I'd like to plot a histogram graph in Jupyter notebook for a dataset where its minimum value is ~8e 01, max value 6e 07, mean ~8e 05, median ~1e 05, and mode ~2e 03. I'd also like to show the central tendency lines in the graph. This is my code:

plt.figure(figsize=(7,5))
sns.kdeplot(dataset, shade=True)
plt.vlines(x=np.mean(dataset), ymin=0, ymax=1, color='blue', linestyle='--')
plt.vlines(x=np.median(dataset), ymin=0, ymax=1, color='brown', linestyle='--')
plt.vlines(x=scp.mode(dataset)[0][0], ymin=0, ymax=1, color='red', linestyle='--')
plt.legend(['Dataset', 'Mean', 'Median', 'Mode'], fontsize=12)
plt.show()

However the resulting graph is:

I've searched online, but all the answers I found was either to add plt.show(), which I have done, and %matplotlib inline, which only applies to IPython notebook. I can't think of another reason why the graph isn't showing the data properly.

test dataset:

596819.4
642682.4
619509.33
649141.25
545800.05
572019.8
718330.48
830967.23
742220.67
656892.03
1005603.78
653560.14
657444.04
696281.81
709268.62
924993.61
823623.36
734721.29
783935.36
882754.72
821523.45
800603.23
772926.12
800194.34
850931.58

CodePudding user response：

• It's because ymax=1 is specified; the max of the y-axis for the kdeplot is 3e-06. The density curve is there, it just can't be seen because of the scale of the vlines.
  • 
    • As noted by @JohanC in a comment, using axvline sets ymin and ymax as a percent of the y-axis, so extracting max(p.get_yticks()) isn't necessary.

    p = sns.kdeplot(ds, shade=True, label='Dataset')
    p.axvline(x=np.mean(ds) , ymin=0, ymax=1, color='blue', linestyle='--', label='Mean')
    p.axvline(x=np.median(ds), ymin=0, ymax=1, color='brown', linestyle='--', label='Median')
    p.axvline(x=mode(ds)[0][0], ymin=0, ymax=1, color='red', linestyle='--', label='Mode')
    p.legend(fontsize=12)
    plt.show()