Write a program that loads in historical data on popular baby-names for the last 100 years. You can type in a name, and it graphs the rank of that name over time. A high ranking, like 5, means the name was the 5th most popular that year (top of the graph), while a low ranking like 879 means the name was not that popular (bottom of the graph). Write it in python the latest version The first function you will write and test is the clean_data function. The function is described in the starter code in a function header comment above the function. Here is the function: def clean_data(list, x): #TODO: write your code here pass Take a look at the first few lines of the data file: A 83 140 228 286 426 612 486 577 836 0 0 Aaliyah 0 0 0 0 0 0 0 0 0 380 215 Aaron 193 208 218 274 279 232 132 36 32 31 41 Each line is a baby name followed by how popular the name was in 11 different years. Each number is a ranking, so Aaron was 193th most popular name in 1900 and 41st most popular name in 2000. The lower the number, the more popular the name. However, if the name was not popular enough to make the list in a particular year, a zero was recorded. If we plot the data as is, a name that was so unpopular that it didn’t make the list (ranked 0) will appear most popular (since lower means more popular). Therefore, we need to clean up the data a bit in order for it to make sense. The function clean_data has two parameters. The first parameter is a list (e.g. a list of rankings by year for a particular baby name). The second parameter is a value x. The function will do in-place modification of the parameter list and replace all zeros with the value x. You will write this function generally. Here are three of the cases you should test: # test 1 # before data is cleaned list1 = [0, 4, 3, 2, 0, 6, 7, 8, 3, 0, 7, 7, 8, 3, 0] x1 = 5 # after data is cleaned list1 = [5, 4, 3, 2, 5, 6, 7, 8, 3, 5, 7, 7, 8, 3, 5] # test 2 # before data is cleaned list2 = [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] x2 = 10001 # after data is cleaned list2 = [10001, 10001, 10001, 10001, 10001, 10001, 10001, 10001, 10001, 10001, 10001] # test 3 # before data is cleaned list3 = [857, 797, 972, 883, 0, 0, 0, 0, 0, 0, 0] x3 = 1113 # after data is cleaned list3 = [857, 797, 972, 883, 1113, 1113, 1113, 1113, 1113, 1113, 1113] here is what I wrote for the clean data function: def clean_data(lists, x): for i in range(0, len(lists)): if lists[i] == 0: lists[i] = x return lists Then: Next step is You are going to writing a script that takes in a list of names as a single input string namestring = input("Enter baby names: ") For example, the prompt with the input could look like this: python3 main.py Enter baby names: Mary Megan Isabelle Your code should produce the following plot [1]: Plot should appear in your file tree with the filename: MaryMeganIsabelle.png. Another example is if the prompt with the input is: python3 main.py Enter baby names: Mario Marie Mary Marta Your code should produce the following plot [2]:
Write a program that loads in historical data on popular baby-names for the last 100 years. You can type in a name, and it graphs the rank of that name over time. A high ranking, like 5, means the name was the 5th most popular that year (top of the graph), while a low ranking like 879 means the name was not that popular (bottom of the graph).
Write it in python the latest version
The first function you will write and test is the clean_data function. The function is described in the starter code in a function header comment above the function. Here is the function:
def clean_data(list, x):
#TODO: write your code here
pass
Take a look at the first few lines of the data file:
A 83 140 228 286 426 612 486 577 836 0 0
Aaliyah 0 0 0 0 0 0 0 0 0 380 215
Aaron 193 208 218 274 279 232 132 36 32 31 41
Each line is a baby name followed by how popular the name was in 11 different years. Each number is a ranking, so Aaron was 193th most popular name in 1900 and 41st most popular name in 2000. The lower the number, the more popular the name. However, if the name was not popular enough to make the list in a particular year, a zero was recorded. If we plot the data as is, a name that was so unpopular that it didn’t make the list (ranked 0) will appear most popular (since lower means more popular). Therefore, we need to clean up the data a bit in order for it to make sense.
The function clean_data has two parameters. The first parameter is a list (e.g. a list of rankings by year for a particular baby name). The second parameter is a value x. The function will do in-place modification of the parameter list and replace all zeros with the value x.
You will write this function generally. Here are three of the cases you should test:
# test 1
# before data is cleaned
list1 = [0, 4, 3, 2, 0, 6, 7, 8, 3, 0, 7, 7, 8, 3, 0]
x1 = 5
# after data is cleaned
list1 = [5, 4, 3, 2, 5, 6, 7, 8, 3, 5, 7, 7, 8, 3, 5]
# test 2
# before data is cleaned
list2 = [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
x2 = 10001
# after data is cleaned
list2 = [10001, 10001, 10001, 10001, 10001, 10001, 10001, 10001, 10001, 10001, 10001]
# test 3
# before data is cleaned
list3 = [857, 797, 972, 883, 0, 0, 0, 0, 0, 0, 0]
x3 = 1113
# after data is cleaned
list3 = [857, 797, 972, 883, 1113, 1113, 1113, 1113, 1113, 1113, 1113]
here is what I wrote for the clean data function:
def clean_data(lists, x):
for i in range(0, len(lists)):
if lists[i] == 0:
lists[i] = x
return lists
Then: Next step is
You are going to writing a script that takes in a list of names as a single input string
namestring = input("Enter baby names: ")
For example, the prompt with the input could look like this:
python3 main.py Enter baby names: Mary Megan Isabelle
Your code should produce the following plot [1]:
Plot should appear in your file tree with the filename: MaryMeganIsabelle.png.
Another example is if the prompt with the input is:
python3 main.py Enter baby names: Mario Marie Mary Marta
Your code should produce the following plot [2]:
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