In this file you will fill in the code to use the turtle module to create an ani

ID: 3591438 • Letter: I

Question

In this file you will fill in the code to use the turtle module to create an animation of hurricane Irma's path. In the file are 2 functions, irma_setup and irma. You are NOT allowed to modify the irma_setup function. Your code is to be limited to the irma function.

In the irma_setup, the following are done for you:

Creating the screen and turtle

The turtle's shape is changed to that of a hurricane

Loading a background image of the Atlantic

Setting the world coordinates of the screen to match the latitude and longitude on the map

In the starter zip file there is a file named irma.csv. This data was scraped from https://www.wunderground.com/hurricane/atlantic/2017/hurricane-irma,
last access 9/14/2017. This file contains data about hurricane Irma. Each line contains 6 columns separated by commas (thus the .csv file extension). The file can be opened directly in PyCharm or opened in Excel for a columnar view. The first line of the file describes what each column is. Here are the first 3 lines of the file, separated into their columns:

Date

Time

Lat

Lon

Wind

Pressure

30-Aug

15:00 GMT

16.4

-30.3

1004

30-Aug

21:00 GMT

16.4

-31.2

1001

The only columns relevant to your code are Lat (the latitude), Lon (the longitude), and Wind (the wind speed in miles per hour).

Using the data in irma.csv, your irma function must show hurricane Irma's path. Your solution must include the following:

Correctly show each point in the data file (together with lines between each point)

At each point, you must display what category the storm is, if it has hurricane strength winds, otherwise, draw no text.

Color code the hurricane strength:

Red for Category 5

Orange for Category 4

Yellow for Category 3

Green for Category 2

Blue for Category 1

Black if not hurricane strength

The thickness of the line should change in proportion to the hurricane category.

The data from the irma.csv file:

