mirror of
https://github.com/donnemartin/data-science-ipython-notebooks.git
synced 2024-03-22 13:30:56 +08:00
Added dict items() snippet. Tweaked a few snippets and comments.
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@ -1,7 +1,7 @@
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"metadata": {
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"metadata": {
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"name": "",
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"name": "",
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"signature": "sha256:6d8f33055bf348eb4c2871340e68a3f7577e0a027f5c83423e35757e01e8243a"
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"signature": "sha256:af3d280883daa542ff4a3cccb240979e6b7c05fbe40cac48675cc8ef613e3483"
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"nbformat": 3,
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"nbformat": 3,
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"nbformat_minor": 0,
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"nbformat_minor": 0,
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@ -902,7 +902,7 @@
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"cell_type": "markdown",
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"cell_type": "markdown",
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"metadata": {},
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"metadata": {},
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"source": [
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"source": [
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"dict keys must be \"hashable\": immutable objects like scalars (int, float, string) or tuples whose objects are all immutable."
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"dict keys must be \"hashable\": immutable objects like scalars (int, float, string) or tuples whose objects are all immutable. Lists are mutable and therefore are not hashable, although you can convert the list portion to a tuple as a quick fix"
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@ -926,35 +926,6 @@
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],
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],
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"prompt_number": 32
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"prompt_number": 32
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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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"Lists are mutable and therefore are not hashable, although you can convert the list portion to a tuple as a quick fix"
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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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"hash((1, 2, [3, 4]))"
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],
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"language": "python",
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"metadata": {},
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"outputs": [
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{
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"ename": "TypeError",
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"evalue": "unhashable type: 'list'",
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"output_type": "pyerr",
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"traceback": [
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"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m\n\u001b[0;31mTypeError\u001b[0m Traceback (most recent call last)",
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"\u001b[0;32m<ipython-input-33-94f25bbf31b2>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mhash\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m2\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;36m3\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m4\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
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"\u001b[0;31mTypeError\u001b[0m: unhashable type: 'list'"
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]
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}
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],
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"prompt_number": 33
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},
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"cell_type": "markdown",
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"cell_type": "markdown",
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"metadata": {},
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"metadata": {},
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@ -974,13 +945,13 @@
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"metadata": {},
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"metadata": {},
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"output_type": "pyout",
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"output_type": "pyout",
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"prompt_number": 34,
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"prompt_number": 33,
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"text": [
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"text": [
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"['a', 'b', 5, 'z']"
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"['a', 'b', 5, 'z']"
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]
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]
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}
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}
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],
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],
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"prompt_number": 34
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"prompt_number": 33
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},
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"cell_type": "markdown",
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"cell_type": "markdown",
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@ -1001,12 +972,42 @@
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"metadata": {},
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"metadata": {},
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"output_type": "pyout",
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"output_type": "pyout",
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"prompt_number": 35,
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"prompt_number": 34,
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"text": [
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"text": [
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"['foo', [0, 1, 2, 3], 'bar', None]"
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"['foo', [0, 1, 2, 3], 'bar', None]"
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]
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]
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}
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}
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],
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],
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"prompt_number": 34
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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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"Iterate through a dictionary's keys and values"
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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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"for key, value in dict_1.items():\n",
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" print key, value"
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],
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"language": "python",
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"metadata": {},
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"outputs": [
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{
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"output_type": "stream",
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"stream": "stdout",
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"text": [
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"a foo\n",
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"b [0, 1, 2, 3]\n",
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"5 bar\n",
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"z None\n"
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]
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}
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],
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"prompt_number": 35
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"prompt_number": 35
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},
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},
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{
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