I am doing the Airline Analysis project as listed in the title. Here is the link to the project.
I am trying to do task 5, where it asks about the relationship between coach price and various inflight features. After a bit of thinking (and some documentation reading to find that Seaborn changed the means of norming a histogram), I was able to produce histograms to answer that question in the form of this code (just in the case of the inflight meals, though I did the other two as well:
sns.histplot(flight.coach_price[flight.inflight_meal == 'Yes'], alpha = 0.5, color = 'green', stat = 'probability')
sns.histplot(flight.coach_price[flight.inflight_meal == 'No'], alpha = 0.5, color = 'red', stat = 'probability')
plt.show()
plt.clf()
However, looking at the hint for that task, it recommended using the hue parameter for sns.histplot(). I tried the following:
sns.histplot(flight.coach_price, hue = flight.inflight_meal, alpha = 0.5, color = 'green', stat = 'probability')
but it raised the error: “ValueError: The following variable cannot be assigned with wide-form data: hue”
I tried looking at the documentation for histplot to get some insight into how to use the hue parameter, but it did not prove helpful to me. Could someone here help?
I decided to move on to the rest of the tasks, and I got to task 7, which asks to look at the relationship between coach and first class flights across weekend or non-weekends. This is one where I would certainly need to use the hue parameter, and I wrote the following code:
sns.scatterplot(x = 'coach_price', y = 'firstclass_price', hue = 'weekend', data = flight)
but got the following error: “ValueError: not enough values to unpack (expected 2, got 1)”
I hadn’t googled the error before. Doing so now suggests a mismatch between the number of arguments expected and received. Which the only way I can interpret that it’s attempting to hue on the weekend column and there’s only 1 value in the column, but that’s simply not the case, which is why I’m at a loss.
As for the stat= probabilityparameter, that’s apparently how sns.histplot norms the data (equivalent to normed = True for plt.hist). Though having now changed my code to yours, it doesn’t seem to do anything when hue’ing, so I’ve removed it.
Thanks for the code though! I guess when hue’ing you need to put the full data set in the data parameter, and then specify what the x and hue are after that. Good to know.
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