mirror of
https://github.com/donnemartin/data-science-ipython-notebooks.git
synced 2024-03-22 13:30:56 +08:00
Converted python comments to markdown to improve readability. Tweaked slice snippets.
This commit is contained in:
Donne Martin
parent
da26235b6d
commit
661b71035b
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@ -1,7 +1,7 @@
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{
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"metadata": {
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"name": "",
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||||
"signature": "sha256:f24f6112f8e8e28d262a4f84be84d1ae459154a9a445687d55392ff177e6a03c"
|
||||
"signature": "sha256:80ff2bfd9335618eb25e15d2708a5703a0249ba8c3beb2c78875bd7a0b8c8e3c"
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},
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"nbformat": 3,
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"nbformat_minor": 0,
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@ -22,11 +22,17 @@
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"## tuple"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"One dimensional, fixed-length, immutable sequence"
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]
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},
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{
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"cell_type": "code",
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"collapsed": false,
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"input": [
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"# One dimensional, fixed-length, immutable sequence\n",
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"tup = (1, 2, 3)\n",
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"tup"
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],
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@ -55,11 +61,17 @@
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"outputs": [],
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"prompt_number": 2
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"Convert to a tuple"
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]
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},
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{
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"cell_type": "code",
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"collapsed": false,
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"input": [
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"# Convert to a tuple\n",
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"type(tuple(a_list))"
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],
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"language": "python",
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@ -76,11 +88,17 @@
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],
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"prompt_number": 3
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"Nested tuples"
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]
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},
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{
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"cell_type": "code",
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"collapsed": false,
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"input": [
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"# Nested tuples\n",
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"nested_tup = ([1, 2, 3], (4, 5))\n",
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"nested_tup"
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],
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@ -98,11 +116,17 @@
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],
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"prompt_number": 4
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"Access by index O(1)"
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]
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},
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{
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"cell_type": "code",
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"collapsed": false,
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"input": [
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"# Access by index O(1)\n",
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"nested_tup[0]"
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],
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"language": "python",
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@ -119,11 +143,17 @@
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],
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"prompt_number": 5
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"Although tuples are immutable, their contents can contain mutable objects"
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]
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},
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{
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"cell_type": "code",
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"collapsed": false,
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"input": [
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"# Although tuples are immutable, their contents can contain mutable objects\n",
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"nested_tup[0].append(4)\n",
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"nested_tup[0]"
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],
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@ -141,12 +171,17 @@
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],
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"prompt_number": 6
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"Concatenate tuples by creating a new tuple and copying objects"
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]
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},
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{
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"cell_type": "code",
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"collapsed": false,
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"input": [
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"# Concatenate tuples\n",
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"# Creates a new tuple and copies objects\n",
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"(1, 3, 2) + (4, 5, 6)"
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],
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"language": "python",
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@ -163,11 +198,17 @@
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],
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"prompt_number": 7
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"Multiply copies references to objects (objects themselves are not copied)"
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]
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},
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{
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"cell_type": "code",
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"collapsed": false,
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"input": [
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"# Multiply copies references to objects (objects themselves are not copied)\n",
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"('foo', 'bar') * 2"
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],
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"language": "python",
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@ -184,11 +225,17 @@
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],
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"prompt_number": 8
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"Unpack tuples"
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]
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},
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{
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"cell_type": "code",
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"collapsed": false,
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"input": [
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"# Unpack tuples\n",
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"a, b = nested_tup\n",
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"a, b"
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],
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@ -206,11 +253,17 @@
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],
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"prompt_number": 9
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"Unpack nested tuples"
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]
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},
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{
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"cell_type": "code",
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"collapsed": false,
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"input": [
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"# Unpack nested tuples\n",
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"(a, b, c, d), (e, f) = nested_tup\n",
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"a, b, c, d, e, f"
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],
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@ -228,12 +281,17 @@
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],
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"prompt_number": 10
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"A common use of variable unpacking is when iterating over sequences of tuples or lists"
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]
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},
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{
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"cell_type": "code",
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"collapsed": false,
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"input": [
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"# A common use of variable unpacking is when iterating over sequences\n",
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"# of tuples or lists\n",
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"seq = [( 1, 2, 3), (4, 5, 6), (7, 8, 9)] \n",
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"for a, b, c in seq: \n",
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" print(a, b, c)"
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@ -260,11 +318,17 @@
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"## list"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"One dimensional, variable-length, mutable sequence"
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]
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},
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{
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"cell_type": "code",
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"collapsed": false,
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"input": [
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"# One dimensional, variable-length, mutable sequence\n",
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"a_list = [1, 2, 3]\n",
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"a_list"
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],
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@ -282,11 +346,17 @@
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],
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"prompt_number": 12
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"Convert to a list"
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]
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},
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{
