|
103 | 103 | "gpas = np.array(gpas_as_list)" |
104 | 104 | ] |
105 | 105 | }, |
106 | | - { |
107 | | - "cell_type": "code", |
108 | | - "execution_count": 6, |
109 | | - "metadata": {}, |
110 | | - "outputs": [], |
111 | | - "source": [ |
112 | | - "?gpas" |
113 | | - ] |
114 | | - }, |
115 | 106 | { |
116 | 107 | "cell_type": "code", |
117 | 108 | "execution_count": 7, |
|
565 | 556 | "plt.plot()" |
566 | 557 | ] |
567 | 558 | }, |
568 | | - { |
569 | | - "cell_type": "code", |
570 | | - "execution_count": null, |
571 | | - "metadata": {}, |
572 | | - "outputs": [], |
573 | | - "source": [] |
574 | | - }, |
575 | | - { |
576 | | - "cell_type": "code", |
577 | | - "execution_count": null, |
578 | | - "metadata": {}, |
579 | | - "outputs": [], |
580 | | - "source": [] |
581 | | - }, |
582 | 559 | { |
583 | 560 | "cell_type": "markdown", |
584 | 561 | "metadata": {}, |
|
614 | 591 | "study_minutes" |
615 | 592 | ] |
616 | 593 | }, |
617 | | - { |
618 | | - "cell_type": "code", |
619 | | - "execution_count": null, |
620 | | - "metadata": {}, |
621 | | - "outputs": [], |
622 | | - "source": [] |
623 | | - }, |
624 | 594 | { |
625 | 595 | "cell_type": "code", |
626 | 596 | "execution_count": 28, |
|
760 | 730 | " * Resulting array shape matches the index array layout. Be careful to distinguish between the tuple shortcut and fancy indexing." |
761 | 731 | ] |
762 | 732 | }, |
763 | | - { |
764 | | - "cell_type": "code", |
765 | | - "execution_count": null, |
766 | | - "metadata": {}, |
767 | | - "outputs": [], |
768 | | - "source": [] |
769 | | - }, |
770 | 733 | { |
771 | 734 | "cell_type": "code", |
772 | 735 | "execution_count": 36, |
|
1138 | 1101 | "* There is also a function named [`accumulate`](https://docs.scipy.org/doc/numpy/reference/generated/numpy.ufunc.accumulate.html) which will show the reduction and it's accumulation as it happens." |
1139 | 1102 | ] |
1140 | 1103 | }, |
1141 | | - { |
1142 | | - "cell_type": "code", |
1143 | | - "execution_count": null, |
1144 | | - "metadata": {}, |
1145 | | - "outputs": [], |
1146 | | - "source": [] |
1147 | | - }, |
1148 | 1104 | { |
1149 | 1105 | "cell_type": "code", |
1150 | 1106 | "execution_count": 54, |
|
1265 | 1221 | "plt.plot()" |
1266 | 1222 | ] |
1267 | 1223 | }, |
1268 | | - { |
1269 | | - "cell_type": "code", |
1270 | | - "execution_count": null, |
1271 | | - "metadata": {}, |
1272 | | - "outputs": [], |
1273 | | - "source": [] |
1274 | | - }, |
1275 | | - { |
1276 | | - "cell_type": "code", |
1277 | | - "execution_count": null, |
1278 | | - "metadata": {}, |
1279 | | - "outputs": [], |
1280 | | - "source": [] |
1281 | | - }, |
1282 | | - { |
1283 | | - "cell_type": "code", |
1284 | | - "execution_count": null, |
1285 | | - "metadata": {}, |
1286 | | - "outputs": [], |
1287 | | - "source": [] |
1288 | | - }, |
1289 | 1224 | { |
1290 | 1225 | "cell_type": "markdown", |
1291 | 1226 | "metadata": {}, |
|
1736 | 1671 | "practice.ravel()" |
1737 | 1672 | ] |
1738 | 1673 | }, |
1739 | | - { |
1740 | | - "cell_type": "code", |
1741 | | - "execution_count": 78, |
1742 | | - "metadata": {}, |
1743 | | - "outputs": [], |
1744 | | - "source": [ |
1745 | | - "np.ravel?\n" |
1746 | | - ] |
1747 | | - }, |
1748 | 1674 | { |
1749 | 1675 | "cell_type": "markdown", |
1750 | 1676 | "metadata": {}, |
|
2045 | 1971 | "source": [ |
2046 | 1972 | "np.add(x1, 2)" |
2047 | 1973 | ] |
2048 | | - }, |
2049 | | - { |
2050 | | - "cell_type": "code", |
2051 | | - "execution_count": null, |
2052 | | - "metadata": {}, |
2053 | | - "outputs": [], |
2054 | | - "source": [] |
2055 | | - }, |
2056 | | - { |
2057 | | - "cell_type": "code", |
2058 | | - "execution_count": null, |
2059 | | - "metadata": {}, |
2060 | | - "outputs": [], |
2061 | | - "source": [] |
2062 | | - }, |
2063 | | - { |
2064 | | - "cell_type": "code", |
2065 | | - "execution_count": null, |
2066 | | - "metadata": {}, |
2067 | | - "outputs": [], |
2068 | | - "source": [] |
2069 | | - }, |
2070 | | - { |
2071 | | - "cell_type": "code", |
2072 | | - "execution_count": null, |
2073 | | - "metadata": {}, |
2074 | | - "outputs": [], |
2075 | | - "source": [] |
2076 | | - }, |
2077 | | - { |
2078 | | - "cell_type": "code", |
2079 | | - "execution_count": null, |
2080 | | - "metadata": {}, |
2081 | | - "outputs": [], |
2082 | | - "source": [] |
2083 | | - }, |
2084 | | - { |
2085 | | - "cell_type": "code", |
2086 | | - "execution_count": null, |
2087 | | - "metadata": {}, |
2088 | | - "outputs": [], |
2089 | | - "source": [] |
2090 | | - }, |
2091 | | - { |
2092 | | - "cell_type": "code", |
2093 | | - "execution_count": null, |
2094 | | - "metadata": {}, |
2095 | | - "outputs": [], |
2096 | | - "source": [] |
2097 | | - }, |
2098 | | - { |
2099 | | - "cell_type": "code", |
2100 | | - "execution_count": null, |
2101 | | - "metadata": {}, |
2102 | | - "outputs": [], |
2103 | | - "source": [] |
2104 | 1974 | } |
2105 | 1975 | ], |
2106 | 1976 | "metadata": { |
|
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