Roller Coaster Challenge Project (Python, Pandas)

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Can you provide solutions to the last part of the challenge:
What roller coaster seating type is most popular?
And do different seating types result in higher/faster/longer roller coasters?

Do roller coaster manufacturers have any specialties
(do they focus on speed, height, seating type, or inversions)?

Do amusement parks have any specialties?

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import pandas as pd
import matplotlib.pyplot as plt

steel = pd.read_csv(‘Golden_Ticket_Award_Winners_Steel.csv’)
wood = pd.read_csv(‘Golden_Ticket_Award_Winners_Wood.csv’)

#print(wood[wood[‘Name’] == ‘Boulder Dash’])

Write a function to plot rankings over time for 1 roller coaster here:

def rank_year (name, park):
dfwood = wood[(wood[‘Name’] == name) & (wood[‘Park’] == park)]
plt.plot(dfwood[‘Year of Rank’], dfwood[‘Rank’],)
plt.ylabel(‘Rank’)
plt.xlabel(‘Year’)
plt.legend([name], loc = 1)
plt.show()

#print(rank_year(‘El Toro’, ‘Six Flags Great Adventure’))

Write a function to plot rankings over time for 2 roller coasters here:

def rank_year2 (name1, name2, park1, park2):
dfwood1 = wood[(wood[‘Name’] == name1) & (wood[‘Park’] == park1)]
dfwood2 = wood[(wood[‘Name’] == name2) & (wood[‘Park’] == park2)]
ay= plt.subplot()
plt.plot(dfwood1[‘Year of Rank’], dfwood1[‘Rank’])
plt.plot(dfwood2[‘Year of Rank’], dfwood2[‘Rank’])
plt.ylabel(‘Rank’)
plt.xlabel(‘Year’)
plt.legend([name1, name2], loc = 1)
ay.set_yticks([1, 2, 3, 4])
plt.show()

#print(rank_year2(‘El Toro’, ‘Boulder Dash’, ‘Six Flags Great Adventure’, ‘Lake Compounce’))

Write a function to plot top n rankings over time here:

def top_ranking(df,n):

top = df[df[‘Rank’] <= n]
fig, ax = plt.subplots(figsize=(10,10))
for coaster in set(top[‘Name’]):
coaster_rankings = top[top[‘Name’] == coaster]
ax.plot(coaster_rankings[‘Year of Rank’],coaster_rankings[‘Rank’],label=coaster)
ax.set_yticks([i for i in range(1,6)])

plt.title(“Top 10 Rankings”)
plt.xlabel(‘Year’)
plt.ylabel(‘Ranking’)
plt.legend(loc=4)
plt.show()

#print(top_ranked(5, wood))

Load roller coaster data here:

coasters = pd.read_csv(‘roller_coasters.csv’)
#print(coasters.info())

Write a function to plot histogram of column values here:

def hist_roller(df, column):
plt.hist(df[column])
legend = [column]
plt.legend(legend)
plt.xlabel(column)
plt.ylabel(‘Number of Roller Coasters’)
plt.show()
#print(hist_roller(coasters, ‘speed’))

Write a function to plot inversions by coaster at a park here:

def bar_park(df, park):
park_df = df[df[‘park’] == park]
roller_coaster = park_df[‘name’]
inversions = park_df[‘num_inversions’]
plt.figure(figsize = (20, 15))
ax = plt.subplot()
ay = plt.subplot()
plt.bar(range(len(roller_coaster)), inversions)
ax.set_xticks(range(len(roller_coaster)))
ax.set_xticklabels(roller_coaster)
plt.xticks(rotation=45)
plt.legend([park])
plt.show()

#print(bar_park(coasters, ‘Walibi Belgium’))

Write a function to plot pie chart of operating status here:

def pie(coasters):
df_operating = coasters[coasters[‘status’] == ‘status.operating’]
df_closed = coasters[coasters[‘status’] == ‘status.closed.definitely’]
count = [len(df_operating), len(df_closed)]
labelsdata = [‘Operating’, ‘Closed’]
plt.pie(count, autopct=’%0.1f%%’, labels = labelsdata)
plt.axis(‘equal’)
plt.show()

#print(pie(coasters))

Write a function to create scatter plot of any two numeric columns here:

def scatter(df, column1, column2):
c1 = df[column1]
c2 = df[column2]
x = range(len(df))
plt.figure(figsize=(20, 20))
ax = plt.subplot()
plt.scatter(x, c1, color= ‘blue’, alpha= 0.5)
plt.scatter(x, c2, color=‘green’, alpha=0.5)
ax.set_xlabel(‘Variables’)
ax.set_ylabel(‘Roller Coasters’)
plt.ylim(0, 200)
plt.legend([column1, column2])
plt.show()

#print(scatter(coasters, ‘speed’, ‘height’))

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Finally finished my first project in Codecademy!