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"cell_type": "code",
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"collapsed": false,
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"input": [
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"# Convert to a list\n",
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"type(list(tup))"
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],
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"language": "python",
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@ -303,11 +373,17 @@
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],
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"prompt_number": 13
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"Nested list"
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]
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},
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{
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"cell_type": "code",
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"collapsed": false,
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"input": [
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"# Nested list\n",
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"nested_list = [(1, 2, 3), [4, 5]]\n",
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"nested_list"
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],
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@ -325,11 +401,17 @@
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],
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"prompt_number": 14
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"Access by index"
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]
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},
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{
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"cell_type": "code",
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"collapsed": false,
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"input": [
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"# Access by index\n",
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"nested_list[1]"
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],
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"language": "python",
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@ -346,11 +428,17 @@
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],
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"prompt_number": 15
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"Append an element O(1)"
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]
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},
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{
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"cell_type": "code",
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"collapsed": false,
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"input": [
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"# Append an element O(1)\n",
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"nested_list.append(6)\n",
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"nested_list"
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],
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@ -368,12 +456,17 @@
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],
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"prompt_number": 16
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"Insert an element at a specific index. Insert is expensive as it has to shift subsequent elements O(n)."
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]
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},
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{
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"cell_type": "code",
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"collapsed": false,
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"input": [
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"# Insert an element at a specific index\n",
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"# Insert is expensive as it has to shift subsequent elements O(n)\n",
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"nested_list.insert(0, 'start')\n",
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"nested_list"
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],
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@ -391,13 +484,17 @@
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],
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"prompt_number": 17
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"Pop removes and returns an element from a specified index. Pop is expensive as it has to shift subsequent elements O(n). O(1) if pop is used for the last element"
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]
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},
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{
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"cell_type": "code",
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"collapsed": false,
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"input": [
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"# Pop removes and returns an element from a specified index\n",
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"# Pop is expensive as it has to shift subsequent elements O(n)\n",
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"# O(1) if pop is used for the last element\n",
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"nested_list.pop(0)\n",
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"nested_list"
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],
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@ -415,11 +512,17 @@
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],
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"prompt_number": 18
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"Remove locates the first such value and removes it O(n)"
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]
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},
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{
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"cell_type": "code",
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"collapsed": false,
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"input": [
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"# Remove locates the first such value and removes it O(n)\n",
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"nested_list.remove((1, 2, 3))\n",
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"nested_list"
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],
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@ -437,11 +540,17 @@
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],
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"prompt_number": 19
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"Check if a list contains a value O(n)"
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]
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},
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{
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"cell_type": "code",
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"collapsed": false,
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"input": [
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"# Check if a list contains a value O(n)\n",
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"6 in nested_list"
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],
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"language": "python",
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@ -458,12 +567,17 @@
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],
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"prompt_number": 20
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"Concatenate lists by creating a new list and copying objects"
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]
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},
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{
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"cell_type": "code",
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"collapsed": false,
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"input": [
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"# Concatenate lists\n",
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"# Creates a new list and copies objects\n",
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"[1, 3, 2] + [4, 5, 6]"
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],
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"language": "python",
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@ -480,12 +594,17 @@
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],
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"prompt_number": 21
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"Extend a list by appending elements. Faster than concatenating lists."
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]
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},
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{
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"cell_type": "code",
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"collapsed": false,
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"input": [
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"# Extend a list by appending elements\n",
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"# Faster than concatenating lists\n",
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"nested_list.extend([7, 8, 9])\n",
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"nested_list"
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],
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@ -510,11 +629,17 @@
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"## sort"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"Sort in-place O(n log n)"
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]
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},
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{
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"cell_type": "code",
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"collapsed": false,
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"input": [
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"# Sort in-place O(n log n)\n",
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"a_list = [1, 5, 3, 9, 7, 6]\n",
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"a_list.sort()\n",
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"a_list"
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@ -533,11 +658,17 @@
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],
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"prompt_number": 23
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"Sort by secondary key: str length"
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]
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},
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{
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"cell_type": "code",
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"collapsed": false,
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"input": [
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"# Sort by secondary key: str length\n",
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"b_list = ['the', 'quick', 'brown', 'fox', 'jumps', 'over']\n",
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"b_list.sort(key=len)\n",
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"b_list"
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@ -563,17 +694,35 @@
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"## bisect"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"The bisect module does not check whether the list is sorted, as this check would be expensive O(n). Using bisect on an unsorted list will not result in an error but could lead to incorrect results."
