a:11.0 2.1 3.1 0n 4.5 0n
q)type a
9h
q)10^a
11 2.1 3.1 10 4.5 10
q)type 10^a
9h

When

q)0^1 2 3 0N
1 2 3 0
q)100^1 2 -5 0N 10 0N
1 2 -5 100 10 100
q)1.0^1.2 -4.5 0n 0n 15
1.2 -4.5 1 1 15
q)`nobody^`tom`dick``harry
`tom`dick`nobody`harry
q)1 2 3 4 5^6 0N 8 9 0N
6 2 8 9 5
5 and
q)0^1 2 3 0N
1 2 3 0
q)100^1 2 -5 0N 10 0N
1 2 -5 100 10 100
q)1.0^1.2 -4.5 0n 0n 15
1.2 -4.5 1 1 15
q)`nobody^`tom`dick``harry
`tom`dick`nobody`harry
q)1 2 3 4 5^6 0N 8 9 0N
6 2 8 9 5
6 are dictionaries, both null and missing values in
q)0^1 2 3 0N
1 2 3 0
q)100^1 2 -5 0N 10 0N
1 2 -5 100 10 100
q)1.0^1.2 -4.5 0n 0n 15
1.2 -4.5 1 1 15
q)`nobody^`tom`dick``harry
`tom`dick`nobody`harry
q)1 2 3 4 5^6 0N 8 9 0N
6 2 8 9 5
6 are filled with those from
q)0^1 2 3 0N
1 2 3 0
q)100^1 2 -5 0N 10 0N
1 2 -5 100 10 100
q)1.0^1.2 -4.5 0n 0n 15
1.2 -4.5 1 1 15
q)`nobody^`tom`dick``harry
`tom`dick`nobody`harry
q)1 2 3 4 5^6 0N 8 9 0N
6 2 8 9 5
5.

q)(`a`b`c!1 2 3)^`b`c!0N 30
a| 1
b| 2
c| 30

Fill is an atomic function.

Domain and range:

    b g x h i j e f c s p m d z n u v t
----------------------------------------
b | b . x h i j e f c . p m d z n u v t
g | . g . . . . . . . . . . . . . . . .
x | x . x h i j e f c . p m d z n u v t
h | h . h h i j e f c . p m d z n u v t
i | i . i i i j e f c . p m d z n u v t
j | j . j j j j e f c . p m d z n u v t
e | e . e e e e e f c . p m d z n u v t
f | f . f f f f f f c . p m d z n u v t
c | c . c c c c c c c . p m d z n u v t
s | . . . . . . . . . s . . . . . . . .
p | p . p p p p p p p . p p p p n u v t
m | m . m m m m m m m . p m d . . . . .
d | d . d d d d d d d . p d d z . . . .
z | z . z z z z z z z . p . z z n u v t
n | n . n n n n n n n . n . . n n n n n
u | u . u u u u u u u . u . . u n u v t
v | v . v v v v v v v . v . . v n v v t
t | t . t t t t t t t . t . . t n t t t

Range:

q)a:11.0 2.1 3.1 0n 4.5 0n
q)type a
9h
q)10^a
11 2.1 3.1 10 4.5 10
q)type 10^a
9h
5

q)0^1 2 3 0N
1 2 3 0
q)100^1 2 -5 0N 10 0N
1 2 -5 100 10 100
q)1.0^1.2 -4.5 0n 0n 15
1.2 -4.5 1 1 15
q)`nobody^`tom`dick``harry
`tom`dick`nobody`harry
q)1 2 3 4 5^6 0N 8 9 0N
6 2 8 9 5
2 Coalesce where
q)0^1 2 3 0N
1 2 3 0
q)100^1 2 -5 0N 10 0N
1 2 -5 100 10 100
q)1.0^1.2 -4.5 0n 0n 15
1.2 -4.5 1 1 15
q)`nobody^`tom`dick``harry
`tom`dick`nobody`harry
q)1 2 3 4 5^6 0N 8 9 0N
6 2 8 9 5
5 and
q)0^1 2 3 0N
1 2 3 0
q)100^1 2 -5 0N 10 0N
1 2 -5 100 10 100
q)1.0^1.2 -4.5 0n 0n 15
1.2 -4.5 1 1 15
q)`nobody^`tom`dick``harry
`tom`dick`nobody`harry
q)1 2 3 4 5^6 0N 8 9 0N
6 2 8 9 5
6 are keyed tables

