Is it possible to pass functions with arguments to another function in Python?

Say for something like:

```
def Perform ( function ) :
function
```

but the functions to be passed will be like:

```
Action1()
Action2(p)
Action3(p,r)
```

Do you mean this?

```
def perform( fun, *args ):
fun( *args )
def action1( args ):
something
def action2( args ):
something
perform( action1 )
perform( action2, p )
perform( action3, p, r )
```

This is what lambda is for:

```
def Perform(f):
f()
Perform(lambda: Action1())
Perform(lambda: Action2(p))
Perform(lambda: Action3(p, r))
```

You can use the partial function from functools like so.

```
from functools import partial
def perform(f):
f()
perform(Action1)
perform(partial(Action2, p))
perform(partial(Action3, p, r))
```

Also works with keywords

```
perform(partial(Action4, param1=p))
```

Use functools.partial, not lambdas! And ofc Perform is a useless function, you can pass around functions directly.

```
for func in [Action1, partial(Action2, p), partial(Action3, p, r)]:
func()
```

` `

(months later) a tiny real example where lambda is useful, partial not:

say you want various 1-dimensional cross-sections through a 2-dimensional function,

like slices through a row of hills.

`quadf( x, f )`

takes a 1-d `f`

and calls it for various `x`

.

To call it for vertical cuts at y = -1 0 1 and horizontal cuts at x = -1 0 1,

```
fx1 = quadf( x, lambda x: f( x, 1 ))
fx0 = quadf( x, lambda x: f( x, 0 ))
fx_1 = quadf( x, lambda x: f( x, -1 ))
fxy = parabola( y, fx_1, fx0, fx1 )
f_1y = quadf( y, lambda y: f( -1, y ))
f0y = quadf( y, lambda y: f( 0, y ))
f1y = quadf( y, lambda y: f( 1, y ))
fyx = parabola( x, f_1y, f0y, f1y )
```

As far as I know, `partial`

can't do this --

```
quadf( y, partial( f, x=1 ))
TypeError: f() got multiple values for keyword argument 'x'
```

(How to add tags numpy, partial, lambda to this ?)

Here is a way to do it with a closure:

```
def generate_add_mult_func(func):
def function_generator(x):
return reduce(func,range(1,x))
return function_generator
def add(x,y):
return x+y
def mult(x,y):
return x*y
adding=generate_add_mult_func(add)
multiplying=generate_add_mult_func(mult)
print adding(10)
print multiplying(10)
```

Tags: function, laravelpython