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]
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},
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{
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"cell_type": "code",
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"collapsed": false,
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"input": [
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"import bisect"
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],
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"language": "python",
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"metadata": {},
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"outputs": [],
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"prompt_number": 25
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"Find the location where an element should be inserted to keep the list sorted"
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]
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},
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{
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"cell_type": "code",
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"collapsed": false,
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"input": [
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"# The bisect module does not check whether the list is sorted, as this check\n",
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"# would be expensive O(n). Using bisect on an unsorted list will not result\n",
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"# in an error but could lead to incorrect results.\n",
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"import bisect\n",
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"\n",
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"# Find the location where an element should be inserted to keep the\n",
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"# list sorted\n",
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"c_list = [1, 2, 2, 3, 5, 13]\n",
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"bisect.bisect(c_list, 8)"
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],
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@ -583,19 +732,25 @@
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{
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"metadata": {},
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"output_type": "pyout",
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"prompt_number": 25,
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"prompt_number": 26,
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"text": [
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"5"
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]
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}
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],
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"prompt_number": 25
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"prompt_number": 26
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"Inserts an element into a location to keep the list sorted"
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]
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},
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{
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"cell_type": "code",
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"collapsed": false,
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"input": [
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"# Inserts an element into a location to keep the list sorted\n",
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"bisect.insort(c_list, 8)\n",
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"c_list"
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],
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{
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"metadata": {},
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"output_type": "pyout",
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"prompt_number": 26,
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"prompt_number": 27,
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"text": [
|
||||
"[1, 2, 2, 3, 5, 8, 13]"
|
||||
]
|
||||
}
|
||||
],
|
||||
"prompt_number": 26
|
||||
"prompt_number": 27
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
|
|
@ -627,58 +782,46 @@
|
|||
""
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"Select a section of list types (arrays, tuples, NumPy arrays) using [start:stop]. start is included, stop is not. The number of elements in the result is stop - start."
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"collapsed": false,
|
||||
"input": [
|
||||
"# Select a section of list types (arrays, tuples, NumPy arrays)\n",
|
||||
"# start:stop\n",
|
||||
"# start is included, stop is not\n",
|
||||
"# number of elements in the result is stop - start\n",
|
||||
"d_list = 'Monty Python'\n",
|
||||
"d_list[6:10]"
|
||||
],
|
||||
"language": "python",
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"metadata": {},
|
||||
"output_type": "pyout",
|
||||
"prompt_number": 27,
|
||||
"text": [
|
||||
"'Pyth'"
|
||||
]
|
||||
}
|
||||
],
|
||||
"prompt_number": 27
