ValueError: Could not interpret value `female_height` for parameter `x` when trying to plot certain rows

Question

I have a big dataframe that consists of male and female shoe sizes. I am currently trying to plot size versus height for male and female separately. I have tried to slice the data and stored it in different variables, however I get an error when I try to plot it.

Here I tried to obrain rows that are only female height and shoe size

female_height = df.loc[(df[1] == 'F'), 3]
female_size = df.loc[(df[1] == 'F'), 2]

Here I tried to obrain rows that are only female height and shoe size

male_height = df.loc[(df[1] == 'M'), 3]
male_size = df.loc[(df[1] == 'M'), 2]

when I try to do the first plot only for female size and height I get this error:

sns.scatterplot(x='female_height', y='female_size', data=df)
plt.show()

I tested the columns and it displays exactly what I need, so what is causing this error?

Answer 1

The code sns.scatterplot(x='female_height', y='female_size', data=df) is saying to plot the female_height and female_size columns of the dataframe df. But you have created separate variables called female_height and female_size, not created them as columns in your dataframe. If you plot these variables using sns.scatterplot(x=female_height, y=female_size) it should work.