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Commit 30921c7

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author
craigsdennis
committed
Added students_gpas for multi-dimensional array example
1 parent 7fa174b commit 30921c7

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‎Introduction to NumPy.ipynb

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"gpas.nbytes"
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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": 24,
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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": 24,
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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 = np.array([\n",
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" [4.0, 3.286, 3.5, 4.0],\n",
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" [3.2, 3.8, 4.0, 4.0],\n",
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" [3.96, 3.92, 4.0, 4.0]\n",
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"], np.float16)\n",
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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": 25,
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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"
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]
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},
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"execution_count": 25,
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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.ndim"
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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": 26,
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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, 4)"
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]
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},
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"execution_count": 26,
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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.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": 27,
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"metadata": {},
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"outputs": [
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"data": {
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"text/plain": [
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"12"
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]
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},
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"execution_count": 27,
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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.size"
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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": 28,
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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"
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]
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},
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"execution_count": 28,
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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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"len(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": 29,
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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"
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]
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},
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"execution_count": 29,
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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.itemsize"
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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": 30,
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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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"24"
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]
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},
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"execution_count": 30,
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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.itemsize * students_gpas.size"
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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": 31,
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"metadata": {},
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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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"Variable Type Data/Info\n",
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"------------------------------------\n",
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"gpas ndarray 4: 4 elems, type `float64`, 32 bytes\n",
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"students_gpas ndarray 3x4: 12 elems, type `float16`, 24 bytes\n",
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"study_minutes ndarray 100: 100 elems, type `uint16`, 200 bytes\n"
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]
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}
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],
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"source": [
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"%whos ndarray"
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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": 32,
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"metadata": {},
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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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"class: ndarray\n",
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"shape: (3, 4)\n",
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"strides: (8, 2)\n",
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"itemsize: 2\n",
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"aligned: True\n",
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"contiguous: True\n",
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"fortran: False\n",
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"data pointer: 0x7fb7c53ee240\n",
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"byteorder: little\n",
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"byteswap: False\n",
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"type: float16\n"
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]
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}
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],
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"source": [
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"np.info(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": 33,
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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([3.96, 3.92, 4. , 4. ], dtype=float16)"
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]
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},
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"execution_count": 33,
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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[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": 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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"4.0"
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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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"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": 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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