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Tom Nichols
pytreat-practicals-2020
Commits
48903cbb
Commit
48903cbb
authored
7 years ago
by
Paul McCarthy
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New prac on function args. In progress
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advanced_topics/function_inputs_and_outputs.ipynb
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advanced_topics/function_inputs_and_outputs.ipynb
advanced_topics/function_inputs_and_outputs.md
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advanced_topics/function_inputs_and_outputs.md
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advanced_topics/function_inputs_and_outputs.ipynb
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48903cbb
{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Function inputs and outputs\n",
"\n",
"\n",
"In Python, arguments to a function can be specified in two different ways - by\n",
"using _positional_ arguments, or by using _keyword_ arguments.\n",
"\n",
"\n",
"## Positional arguments\n",
"\n",
"\n",
"Let's say we have a function that looks like this"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"def myfunc(a, b, c):\n",
" print('First argument: ', a)\n",
" print('Second argument:', b)\n",
" print('Third argument: ', c)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"If we call this function like so:"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"myfunc(1, 2, 3)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"The values `1`, `2` and `3` get assigned to arguments `a`, `b`, and `c`\n",
"respectively, based on the position in which they are passed.\n",
"\n",
"\n",
"Python allows us to pass positional arguments into a function from a sequence,\n",
"using the star (`*`) operator. So we could store our arguments in a list or\n",
"tuple, and then pass the list straight in:"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"args = [3, 4, 5]\n",
"myfunc(*args)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"You can think of the star operator as 'unpacking' the contents of the\n",
"sequence.\n",
"\n",
"\n",
"## Keyword arguments\n",
"\n",
"\n",
"Using keyword arguments allows us to pass arguments to a function in any order\n",
"we like. We could just as easily call our `myfunc` function like so, and get\n",
"the same result that we did earlier when using positional arguments:"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"myfunc(c=3, b=2, a=1)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Python has another operator - the double-star (`**`), which will unpack\n",
"keyword arguments from `dict`. For example:"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"kwargs = {'a' : 4, 'b' : 5, 'c' : 6}\n",
"myfunc(**kwargs)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Combining positional and keyword arguments\n",
"\n",
"\n",
"In fact, we can use both of these techniques at once, like so:"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"args = (100, 200)\n",
"kwargs = {'c' : 300}\n",
"\n",
"myfunc(*args, **kwargs)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Default argument values\n",
"\n",
"\n",
"Function arguments can be given default values, like so:"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"myfunc(a=1, b=2, c=3):\n",
" print('First argument: ', a)\n",
" print('Second argument:', b)\n",
" print('Third argument: ', c)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Now we can call `myfunc`, only passing the arguments that we need to. The\n",
"arguments which are unspecified in the function call will be assigned their\n",
"default value:"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"myfunc()\n",
"myfunc(10)\n",
"myfunc(10, b=30)\n",
"myfunc(c=300)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"> Pitfall: mutable argument values\n",
"\n",
"\n",
"You can see here that"
]
}
],
"metadata": {},
"nbformat": 4,
"nbformat_minor": 2
}
%% Cell type:markdown id: tags:
# Function inputs and outputs
In Python, arguments to a function can be specified in two different ways - by
using _positional_ arguments, or by using _keyword_ arguments.
## Positional arguments
Let's say we have a function that looks like this
%% Cell type:code id: tags:
```
def myfunc(a, b, c):
print('First argument: ', a)
print('Second argument:', b)
print('Third argument: ', c)
```
%% Cell type:markdown id: tags:
If we call this function like so:
%% Cell type:code id: tags:
```
myfunc(1, 2, 3)
```
%% Cell type:markdown id: tags:
The values
`1`
,
`2`
and
`3`
get assigned to arguments
`a`
,
`b`
, and
`c`
respectively, based on the position in which they are passed.
