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Commit d241a74

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author
craigsdennis
committed
Talk about common routines, mean and sum and their axis parameter
1 parent 02064a9 commit d241a74

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‎Introduction to NumPy.ipynb

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"students_gpas[2][3]"
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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": 85,
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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([[4. , 3.285, 3.5 , 4. ],\n",
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" [3.2 , 3.8 , 4. , 4. ],\n",
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" [3.96 , 3.92 , 4. , 4. ]], dtype=float16)"
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]
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},
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"execution_count": 85,
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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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"students_gpas"
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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": 86,
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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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"3.805"
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]
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},
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"execution_count": 86,
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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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"students_gpas.mean()"
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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": 89,
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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([3.695, 3.75 , 3.97 ], dtype=float16)"
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]
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},
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"execution_count": 89,
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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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"students_gpas.mean(axis=1)"
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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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"metadata": {},
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"outputs": [],
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"source": []
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},
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{
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"cell_type": "code",
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"execution_count": null,
@@ -1015,6 +1084,114 @@
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"study_minutes[2]"
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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": 91,
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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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"440"
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]
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},
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"execution_count": 91,
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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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"np.add.reduce(study_minutes[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": 92,
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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([150, 210, 290, 350, 350, 440, 440, 440, 440, 440, 440, 440, 440,\n",
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" 440, 440, 440, 440, 440, 440, 440, 440, 440, 440, 440, 440, 440,\n",
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" 440, 440, 440, 440, 440, 440, 440, 440, 440, 440, 440, 440, 440,\n",
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" 440, 440, 440, 440, 440, 440, 440, 440, 440, 440, 440, 440, 440,\n",
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" 440, 440, 440, 440, 440, 440, 440, 440, 440, 440, 440, 440, 440,\n",
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" 440, 440, 440, 440, 440, 440, 440, 440, 440, 440, 440, 440, 440,\n",
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" 440, 440, 440, 440, 440, 440, 440, 440, 440, 440, 440, 440, 440,\n",
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" 440, 440, 440, 440, 440, 440, 440, 440, 440], dtype=uint64)"
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]
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},
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"execution_count": 92,
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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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"np.add.accumulate(study_minutes[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": 93,
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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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"440"
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]
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},
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"execution_count": 93,
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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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"np.sum(study_minutes[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": 95,
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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([ 440, 420, 9290], dtype=uint64)"
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]
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},
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"execution_count": 95,
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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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"np.sum(study_minutes, axis=1)"
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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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"metadata": {},
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"outputs": [],
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"source": []
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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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"metadata": {},
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"outputs": [],
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"source": []
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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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"metadata": {},
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"outputs": [],
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"source": []
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},
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{
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"cell_type": "markdown",
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"metadata": {},

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