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"collapsed": false,
|
||||
"input": [
|
||||
"# Omit start to default to start of the sequence\n",
|
||||
"d_list[:5]"
|
||||
],
|
||||
"language": "python",
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"metadata": {},
|
||||
"output_type": "pyout",
|
||||
"prompt_number": 28,
|
||||
"text": [
|
||||
"'Monty'"
|
||||
"'Pyth'"
|
||||
]
|
||||
}
|
||||
],
|
||||
"prompt_number": 28
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"Omit start to default to start of the sequence"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"collapsed": false,
|
||||
"input": [
|
||||
"# Omit end to default to end of the sequence\n",
|
||||
"d_list[6:]"
|
||||
"d_list[:5]"
|
||||
],
|
||||
"language": "python",
|
||||
"metadata": {},
|
||||
|
|
@ -688,18 +831,24 @@
|
|||
"output_type": "pyout",
|
||||
"prompt_number": 29,
|
||||
"text": [
|
||||
"'Python'"
|
||||
"'Monty'"
|
||||
]
|
||||
}
|
||||
],
|
||||
"prompt_number": 29
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"Omit end to default to end of the sequence"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"collapsed": false,
|
||||
"input": [
|
||||
"# Negative indices slice relative to the end\n",
|
||||
"d_list[-12:-7]"
|
||||
"d_list[6:]"
|
||||
],
|
||||
"language": "python",
|
||||
"metadata": {},
|
||||
|
|
@ -709,19 +858,78 @@
|
|||
"output_type": "pyout",
|
||||
"prompt_number": 30,
|
||||
"text": [
|
||||
"'Monty'"
|
||||
"'Python'"
|
||||
]
|
||||
}
|
||||
],
|
||||
"prompt_number": 30
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"Negative indices slice relative to the end"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"collapsed": false,
|
||||
"input": [
|
||||
"# Slice can also take a step such as the one below, which takes\n",
|
||||
"# every other element\n",
|
||||
"e_list[::2]"
|
||||
"d_list[-12:-7]"
|
||||
],
|
||||
"language": "python",
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"metadata": {},
|
||||
"output_type": "pyout",
|
||||
"prompt_number": 31,
|
||||
"text": [
|
||||
"'Monty'"
|
||||
]
|
||||
}
|
||||
],
|
||||
"prompt_number": 31
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"Slice can also take a step such as the one below, which takes every other element"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"collapsed": false,
|
||||
"input": [
|
||||
"d_list[::2]"
|
||||
],
|
||||
"language": "python",
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"metadata": {},
|
||||
"output_type": "pyout",
|
||||
"prompt_number": 32,
|
||||
"text": [
|
||||
"'MnyPto'"
|
||||
]
|
||||
}
|
||||
],
|
||||
"prompt_number": 32
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"Passing -1 for the step reverses the list or tuple:"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"collapsed": false,
|
||||
"input": [
|
||||
"d_list[::-1]"
|
||||
],
|
||||
"language": "python",
|
||||
"metadata": {},
|
||||
|
|
@ -731,39 +939,23 @@
|
|||
"output_type": "pyout",
|
||||
"prompt_number": 33,
|
||||
"text": [
|
||||
"[1, 2, 5, 13]"
|
||||
"'nohtyP ytnoM'"
|
||||
]
|
||||
}
|
||||
],
|
||||
"prompt_number": 33
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"collapsed": false,
|
||||
"input": [
|
||||
"# Passing -1 for the step reverses the list or tuple:\n",
|
||||
"e_list[::-1]"
|
||||
],
|
||||
"language": "python",
|
||||
"cell_type": "markdown",
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"metadata": {},
|
||||
"output_type": "pyout",
|
||||
"prompt_number": 34,
|
||||
"text": [
|
||||
"[13, ['H', 'a', 'l', 'l'], 5, 3, 2, 1, 1]"
|
||||
"source": [
|
||||
"Assign elements to a slice. Slice range does not have to equal number of elements to assign."
|
||||
]
|
||||
}
|
||||
],
|
||||
"prompt_number": 34
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"collapsed": false,
|
||||
"input": [
|
||||
"# Assign elements to a slice\n",
|
||||
"# Slice range does not have to equal number of elements to assign\n",
|
||||
"e_list = [1, 1, 2, 3, 5, 8, 13]\n",
|
||||
"e_list[5:] = ['H', 'a', 'l', 'l']\n",
|
||||
"e_list"
|
||||
|
|
@ -774,20 +966,27 @@
|
|||
{
|
||||
"metadata": {},
|
||||
"output_type": "pyout",
|
||||
"prompt_number": 31,
|
||||
"prompt_number": 34,
|
||||
"text": [
|
||||
"[1, 1, 2, 3, 5, 'H', 'a', 'l', 'l']"
|
||||
]
|
||||
}
|
||||
],
|
||||
"prompt_number": 31
|
||||
"prompt_number": 34
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"Compare assigning into a slice (above) versus assigning into an index (below)"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"collapsed": false,
|
||||
"input": [
|
||||
"# Compare assigning into a slice (above) versus assigning into\n",
|
||||
"# an inde\n",
|
||||
"e_list = [1, 1, 2, 3, 5, 8, 13]\n",
|
||||
"e_list[5] = ['H', 'a', 'l', 'l']\n",
|
||||
"e_list"
|
||||
],
|
||||
"language": "python",
|
||||
|
|
@ -796,21 +995,13 @@
|
|||
{
|
||||
"metadata": {},
|
||||
"output_type": "pyout",
|
||||
"prompt_number": 32,
|
||||
"prompt_number": 35,
|
||||
"text": [
|
||||
"[1, 1, 2, 3, 5, ['H', 'a', 'l', 'l'], 13]"
|
||||
]
|
||||
}
|
||||
],
|
||||
"prompt_number": 32
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"collapsed": false,
|
||||
"input": [],
|
||||
"language": "python",
|
||||
"metadata": {},
|
||||
"outputs": []
|
||||
"prompt_number": 35
|
||||
}
|
||||
],
|
||||
"metadata": {}
|
||||
|
|
|
|||
Loading…
Reference in New Issue
Block a user