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Commitbe347ea

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author
craigsdennis
committed
Adds rounds to the study log
1 parent58faa40 commitbe347ea

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1 file changed

+256
-11
lines changed

1 file changed

+256
-11
lines changed

‎Introduction to NumPy.ipynb

Lines changed: 256 additions & 11 deletions
Original file line numberDiff line numberDiff line change
@@ -621,32 +621,277 @@
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},
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{
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"cell_type":"code",
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"execution_count":31,
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"execution_count":32,
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"metadata": {},
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"outputs": [],
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"source": [
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"study_minutes[2:6] = [80, 60, 30, 90]"
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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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"## Creation\n",
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"* Random state\n",
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"* Appending rows\n",
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"\n",
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"## Indexing\n",
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"* Shortcut (tuple)\n",
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"* Fancy Indexing"
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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":33,
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"metadata": {},
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"outputs": [],
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"source": [
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"study_minutes = np.array([\n",
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" study_minutes,\n",
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" np.zeros(100, np.uint16)\n",
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"])"
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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":34,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"(2, 100)"
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]
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},
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"execution_count":34,
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"metadata": {},
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"output_type":"execute_result"
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}
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],
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"source": [
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"study_minutes.shape"
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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":36,
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"metadata": {},
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"outputs": [],
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"source": [
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"# Set round 2 day 1 to 60\n",
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"study_minutes[1][0] = 60"
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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":37,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"60"
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]
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},
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"execution_count":37,
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"metadata": {},
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"output_type":"execute_result"
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}
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],
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"source": [
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"study_minutes[1, 0]"
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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":38,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"(1, 0)"
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]
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},
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"execution_count":38,
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"metadata": {},
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"output_type":"execute_result"
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}
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],
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"source": [
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"1, 0"
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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":39,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
630-
"array([150, 60, 80,60, 30, 90, 0, 0, 0, 0, 0, 0, 0,\n",
631-
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" 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
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" 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
636-
" 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
637-
" 0, 0, 0, 0, 0, 0, 0, 0, 0], dtype=uint16)"
734+
"array([132, 122, 128,44, 136, 129, 101,95,50, 132, 151,64, 104,\n",
735+
"175, 117, 146, 139, 129, 133, 176,98, 160, 179,99,82, 142,\n",
736+
"31, 106, 117,56,98,67, 121, 159,81, 170,31,50,49,\n",
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"87, 179,51, 116, 177, 118,78, 171, 117,88, 123, 102,44,\n",
738+
"79,31, 108,80,59, 137,84,93, 155, 160,67,80, 166,\n",
739+
"164,70,50, 102, 113,47, 131, 161, 118,82,89,81,43,\n",
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"81,38, 119,52,82,31, 159,57, 113,71, 121, 140,91,\n",
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"70,37, 106,64, 127, 110,58,93,79], dtype=uint16)"
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]
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},
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"execution_count":31,
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"execution_count":39,
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"metadata": {},
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"output_type":"execute_result"
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}
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],
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"source": [
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"rand = np.random.RandomState(42)\n",
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"fake_log = rand.randint(30, 180, size=100, dtype=np.uint16)\n",
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"fake_log"
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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":40,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"[44, 50]"
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]
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},
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"execution_count":40,
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"metadata": {},
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"output_type":"execute_result"
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}
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],
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"source": [
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"[fake_log[3], fake_log[8]]"
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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":41,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"array([44, 50], dtype=uint16)"
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]
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},
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"execution_count":41,
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"metadata": {},
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"output_type":"execute_result"
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}
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],
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"source": [
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"fake_log[[3, 8]]"
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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":42,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"array([[ 44, 50],\n",
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" [132, 122]], dtype=uint16)"
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]
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},
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"execution_count":42,
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"metadata": {},
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"output_type":"execute_result"
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}
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],
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"source": [
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"index = np.array([\n",
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" [3, 8],\n",
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" [0, 1]\n",
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"])\n",
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"fake_log[index]"
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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":44,
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"metadata": {},
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"outputs": [],
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"source": [
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"study_minutes = np.append(study_minutes, [fake_log], axis=0)"
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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":46,
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"metadata": {},
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"outputs": [],
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"source": [
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"study_minutes[1, 1] = 360"
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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":47,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"array([[150, 60, 80, 60, 30, 90, 0, 0, 0, 0, 0, 0, 0,\n",
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" 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
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" 0, 0, 0, 0, 0, 0, 0, 0, 0],\n",
862+
" [132, 122, 128, 44, 136, 129, 101, 95, 50, 132, 151, 64, 104,\n",
863+
" 175, 117, 146, 139, 129, 133, 176, 98, 160, 179, 99, 82, 142,\n",
864+
" 31, 106, 117, 56, 98, 67, 121, 159, 81, 170, 31, 50, 49,\n",
865+
" 87, 179, 51, 116, 177, 118, 78, 171, 117, 88, 123, 102, 44,\n",
866+
" 79, 31, 108, 80, 59, 137, 84, 93, 155, 160, 67, 80, 166,\n",
867+
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868+
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"execution_count":47,
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"metadata": {},
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"output_type":"execute_result"
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}
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],
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"source": [
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"study_minutes[2:6] = [80, 60, 30, 90]\n",
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"study_minutes"
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]
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},
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{
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"execution_count":null,
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"metadata": {},
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},
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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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