Python allows us to pass positional arguments into a function from a sequence,
using the star (
`*`
) operator. So we could store our arguments in a list or
tuple, and then pass the list straight in:
%% Cell type:code id: tags:
```
args = [3, 4, 5]
myfunc(*args)
```
%% Cell type:markdown id: tags:
You can think of the star operator as 'unpacking' the contents of the
sequence.
## Keyword arguments
Using keyword arguments allows us to pass arguments to a function in any order
we like. We could just as easily call our
`myfunc`
function like so, and get
the same result that we did earlier when using positional arguments:
%% Cell type:code id: tags:
```
myfunc(c=3, b=2, a=1)
```
%% Cell type:markdown id: tags:
Python has another operator - the double-star (
`**`
), which will unpack
keyword arguments from
`dict`
. For example:
%% Cell type:code id: tags:
```
kwargs = {'a' : 4, 'b' : 5, 'c' : 6}
myfunc(**kwargs)
```
%% Cell type:markdown id: tags:
## Combining positional and keyword arguments
In fact, we can use both of these techniques at once, like so:
%% Cell type:code id: tags:
```
args = (100, 200)
kwargs = {'c' : 300}
myfunc(*args, **kwargs)
```
%% Cell type:markdown id: tags:
## Default argument values
Function arguments can be given default values, like so:
%% Cell type:code id: tags:
```
myfunc(a=1, b=2, c=3):
print('First argument: ', a)
print('Second argument:', b)
print('Third argument: ', c)
```
%% Cell type:markdown id: tags:
Now we can call
`myfunc`
, only passing the arguments that we need to. The
arguments which are unspecified in the function call will be assigned their
default value:
%% Cell type:code id: tags:
```
myfunc()
myfunc(10)
myfunc(10, b=30)
myfunc(c=300)
```
%% Cell type:markdown id: tags:
> Pitfall: mutable argument values
You can see here that
This diff is collapsed.
Click to expand it.
advanced_topics/function_inputs_and_outputs.md
0 → 100644
+
112
−
0
View file @
48903cbb
# Function inputs and outputs
In Python, arguments to a function can be specified in two different ways - by
using _positional_ arguments, or by using _keyword_ arguments.
## Positional arguments
Let's say we have a function that looks like this
```
def myfunc(a, b, c):
print('First argument: ', a)
print('Second argument:', b)
print('Third argument: ', c)
```
If we call this function like so:
```
myfunc(1, 2, 3)
```
The values
`1`
,
`2`
and
`3`
get assigned to arguments
`a`
,
`b`
, and
`c`
respectively, based on the position in which they are passed.
Python allows us to pass positional arguments into a function from a sequence,
using the star (
`*`
) operator. So we could store our arguments in a list or
tuple, and then pass the list straight in:
```
args = [3, 4, 5]
myfunc(*args)
```
You can think of the star operator as 'unpacking' the contents of the
sequence.
## Keyword arguments
Using keyword arguments allows us to pass arguments to a function in any order
we like. We could just as easily call our
`myfunc`
function like so, and get
the same result that we did earlier when using positional arguments:
```
myfunc(c=3, b=2, a=1)
```
Python has another operator - the double-star (
`**`
), which will unpack
keyword arguments from
`dict`
. For example:
```
kwargs = {'a' : 4, 'b' : 5, 'c' : 6}
myfunc(**kwargs)
```
## Combining positional and keyword arguments
In fact, we can use both of these techniques at once, like so:
```
args = (100, 200)
kwargs = {'c' : 300}
myfunc(*args, **kwargs)
```
## Default argument values
Function arguments can be given default values, like so:
```
myfunc(a=1, b=2, c=3):
print('First argument: ', a)
print('Second argument:', b)
print('Third argument: ', c)
```
Now we can call
`myfunc`
, only passing the arguments that we need to. The
arguments which are unspecified in the function call will be assigned their
default value:
```
myfunc()
myfunc(10)
myfunc(10, b=30)
myfunc(c=300)
```
> Pitfall: mutable argument values
You can see here that
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Click to expand it.
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