Date

Time

Lat

Lon

Wind

Pressure

30-Aug

15:00 GMT

16.4

-30.3

1004

30-Aug

21:00 GMT

16.4

-31.2

1001

31-Aug

03:00 GMT

16.4

-32.2

999

31-Aug

09:00 GMT

16.5

-32.9

997

31-Aug

15:00 GMT

16.9

-33.8

100

979

31-Aug

21:00 GMT

17.3

-34.8

115

967

1-Sep

03:00 GMT

17.8

-35.6

115

967

1-Sep

09:00 GMT

18.2

-36.5

115

967

1-Sep

15:00 GMT

18.5

-37.8

110

972

1-Sep

21:00 GMT

18.8

-39.1

120

964

2-Sep

03:00 GMT

19.1

-40.5

115

967

2-Sep

09:00 GMT

-41.8

110

970

2-Sep

15:00 GMT

18.8

-43.3

110

973

2-Sep

21:00 GMT

18.5

-44.6

110

973

3-Sep

03:00 GMT

18.3

-46.2

110

973

3-Sep

09:00 GMT

-47.5

115

969

3-Sep

15:00 GMT

17.7

-48.4

115

969

3-Sep

21:00 GMT

17.6

-49.8

115

969

4-Sep

00:00 GMT

17.4

-50.3

115

959

4-Sep

03:00 GMT

17.2

-51

115

961

4-Sep

06:00 GMT

-51.5

115

961

4-Sep

09:00 GMT

16.9

-52.3

115

961

4-Sep

12:00 GMT

16.8

-52.6

120

947

4-Sep

15:00 GMT

16.8

-53.3

120

944

4-Sep

18:00 GMT

16.7

-53.8

120

944

4-Sep

21:00 GMT

16.7

-54.4

130

944

5-Sep

00:00 GMT

16.7

-55

140

943

5-Sep

03:00 GMT

16.7

-55.6

140

943

5-Sep

06:00 GMT

16.6

-56.4

145

939

5-Sep

09:00 GMT

16.6

-57

150

937

5-Sep

11:45 GMT

16.7

-57.7

175

929

5-Sep

12:00 GMT

16.7

-57.7

175

929

5-Sep

15:00 GMT

16.8

-58.4

180

931

5-Sep

18:00 GMT

16.9

-59.1

185

926

5-Sep

21:00 GMT

17.1

-59.8

185

926

6-Sep

00:00 GMT

17.2

-60.5

185

916

6-Sep

00:15 GMT

17.2

-60.5

185

916

6-Sep

03:00 GMT

17.4

-61.1

185

916

6-Sep

06:00 GMT

17.7

-61.8

185

914

6-Sep

09:00 GMT

17.9

-62.6

185

914

6-Sep

12:00 GMT

18.1

-63.3

185

918

6-Sep

15:00 GMT

18.2

-64

185

918

6-Sep

16:00 GMT

18.3

-64.2

185

922

6-Sep

17:00 GMT

18.4

-64.5

185

920

6-Sep

18:00 GMT

18.5

-64.7

185

920

6-Sep

19:00 GMT

18.6

-64.9

185

920

6-Sep

20:00 GMT

18.7

-65.1

185

920

6-Sep

21:00 GMT

18.8

-65.4

185

914

6-Sep

22:00 GMT

18.9

-65.6

185

914

6-Sep

23:00 GMT

-65.8

185

914

7-Sep

00:00 GMT

19.1

-66.1

185

914

7-Sep

01:00 GMT

19.2

-66.3

185

916

7-Sep

02:00 GMT

19.3

-66.6

185

916

7-Sep

03:00 GMT

19.4

-66.8

185

916

7-Sep

04:00 GMT

19.5

-67.1

185

918

7-Sep

05:00 GMT

19.6

-67.4

185

918

7-Sep

06:00 GMT

19.7

-67.7

180

921

7-Sep

07:00 GMT

19.7

-67.9

180

921

7-Sep

08:00 GMT

19.8

-68.1

180

921

7-Sep

09:00 GMT

-68.3

180

921

7-Sep

12:00 GMT

20.1

-69

180

921

7-Sep

15:00 GMT

20.4

-69.7

175

921

7-Sep

18:00 GMT

20.7

-70.4

175

922

7-Sep

21:00 GMT

20.9

-71.1

175

922

8-Sep

00:00 GMT

21.1

-71.8

175

919

8-Sep

03:00 GMT

21.3

-72.4

165

920

8-Sep

06:00 GMT

21.5

-73.3

160

925

8-Sep

09:00 GMT

21.7

-73.8

155

925

8-Sep

12:00 GMT

21.8

-74.7

150

927

8-Sep

15:00 GMT

-75.3

150

927

8-Sep

18:00 GMT

-76

155

925

8-Sep

21:00 GMT

22.1

-76.5

155

925

9-Sep

00:00 GMT

22.2

-77.2

155

924

9-Sep

03:00 GMT

22.1

-77.7

160

924

9-Sep

06:00 GMT

22.3

-78.2

160

930

9-Sep

09:00 GMT

22.5

-78.8

155

930

9-Sep

12:00 GMT

22.6

-79.6

130

937

9-Sep

15:00 GMT

22.8

-79.8

125

941

9-Sep

16:00 GMT

22.9

-79.9

125

941

9-Sep

17:00 GMT

-80

125

941

9-Sep

18:00 GMT

23.1

-80.2

125

941

9-Sep

19:00 GMT

23.1

-80.3

125

938

9-Sep

20:00 GMT

23.3

-80.4

125

938

9-Sep

21:00 GMT

23.4

-80.5

125

933

9-Sep

22:00 GMT

23.4

-80.7

125

933

9-Sep

23:00 GMT

23.4

-80.8

125

932

10-Sep

00:00 GMT

23.3

-80.8

120

932

10-Sep

01:00 GMT

23.4

-80.9

125