Here is my solution:

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5

Hello, this particular project has given me a headache. Just used your code to understand whats happening.

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This is my solution for the Roller Coaster project. I did try to answer the extra questions.
(This is my first time trying GitHub, so bear with me. )
Roller Coaster Project

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here is my code, I used Jupyter notebooks (open the link )

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I like that you put it in a Jupyter Notebook so that we could see the graphs. I cannot figure out a way to show the graphs in GitHub.

Anyhow, what is this maddening warning?
“C:\ProgramData\Anaconda3\lib\site-packages\ipykernel_launcher.py:3: MatplotlibDeprecationWarning: Adding an axes using the same arguments as a previous axes currently reuses the earlier instance. In a future version, a new instance will always be created and returned. Meanwhile, this warning can be suppressed, and the future behavior ensured, by passing a unique label to each axes instance.”
I kept getting it in my output too! I finally found that moving the calls to subplot above calls to plot helped. Also calling plt.clf() at the end of every function. I do not understand why this keeps the warning at bay. It was driving me crazy!

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Hello,
You can see the github repository where it says “show original” anyways, here is the link.
Regarding the warning: you can see the explanation here.
hope it helps!

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Here’s my solution:

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hello i run your code and it gives me the following error
max must be larger than min in range parameter.

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Hi Everyone,

I don’t quiet understand the the syntax for " function to plot top n rankings over time" below

for coaster in set(top_n_rankings[‘Name’]):
coaster_rankings = top_n_rankings[top_n_rankings[‘Name’] == coaster]
ax.plot(coaster_rankings[‘Year of Rank’],coaster_rankings[‘Rank’],label=coaster)

Why do we use SET here? or what’s the structure of the syntax whenever I use ‘SET’

Regards

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I am receiving a NameError: coaster_rankings not defined. why?

this my code:
def plot_ranking_two(coaster_name1,coaster_name2,park_name1,park_name2,df_ranking):
coaster_rankings1= df_ranking[(df_ranking[‘Name’] ==coaster_name1) & (df_ranking[‘Park’]==park_name1)]
coaster_rankings2 = df_ranking[ (df_ranking[‘Name’] == coaster_name2) & (df_ranking[‘Park’] == park_name2) ]
fig,ax = plt.subplots()
ax.plot(coaster_rankings1[‘Year of Rank’],coaster_rankings1[‘Rank’],color=‘green’,label=coaster_name1)
ax.plot(coaster_rankings2[‘Year of Rank’],coaster_rankings2[‘Rank’],color=‘red’,label=coaster_name2)
ax.invert_yaxis()
plt.title("{} vs {} Rankings".format(coaster_name1,coaster_name2))
plt.xlabel(“Year”)
plt.ylabel(“Ranking”)
plt.show()
plot_ranking_two(‘El Toro’,‘Six Flags Great Adventure’,‘Boulder Dash’,‘Lake Compounce’,wood)

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Hello! Here is my solution. Cheers!

1 Like
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Here is my solution!
Cheers!

Note: I didn’t do the answers part.

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My understanding is the set() command transforms the data into a list in which you can more easily manipulate in your function as opposed to a Dataframe column. I think the list() command achieves the same purpose.

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Hi all, code below. I also answered 1 out of the 3 bonus questions at step 11. Have not compared my code to the sample code yet, but I think the functions are work properly.

Thanks.

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I made it in Jupyter Notebook - for me it’s most comfy for data science projects.

ranks

Roller Coaster

https://github.com/Goananda/Codecademy-project-Roller-Coaster/blob/master/Roller%20Coaster.ipynb

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There is a defect in decision for point 5, where we should write a function that will plot the ranking of the top n ranked roller coasters over time as lines.
If there are two roller coasters with the same name, but different park in top n rankings - function counts them as same roller coasters. In general, we should give them different names, before count. But it’s much more harder to do than in points 3 and 4…

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I agree.

In addition, I found that the base needs cleaning before analisys: there are some differences in the spelling of the names of coasters and parks, for example:
‘Intimidator-305’ / ‘Intimidator 305’, ‘Beast’ / ‘The Beast’.

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