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Write the function plot_all_time_series (filename) that takes a filename and plots lines showing the TL13 over time for all lakes in the file. Notes: • Your function must set the names for each data plot (using label=...) and display a legend, in the default location (that is, you don't need to specify the legend location - leave it to matplotlib). o Be aware, the label for each line won't be listed if you don't turn on the legend. • The graph title should be generated using the following f-string, f'TLI3 over time for all lakes in {filename}'. • Other than that your graph be just like your single series graph except that it has multiple plots drawn on the same axes. • You should include and call, at least, your float_array and read_raw_data_dict functions. Don't reinvent the wheel! In fact you can include all your code so far :) • No function definition can contain more than 20 lines of code (excluding docstring and comments). Example plot plot_all_time_series ('time_series_01.csv') should produce the following graph.

Write the function plot_all_time_series (filename) that takes a filename and plots lines showing the TL13 over time for all lakes in the file. Notes: • Your function must set the names for each data plot (using label=...) and display a legend, in the default location (that is, you don't need to specify the legend location - leave it to matplotlib). o Be aware, the label for each line won't be listed if you don't turn on the legend. • The graph title should be generated using the following f-string, f'TLI3 over time for all lakes in {filename}'. • Other than that your graph be just like your single series graph except that it has multiple plots drawn on the same axes. • You should include and call, at least, your float_array and read_raw_data_dict functions. Don't reinvent the wheel! In fact you can include all your code so far :) • No function definition can contain more than 20 lines of code (excluding docstring and comments). Example plot plot_all_time_series ('time_series_01.csv') should produce the following graph.

Database System Concepts
Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
Problem 1PE
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Write the function plot_all_time_series (filename) that takes a filename and plots lines showing the TL13 over time for all lakes in the file. Notes: • Your function must set the names for each data plot (using label=...) and display a legend, in the default location (that is, you don't need to specify the legend location - leave it to matplotlib). o Be aware, the label for each line won't be listed if you don't turn on the legend. • The graph title should be generated using the following f-string, f'TLI3 over time for all lakes in (filename}'. • Other than that your graph be just like your single series graph except that it has multiple plots drawn on the same axes. • You should include and call, at least, your float_array and read_raw_data_dict functions. Don't reinvent the wheel! In fact you can include all your code so far :) • No function definition can contain more than 20 lines of code (excluding docstring and comments). Example plot plot_all_time_series('time_series_01.csv') should produce the following graph. TL13 over time for all lakes in time_series_01.csv 10 A lake1 lake2 lake3 lake4 2001 2002 2003 2004 2005 TL13 8 6 4 2 2000 Year
Transcribed Image Text:Write the function plot_all_time_series (filename) that takes a filename and plots lines showing the TL13 over time for all lakes in the file. Notes: • Your function must set the names for each data plot (using label=...) and display a legend, in the default location (that is, you don't need to specify the legend location - leave it to matplotlib). o Be aware, the label for each line won't be listed if you don't turn on the legend. • The graph title should be generated using the following f-string, f'TLI3 over time for all lakes in (filename}'. • Other than that your graph be just like your single series graph except that it has multiple plots drawn on the same axes. • You should include and call, at least, your float_array and read_raw_data_dict functions. Don't reinvent the wheel! In fact you can include all your code so far :) • No function definition can contain more than 20 lines of code (excluding docstring and comments). Example plot plot_all_time_series('time_series_01.csv') should produce the following graph. TL13 over time for all lakes in time_series_01.csv 10 A lake1 lake2 lake3 lake4 2001 2002 2003 2004 2005 TL13 8 6 4 2 2000 Year
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