932

10-Sep

02:00 GMT

23.5

-81

120

933

10-Sep

03:00 GMT

23.5

-81

120

933

10-Sep

04:00 GMT

23.6

-81.1

120

932

10-Sep

05:00 GMT

23.7

-81.2

120

931

10-Sep

06:00 GMT

23.7

-81.3

130

931

10-Sep

07:00 GMT

23.9

-81.3

130

930

10-Sep

08:00 GMT

23.9

-81.4

130

928

10-Sep

09:00 GMT

24.1

-81.5

130

928

10-Sep

10:00 GMT

24.2

-81.4

130

929

10-Sep

11:00 GMT

24.4

-81.5

130

929

10-Sep

12:00 GMT

24.5

-81.5

130

929

10-Sep

13:00 GMT

24.6

-81.5

130

929

10-Sep

13:10 GMT

24.7

-81.5

130

929

10-Sep

14:00 GMT

24.8

-81.5

130

929

10-Sep

15:00 GMT

-81.5

130

933

10-Sep

15:10 GMT

-81.5

130

933

10-Sep

16:00 GMT

25.2

-81.6

130

933

10-Sep

17:00 GMT

25.4

-81.7

130

933

10-Sep

18:00 GMT

25.6

-81.8

120

936

10-Sep

19:00 GMT

25.7

-81.8

120

936

10-Sep

19:35 GMT

25.9

-81.7

115

940

10-Sep

20:00 GMT

-81.7

115

940

10-Sep

21:00 GMT

26.2

-81.8

110

938

10-Sep

22:00 GMT

26.3

-81.7

110

938

10-Sep

23:00 GMT

26.6

-81.7

110

940

11-Sep

00:00 GMT

26.7

-81.7

105

942

11-Sep

01:00 GMT

27.1

-81.8

105

942

11-Sep

02:00 GMT

27.3

-81.9

105

948

11-Sep

03:00 GMT

27.5

-81.9

100

952

11-Sep

04:00 GMT

27.7

-81.9

100

952

11-Sep

05:00 GMT

27.9

-82.1

100

952

11-Sep

06:00 GMT

28.2

-82.2

960

11-Sep

09:00 GMT

28.9

-82.6

965

11-Sep

12:00 GMT

29.5

-82.9

970

11-Sep

15:00 GMT

30.3

-83.1

975

11-Sep

18:00 GMT

30.8

-83.6

980

11-Sep

21:00 GMT

31.5

-84

985

12-Sep

00:00 GMT

31.9

-84.4

986

12-Sep

03:00 GMT

32.4

-84.9

988

12-Sep

09:00 GMT

-85.2

998

12-Sep

15:00 GMT

34.2

-87

1003

12-Sep

21:00 GMT

35.1

-88.2

1004

Example of what it should look like

Below is irma_setup:

import turtle

def irma_setup():

"""Creates the Turtle and the Screen with the map background

and coordinate system set to match latitude and longitude.

:return: a tuple containing the Turtle and the Screen

DO NOT CHANGE THE CODE IN THIS FUNCTION!

"""

import tkinter

turtle.setup(1025, 600) # set size of window to size of map

wn = turtle.Screen()

wn.title("Hurricane Irma")

# kludge to get the map shown as a background image,

# since wn.bgpic does not allow you to position the image

canvas = wn.getcanvas()

turtle.setworldcoordinates(-110, 0, 0, 50) # set the coordinate system to match lat/long

map_bg_img = tkinter.PhotoImage(file="atlantic-hurricane-tracking-map.gif")

# additional kludge for positioning the background image

# when setworldcoordinates is used

# for some reason I have to move it 15 less than than 1025 width

canvas.create_image(-1010, -600, anchor=tkinter.NW, image=map_bg_img)

t = turtle.Turtle()

wn.register_shape("hurricane.gif")

t.shape("hurricane.gif")

return (t, wn, map_bg_img)

def irma():

"""Animates the path of hurricane Irma

"""

(t, wn, map_bg_img) = irma_setup()

# your code to animate Irma goes here

# BEFORE the call to wn.exitonclick()

wn.exitonclick()

if __name__ == "__main__":

irma()

Date

Time

Lat

Lon

Wind

Pressure

30-Aug

15:00 GMT

16.4

-30.3

1004

30-Aug

21:00 GMT

16.4

-31.2

1001

Hurricane Irma U.S.A SPAIN NORTH ATLANTIC OCEAN ALGERIA MEXICO Mexico MAURITANIA MALI JAMAICA CAPE VERDE FASO GUINEA-BISSAUGUINEA COTES DTVOIRE PANAMA VENEZUELA St LEONE Monrev LIBERIA COLOMBIA BRAZIL

Explanation / Answer

People who want to help sea turtle nests battered by Hurricane Irma should leave the eggs and hatchlings alone, wildlife officials say. Instead, call the experts, because good intentions don’t necessarily make for good results.

