Question
sorry if this is too much but this is the data i have acquired, im needing help creating code to plot this on a graph
sorry if this is too much but this is the data i have acquired, im needing help creating code to plot this on a graph shown in picture, with the air_temp and apparent_t adhering to its allocated time step
timestep | air_temp | apparent_t |
0 | 15.2 | 13.1 |
1 | 15.5 | 13.7 |
2 | 15.9 | 14.1 |
3 | 16.4 | 14.7 |
4 | 16.8 | 15.1 |
5 | 16.9 | 14.8 |
6 | 17.1 | 15.4 |
7 | 17.3 | 15.6 |
8 | 17.8 | 16.3 |
9 | 17.5 | 15.8 |
10 | 17.6 | 15.6 |
11 | 17.5 | 15.4 |
12 | 17.7 | 15.6 |
13 | 17.7 | 15.3 |
14 | 17.4 | 15.3 |
15 | 17.3 | 15.1 |
16 | 17 | 14.6 |
17 | 16.8 | 14.7 |
18 | 16.6 | 12.8 |
19 | 16 | 11.9 |
20 | 14.8 | 11.4 |
21 | 13.2 | 9.8 |
22 | 12.5 | 10 |
23 | 12.7 | 9.9 |
24 | 13.6 | 9.9 |
25 | 13.7 | 10 |
26 | 14.2 | 10.5 |
27 | 14.7 | 10.6 |
28 | 14.7 | 10.8 |
29 | 14.8 | 10.9 |
30 | 15 | 10.7 |
31 | 15.3 | 10.7 |
32 | 15.5 | 10.3 |
33 | 15.4 | 10.4 |
34 | 15.5 | 10.5 |
35 | 15.5 | 9.9 |
36 | 15.3 | 10.2 |
37 | 15.6 | 10.1 |
38 | 16 | 9.4 |
39 | 15.8 | 10.3 |
40 | 16 | 9.8 |
41 | 16.2 | 9.1 |
42 | 16.2 | 9.1 |
43 | 16.2 | 8.7 |
44 | 16.4 | 8.8 |
45 | 16.5 | 9.3 |
46 | 16.5 | 9.3 |
47 | 16.6 | 9.4 |
48 | 16.8 | 9.9 |
49 | 17.1 | 10.2 |
50 | 17.3 | 11.2 |
51 | 17.8 | 11.3 |
52 | 18.1 | 11.2 |
53 | 18.5 | 13.2 |
54 | 19.5 | 14 |
55 | 20.4 | 14.7 |
56 | 21.4 | 15 |
57 | 22.1 | 16.8 |
58 | 22.1 | 16.3 |
59 | 21.8 | 16.2 |
60 | 21.9 | 16.3 |
61 | 22 | 16.6 |
62 | 21.8 | 17.7 |
63 | 21.2 | 16.3 |
64 | 20.6 | 15 |
65 | 20 | 14.8 |
66 | 19.4 | 12.4 |
67 | 19.1 | 12.6 |
68 | 18.2 | 12.6 |
69 | 17.6 | 11.5 |
70 | 16.8 | 13.2 |
71 | 15.3 | 11.9 |
72 | 13.8 | 9.2 |
73 | 13.9 | 8.5 |
74 | 12.6 | 8.3 |
75 | 11.4 | 7.2 |
76 | 10.9 | 6.6 |
77 | 10.9 | 7.4 |
78 | 11.1 | 6.5 |
79 | 11.5 | 6.9 |
80 | 11.6 | 7.8 |
81 | 11.6 | 6.4 |
82 | 12.1 | 7.5 |
83 | 12.4 | 7.5 |
84 | 12.8 | 9.4 |
85 | 12.9 | 10.5 |
86 | 12.9 | 10.7 |
87 | 13.3 | 11.4 |
88 | 13.8 | 11.1 |
89 | 12.5 | 9.6 |
90 | 12.4 | 11.2 |
91 | 12.5 | 10.8 |
92 | 12.7 | 11.1 |
93 | 12.5 | 10.4 |
94 | 12.3 | 10.6 |
95 | 12 | 10.2 |
96 | 12.4 | 11.3 |
97 | 12.4 | 10.7 |
98 | 12.6 | 10.8 |
99 | 13.2 | 11.7 |
100 | 14.1 | 10.6 |
101 | 14.2 | 10.4 |
102 | 14.2 | 10.2 |
103 | 14.2 | 9.9 |
104 | 14.2 | 9.8 |
105 | 14.1 | 9.8 |
106 | 14.2 | 9.3 |
107 | 14.3 | 9.5 |
108 | 14.6 | 9 |
109 | 14.6 | 8.9 |
110 | 14.7 | 9.1 |
111 | 14.7 | 8.8 |
112 | 14.6 | 8.6 |
113 | 14.6 | 10.9 |
114 | 13.8 | 10.3 |
115 | 13.2 | 8.6 |
116 | 14.1 | 8.8 |
117 | 13.9 | 9 |
118 | 13 | 9.8 |
119 | 12.9 | 10.1 |
120 | 12.5 | 9.7 |
121 | 12.5 | 8.7 |
122 | 12.1 | 8.7 |
123 | 12.6 | 7.6 |
124 | 11.7 | 7.8 |
125 | 11.4 | 7.4 |
126 | 11.5 | 7.6 |
127 | 11.7 | 6.5 |
128 | 11.4 | 7.2 |
129 | 11.7 | 7.9 |
130 | 11.7 | 6.4 |
131 | 13 | 7 |
132 | 12.6 | 6.6 |
133 | 12.9 | 5.5 |
134 | 12.8 | 5.8 |
135 | 12.5 | 7.2 |
136 | 13 | 7.5 |
137 | 12.5 | 9.1 |
138 | 12.8 | 9.7 |
139 | 13.3 | 7.8 |
140 | 13.3 | 7.2 |
141 | 14.3 | 8.7 |
142 | 14.1 | 8 |
143 | 14.3 | 8.3 |
144 | 14 | 10.8 |
145 | 14.2 | 12 |
146 | 14.2 | 12.4 |
147 | 14.5 | 11 |
148 | 14.6 | 10.4 |
149 | 14.8 | 13.2 |
150 | 14.9 | 10.8 |
151 | 14.9 | 11.2 |
152 | 15.2 | 12.9 |
153 | 15.3 | 12.8 |
154 | 14.4 | 10.7 |
155 | 15.5 | 14.7 |
156 | 15.6 | 15.2 |
157 | 15.5 | 13.5 |
NaN | NaN | NaN |
can i please get some guidance and some help on coding?.
PART 3-Read in values from a real data source using the Import Tool The Bureau of Meteorology (BOM) store a significant amount of data that scientists can utlise for their research. Much of this data can be downloaded in CSV format For this part, go to the BOM website's lates weather observations for Bellambi and scrol past all the data until you see the section "Other Formats Download the AXF file under Comma delimited format used in spreadsheet applicaions http://www.bom.gov.au/products/IDN60801IDNG0801.94749.shtml Use the built-in tools to import the data into a numeric array. Right click on the AXF file, select Tlmport Data...a Inside the tool, check that only the comma-separated- value rows are selected. Make sure the heading row and any non-data rows at the end of the fle are not selected. Under "imported Data" select Numeric Matrix. This will deal with the columns that are not numeric (highlighted in yellow) by inserting NaN. Once you have your data in a numeric matrix, plot the columns titled air temp and apparent t against the imestep (sort order) to obtain a plot (your plot data values will vary with the date and time of day). Add btle, and a legend as you see in the figure, right
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