Mercurial > repos > jay > gaiac_precision
comparison gaiac_pm_data_pulling/Untitled.ipynb @ 3:1f9e67edde6a draft default tip
planemo upload for repository https://github.com/jaidevjoshi83/gaiac commit e9587f93346c7b55e1be00bad5844bf2db3ed03d-dirty
author | jay |
---|---|
date | Thu, 10 Jul 2025 19:42:02 +0000 |
parents | |
children |
comparison
equal
deleted
inserted
replaced
2:69b3190e5e64 | 3:1f9e67edde6a |
---|---|
1 { | |
2 "cells": [ | |
3 { | |
4 "cell_type": "code", | |
5 "execution_count": 1, | |
6 "id": "4707b84c-b2f9-4740-bd62-a159e2c7e123", | |
7 "metadata": {}, | |
8 "outputs": [], | |
9 "source": [ | |
10 "import pandas as pd" | |
11 ] | |
12 }, | |
13 { | |
14 "cell_type": "code", | |
15 "execution_count": 6, | |
16 "id": "c9870ed9-90cc-427b-b811-bd94c6b867c9", | |
17 "metadata": {}, | |
18 "outputs": [], | |
19 "source": [ | |
20 "a = [1,2,4,6]\n", | |
21 "b = [4,5,6,7]\n", | |
22 "\n", | |
23 "df = pd.DataFrame([a,b])" | |
24 ] | |
25 }, | |
26 { | |
27 "cell_type": "code", | |
28 "execution_count": 8, | |
29 "id": "502e66d5-022d-47af-a299-a918f0ebd887", | |
30 "metadata": {}, | |
31 "outputs": [ | |
32 { | |
33 "data": { | |
34 "text/html": [ | |
35 "<div>\n", | |
36 "<style scoped>\n", | |
37 " .dataframe tbody tr th:only-of-type {\n", | |
38 " vertical-align: middle;\n", | |
39 " }\n", | |
40 "\n", | |
41 " .dataframe tbody tr th {\n", | |
42 " vertical-align: top;\n", | |
43 " }\n", | |
44 "\n", | |
45 " .dataframe thead th {\n", | |
46 " text-align: right;\n", | |
47 " }\n", | |
48 "</style>\n", | |
49 "<table border=\"1\" class=\"dataframe\">\n", | |
50 " <thead>\n", | |
51 " <tr style=\"text-align: right;\">\n", | |
52 " <th></th>\n", | |
53 " <th>0</th>\n", | |
54 " <th>1</th>\n", | |
55 " </tr>\n", | |
56 " </thead>\n", | |
57 " <tbody>\n", | |
58 " <tr>\n", | |
59 " <th>0</th>\n", | |
60 " <td>1</td>\n", | |
61 " <td>4</td>\n", | |
62 " </tr>\n", | |
63 " <tr>\n", | |
64 " <th>1</th>\n", | |
65 " <td>2</td>\n", | |
66 " <td>5</td>\n", | |
67 " </tr>\n", | |
68 " <tr>\n", | |
69 " <th>2</th>\n", | |
70 " <td>4</td>\n", | |
71 " <td>6</td>\n", | |
72 " </tr>\n", | |
73 " <tr>\n", | |
74 " <th>3</th>\n", | |
75 " <td>6</td>\n", | |
76 " <td>7</td>\n", | |
77 " </tr>\n", | |
78 " </tbody>\n", | |
79 "</table>\n", | |
80 "</div>" | |
81 ], | |
82 "text/plain": [ | |
83 " 0 1\n", | |
84 "0 1 4\n", | |
85 "1 2 5\n", | |
86 "2 4 6\n", | |
87 "3 6 7" | |
88 ] | |
89 }, | |
90 "execution_count": 8, | |
91 "metadata": {}, | |
92 "output_type": "execute_result" | |
93 } | |
94 ], | |
95 "source": [ | |
96 "df.T" | |
97 ] | |
98 }, | |
99 { | |
100 "cell_type": "code", | |
101 "execution_count": null, | |
102 "id": "f39e7015-3e8b-4123-8ec7-c05547ee28b1", | |
103 "metadata": {}, | |
104 "outputs": [], | |
105 "source": [] | |
106 } | |
107 ], | |
108 "metadata": { | |
109 "kernelspec": { | |
110 "display_name": "Python 3 (ipykernel)", | |
111 "language": "python", | |
112 "name": "python3" | |
113 }, | |
114 "language_info": { | |
115 "codemirror_mode": { | |
116 "name": "ipython", | |
117 "version": 3 | |
118 }, | |
119 "file_extension": ".py", | |
120 "mimetype": "text/x-python", | |
121 "name": "python", | |
122 "nbconvert_exporter": "python", | |
123 "pygments_lexer": "ipython3", | |
124 "version": "3.10.14" | |
125 }, | |
126 "widgets": { | |
127 "application/vnd.jupyter.widget-state+json": { | |
128 "state": {}, | |
129 "version_major": 2, | |
130 "version_minor": 0 | |
131 } | |
132 } | |
133 }, | |
134 "nbformat": 4, | |
135 "nbformat_minor": 5 | |
136 } |