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Python 3 Help Here is the DataFrame: extract_fig_2_frame: This function takes the DataFrame you created in hw5 (illustrated at the bottom of the previous page)
Python 3 Help
Here is the DataFrame:
extract_fig_2_frame: This function takes the DataFrame you created in hw5 (illustrated at the bottom of the previous page) and returns a frame that looks like this: 1980s 1990s 2000s 2010s 0101 14.1706 13.9606 13.3485 12.9279 0102 14.2604 14.0418 13.3712 12.9799 0103 14.3373 14.0667 13.4223 12.9916 1229 13.9344 13.7247 13.1407 12.7126 1230 13.9843 13.7758 13.1793 12.7563 1231 14.0718 13.7829 13.2192 12.7819 The values are the decadal means for the given day of the year. We only have 1 year so far for the 2020's, so we're not doing that decade, yet. 1979 1980 1981 1982 1983 1984 0101 14.7910 14.2000 14.2560 14.3515 14.2530 14.0050 0102 14.9970 14.2510 14.3560 14.4790 14.2795 14.1030 0103 14.9595 14.3020 14.4560 14.5605 14.3060 14.1700 0104 14.9220 14.3580 14.4455 14.6420 14.4000 14.2370 extract_fig_2_frame: This function takes the DataFrame you created in hw5 (illustrated at the bottom of the previous page) and returns a frame that looks like this: 1980s 1990s 2000s 2010s 0101 14.1706 13.9606 13.3485 12.9279 0102 14.2604 14.0418 13.3712 12.9799 0103 14.3373 14.0667 13.4223 12.9916 1229 13.9344 13.7247 13.1407 12.7126 1230 13.9843 13.7758 13.1793 12.7563 1231 14.0718 13.7829 13.2192 12.7819 The values are the decadal means for the given day of the year. We only have 1 year so far for the 2020's, so we're not doing that decade, yet. 1979 1980 1981 1982 1983 1984 0101 14.7910 14.2000 14.2560 14.3515 14.2530 14.0050 0102 14.9970 14.2510 14.3560 14.4790 14.2795 14.1030 0103 14.9595 14.3020 14.4560 14.5605 14.3060 14.1700 0104 14.9220 14.3580 14.4455 14.6420 14.4000 14.2370Step by Step Solution
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