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The file akaroawindgusts.txt contains hourly maximum wind gusts speeds at the Akaroa Electronic weather station (Ews) through February 2014. Inspect it in any halfway decent text editor (not Microsoft Notepad, but Wing will do) so you can see which column contains the wind speed data, how many rows to skip, and what the column separator (delimiter) is. Then write a function plot_wind gust _histogram(filename) that reads a file in that format and plots a histogram of the peak wind gust speeds. The graph you get should look like the one below. Wind gusts from akaroawindgusts.txt 250 200 150 100 50 10 20 30 40 50 60 70 80 90 100 110 120 130 140 Wind gust speed (km/h) Notes: • The bins are all 10 km/h wide, starting at 0 - 10 and finishing at 130 - 140. You must set these bins explicitly. • It is not a density plot - the vertical axis displays a count of how many records were in each bin. You will have to explicitly set x ticks every 10 km/h. • Your function is not permitted to use any loops, if statements, or list comprehensions. • Your plot should have the title "Wind gusts from (filename}" (where (filename} is the given filename), x-label "Wind gust speed (km/h)", and y-label "Count". • We won't check the colour of your graph. (However, if you'd like your graph to exactly match the image above, the colour is set to "blue". You can find details on how to change the colour later in this module under 'More cool matplotlib stuff'.) • Do not include a call to plot_wind_gust_histogram - the tests will call your function. Count

The file akaroawindgusts.txt contains hourly maximum wind gusts speeds at the Akaroa Electronic weather station (Ews) through February 2014. Inspect it in any halfway decent text editor (not Microsoft Notepad, but Wing will do) so you can see which column contains the wind speed data, how many rows to skip, and what the column separator (delimiter) is. Then write a function plot_wind gust _histogram(filename) that reads a file in that format and plots a histogram of the peak wind gust speeds. The graph you get should look like the one below. Wind gusts from akaroawindgusts.txt 250 200 150 100 50 10 20 30 40 50 60 70 80 90 100 110 120 130 140 Wind gust speed (km/h) Notes: • The bins are all 10 km/h wide, starting at 0 - 10 and finishing at 130 - 140. You must set these bins explicitly. • It is not a density plot - the vertical axis displays a count of how many records were in each bin. You will have to explicitly set x ticks every 10 km/h. • Your function is not permitted to use any loops, if statements, or list comprehensions. • Your plot should have the title "Wind gusts from (filename}" (where (filename} is the given filename), x-label "Wind gust speed (km/h)", and y-label "Count". • We won't check the colour of your graph. (However, if you'd like your graph to exactly match the image above, the colour is set to "blue". You can find details on how to change the colour later in this module under 'More cool matplotlib stuff'.) • Do not include a call to plot_wind_gust_histogram - the tests will call your function. Count

Computer Networking: A Top-Down Approach (7th Edition)
Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
Section: Chapter Questions
Problem R1RQ: What is the difference between a host and an end system? List several different types of end...
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The file akaroawindgusts.txt contains hourly maximum wind gusts speeds at the Akaroa Electronic weather station (Ews) through February 2014. Inspect it in any halfway decent text editor (not Microsoft Notepad, but Wing will do) so you can see which column contains the wind speed data, how many rows to skip, and what the column separator (delimiter) is. Then write a function plot_ wind gust histogram(filename) that reads a file in that format and plots a histogram of the peak wind gust speeds. The graph you get should look like the one below. Wind gusts from akaroawindgusts.txt 250 200 150 100 50 0 10 20 30 40 50 60 70 80 90 100 110 120 130 140 Wind gust speed (km/h) Notes: • The bins are all 10 km/h wide, starting at 0 10 and finishing at 130 - 140. You must set these bins explicitly. • It is not a density plot - the vertical axis displays a count of how many records were in each bin. • You will have to explicitly set x ticks every 10 km/h. • Your function is not permitted to use any loops, if statements, or list comprehensions. • Your plot should have the title "Wind gusts from {filename}" (where (filename} is the given filename), x-label "Wind gust speed (km/h)", and y-label "Count". • We won't check the colour of your graph. (However, if you'd like your graph to exactly match the image above, the colour is set to "blue". You can find details on how to change the colour later in this module under 'More cool matplotlib stuff.) • Do not include a call to plot_wind_gust_histogram - the tests will call your function. Count
Transcribed Image Text:The file akaroawindgusts.txt contains hourly maximum wind gusts speeds at the Akaroa Electronic weather station (Ews) through February 2014. Inspect it in any halfway decent text editor (not Microsoft Notepad, but Wing will do) so you can see which column contains the wind speed data, how many rows to skip, and what the column separator (delimiter) is. Then write a function plot_ wind gust histogram(filename) that reads a file in that format and plots a histogram of the peak wind gust speeds. The graph you get should look like the one below. Wind gusts from akaroawindgusts.txt 250 200 150 100 50 0 10 20 30 40 50 60 70 80 90 100 110 120 130 140 Wind gust speed (km/h) Notes: • The bins are all 10 km/h wide, starting at 0 10 and finishing at 130 - 140. You must set these bins explicitly. • It is not a density plot - the vertical axis displays a count of how many records were in each bin. • You will have to explicitly set x ticks every 10 km/h. • Your function is not permitted to use any loops, if statements, or list comprehensions. • Your plot should have the title "Wind gusts from {filename}" (where (filename} is the given filename), x-label "Wind gust speed (km/h)", and y-label "Count". • We won't check the colour of your graph. (However, if you'd like your graph to exactly match the image above, the colour is set to "blue". You can find details on how to change the colour later in this module under 'More cool matplotlib stuff.) • Do not include a call to plot_wind_gust_histogram - the tests will call your function. Count
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