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‎Week_0_python/e_practice_list.ipynb‎

Lines changed: 77 additions & 37 deletions
Original file line numberDiff line numberDiff line change
@@ -39,17 +39,24 @@
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"execution_count": 8,
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"metadata": {},
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"outputs": [],
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"[0.3666666666666667, 0.6333333333333333, 0.9, 1.0333333333333332]\n"
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]
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}
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],
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"source": [
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"# Once this works, try adding in more numbers to my_list_numbers to check that it still works\n",
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"my_list_numbers = [0.1, 0.2, 0.8, 0.9, 1.0, 1.2]\n",
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"\n",
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"my_list_averaged = []\n",
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"for v in my_list_numbers:\n",
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" my_list_averaged.append(v)\n",
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"print(f\"Averaged list: {my_list_averaged}\")"
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"for i, v in enumerate(my_list_numbers):\n",
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" if 0 < i < len(my_list_numbers) - 1: \n",
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" val = (my_list_numbers[i-1] + v + my_list_numbers[i+1]) / 3\n",
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" my_list_averaged.append(val)\n",
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"print(my_list_averaged)"
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]
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},
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{
@@ -105,27 +112,29 @@
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"execution_count": 15,
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"metadata": {},
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"outputs": [],
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"source": [
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"# Think of this as the header row of your csv file\n",
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"my_header_list = [\"a\", \"e\", \"b\", \"d\", \"c\", \"c\"]\n",
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"# Think of this as the second row of your csv file\n",
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"my_values_list = [0.3, 1.2, 5.2, 6.2, 3.2, 3.5]"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"execution_count": 21,
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"metadata": {},
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"outputs": [],
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Sorted: ['a', 'e', 'b', 'd', 'c', 'c']\n"
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]
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}
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],
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"source": [
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"# First try - sort my_header_list to be in alphabetical order\n",
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"# Copy over the list, since sorting edits in place\n",
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"my_header_list_sorted = my_header_list.copy()\n",
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"# Now sort it\n",
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"# TODO: Sort my_header_list_sorted (Google \"sort on python lists\")\n",
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"print(f\"Sorted: {my_header_list_sorted}\")"
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]
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},
@@ -145,21 +154,25 @@
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"execution_count": 23,
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"metadata": {},
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"outputs": [],
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Sorted iterable [('a', 0.3), ('b', 5.2), ('c', 3.2), ('c', 3.5), ('d', 6.2), ('e', 1.2)]\n",
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"Second list, sorted by first: [0.3, 5.2, 3.2, 3.5, 6.2, 1.2]\n"
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]
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}
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],
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"source": [
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"# A CAUTIONARY NOTE\n",
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"# NOTE: Do NOT do something like this - it SEEMS like it will work - and it will - but only if there are no\n",
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"# duplicate elements... Also, it's really inefficient.\n",
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"# Count how many elements there are in the my_sort_second_list_wrong - why are there so many?\n",
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"my_sort_second_list_wrong = []\n",
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"for h in sorted(my_header_list):\n",
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" for i, orig_h in enumerate(my_header_list):\n",
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" if h is orig_h:\n",
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" my_sort_second_list_wrong.append(my_values_list[i])\n",
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"print(f\"Wrong answer: {my_sort_second_list_wrong}\")\n",
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"# END A CAUTIONARY NOTE"
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"my_combined_lists = zip(my_header_list, my_values_list)\n",
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"my_combined_lists_sorted = sorted(zip(my_header_list, my_values_list))\n",
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"my_value_sorted = [hv[1] for hv in my_combined_lists_sorted]\n",
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"\n",
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"print(f\"Sorted iterable {my_combined_lists_sorted}\")\n",
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"print(f\"Second list, sorted by first: {my_value_sorted}\")"
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]
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},
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{
@@ -171,9 +184,19 @@
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"execution_count": 5,
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"metadata": {},
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"outputs": [],
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"#################### ANSWERS ####################\n",
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"Version 1\n",
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"[0.3666666666666667, 0.6333333333333333, 0.9, 1.0333333333333332]\n"
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]
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}
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],
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"source": [
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"print(\"#\" * 20 + \" ANSWERS \" + \"#\" * 20)\n",
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"print(\"Version 1\")\n",
@@ -210,9 +233,17 @@
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"execution_count": 9,
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"metadata": {},
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"outputs": [],
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Sorted: ['a', 'b', 'c', 'c', 'd', 'e']\n"
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]
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}
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],
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"source": [
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"# Sorting returns a NEW list that is sorted\n",
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"my_header_list_sorted.sort() # Sorts the list in-place\n",
@@ -221,9 +252,18 @@
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"execution_count": 10,
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"metadata": {},
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"outputs": [],
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Sorted iterable [('a', 0.3), ('b', 5.2), ('c', 3.2), ('c', 3.5), ('d', 6.2), ('e', 1.2)]\n",
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"Second list, sorted by first: [0.3, 5.2, 3.2, 3.5, 6.2, 1.2]\n"
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]
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}
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],
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"source": [
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"# Step 1: Zip the two UNSORTED lists together, then sort\n",
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"my_combined_lists = zip(my_header_list, my_values_list)\n",
@@ -253,7 +293,7 @@
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.7.4"
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"version": "3.10.13"
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}
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},
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"nbformat": 4,

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