q)0^1 2 3 0N 1 2 3 0 q)100^1 2 -5 0N 10 0N 1 2 -5 100 10 100 q)1.0^1.2 -4.5 0n 0n 15 1.2 -4.5 1 1 15 q)`nobody^`tom`dick``harry `tom`dick`nobody`harry q)1 2 3 4 5^6 0N 8 9 0N 6 2 8 9 53

Replace nulls with preceding non-nulls

fills x     fills[x]

Where

q)0^1 2 3 0N
1 2 3 0
q)100^1 2 -5 0N 10 0N
1 2 -5 100 10 100
q)1.0^1.2 -4.5 0n 0n 15
1.2 -4.5 1 1 15
q)`nobody^`tom`dick``harry
`tom`dick`nobody`harry
q)1 2 3 4 5^6 0N 8 9 0N
6 2 8 9 5
5 is a list, returns
q)0^1 2 3 0N
1 2 3 0
q)100^1 2 -5 0N 10 0N
1 2 -5 100 10 100
q)1.0^1.2 -4.5 0n 0n 15
1.2 -4.5 1 1 15
q)`nobody^`tom`dick``harry
`tom`dick`nobody`harry
q)1 2 3 4 5^6 0N 8 9 0N
6 2 8 9 5
5 with any null items replaced by their preceding non-null values, if any.

q)0^1 2 3 0N
1 2 3 0
q)100^1 2 -5 0N 10 0N
1 2 -5 100 10 100
q)1.0^1.2 -4.5 0n 0n 15
1.2 -4.5 1 1 15
q)`nobody^`tom`dick``harry
`tom`dick`nobody`harry
q)1 2 3 4 5^6 0N 8 9 0N
6 2 8 9 5
3 is a uniform function.

q)fills 0N 2 3 0N 0N 7 0N
0N 2 3 3 3 7 7

To back-fill, reverse the list and the result:

q)reverse fills reverse 0N 2 3 0N 0N 7 0N
2 2 3 7 7 7 0N

For a similar function on infinities, first replace them with nulls:

q)fills {(x where x=0W):0N;x} 0N 2 3 0W 0N 7 0W
0N 2 3 3 3 7 7

The keyword

q)0^1 2 3 0N
1 2 3 0
q)100^1 2 -5 0N 10 0N
1 2 -5 100 10 100
q)1.0^1.2 -4.5 0n 0n 15
1.2 -4.5 1 1 15
q)`nobody^`tom`dick``harry
`tom`dick`nobody`harry
q)1 2 3 4 5^6 0N 8 9 0N
6 2 8 9 5
3 is defined as
q)(`a`b`c!1 2 3)^`b`c!0N 30
a| 1
b| 2
c| 30
4, which fills forward, meaning that non-null items are filled over succeeding null items.

How do you replace null values in a list in Python?

Sometimes csv file has null values, which are later displayed as NaN in Data Frame. Just like pandas dropna() method manage and remove Null values from a data frame, fillna() manages and let the user replace NaN values with some value of their own.

Can you replace values in a list Python?

We can also use a while loop to replace values in the list. While loop does the same work as for loop. In the while loop first, we define a variable with value 0 and iterate over the list. If value matches to value that we want to replace then we replace it with the new value.

What to replace null values with?

Null Values can be replaced in SQL by using UPDATE, SET, and WHERE to search a column in a table for nulls and replace them. In the example above it replaces them with 0. Cleaning data is important for analytics because messy data can lead to incorrect analysis.

How do you remove nulls from a list in Python?

There are a several ways to remove null value from list in python. we will use filter(), join() and remove() functions to delete empty string from list.