Sea turtle nests on Florida’s beaches are facing dangerous coastal flooding in the wake of Hurricane Irma, which has been downgraded to a tropical storm as it whirls toward Georgia. But well-meaning humans are sometimes bigger threats than they realize. Remember the bison calf in Yellowstone that tourists tried to “rescue” from the cold by putting it in their car? The calf’s herd rejected it after rangers tried to reintroduce it, and the calf was ultimately euthanized.

That’s why Fish and Wildlife officials warn that even if receding flood waters leave sea turtle eggs exposed, the concerned public should leave them alone: sea turtles will weather the storm.

IF YOU SPOT AN INJURED SEA TURTLE OR DISTURBED NEST, CONTACT:

Five species of endangered sea turtles lay their eggs on Florida’s beaches between March and October. The females drop 100 or so golf ball-sized eggs into a hole in the sand, then abandon the nest to swim back out to sea. The eggs incubate for about two monthsbefore the tiny hatchlings emerge and shuffle en masse to the water — navigating by light. (Artificial lights can mess with turtle navigation systems.)

If a storm hits during nesting season, many of the unhatched eggs could be washed out of their nest and scattered. Nests that are temporarily submerged may still be okay, however, since female sea turtles build the nests to drain well.

Sea turtles also know better than to put all their eggs in one basket, the Mote Marine Laboratory & Aquarium reports. A female sea turtle lays between five and seven nests each year, boosting her odds that even if some nests are washed out or eaten by predators like raccoons or fire ants, others might still hatch successfully. In 2004, when three hurricanes struck Florida, nearly half of the loggerhead sea turtle nests still hatched, which is a typicalsuccess rate, the Fish and Wildlife Service reports.

The Mote Sea Turtle Conservation and Research Program documented a record-breaking number of nests this year, but the sea turtles have already had one major storm to contend with. At the beginning of August, Tropical Storm Emily struck Sarasota County, washing the protective, sandy covering away from many sea turtle nests. Some hatchlings were discovered floating in a nearby swimming pool.

It’s not just counterproductive to disturb eggs, hatchlings, and injured turtles, either: it’s against the law. Instead, it’s better to call the Mote Marine Laboratory or email the Florida Fish and Wildlife Conservation Commission (see the sidebar). To help the turtles, you’ll want to summon someone who knows how.

IN THIS STORYSTREAM

Hurricane Irma: all the news on one of the strongest hurricanes to hit the Atlantic

VIEW ALL 17 STORIES

NEXT UP IN SCIENCE

Below is irma_setup:

import turtle

def irma_setup():

"""Creates the Turtle and the Screen with the map background

and coordinate system set to match latitude and longitude.

:return: a tuple containing the Turtle and the Screen

DO NOT CHANGE THE CODE IN THIS FUNCTION!

"""

import tkinter

turtle.setup(1025, 600) # set size of window to size of map

wn = turtle.Screen()

wn.title("Hurricane Irma")

# kludge to get the map shown as a background image,

# since wn.bgpic does not allow you to position the image

canvas = wn.getcanvas()

turtle.setworldcoordinates(-110, 0, 0, 50) # set the coordinate system to match lat/long

map_bg_img = tkinter.PhotoImage(file="atlantic-hurricane-tracking-map.gif")

# additional kludge for positioning the background image

# when setworldcoordinates is used

# for some reason I have to move it 15 less than than 1025 width

canvas.create_image(-1010, -600, anchor=tkinter.NW, image=map_bg_img)

t = turtle.Turtle()

wn.register_shape("hurricane.gif")

t.shape("hurricane.gif")

return (t, wn, map_bg_img)

def irma():

"""Animates the path of hurricane Irma

"""

(t, wn, map_bg_img) = irma_setup()

# your code to animate Irma goes here

# BEFORE the call to wn.exitonclick()

wn.exitonclick()

if __name__ == "__main__":

irma()

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