I am trying to create a seaborn Facetgrid to plot the normality distribution of all columns in my dataFrame decathlon. The data looks as such:
P100m Plj Psp Phj P400m P110h Ppv Pdt Pjt P1500
0 938 1061 773 859 896 911 880 732 757 752
1 839 975 870 749 887 878 880 823 863 741
2 814 866 841 887 921 939 819 778 884 691
3 872 898 789 878 848 879 790 790 861 804
4 892 913 742 803 816 869 1004 789 854 699
... ... ... ... ... ... ... ... ... ...
7963 755 760 604 714 812 794 482 571 539 780
7964 830 845 524 767 786 783 601 573 562 535
7965 819 804 653 840 791 699 659 461 448 632
7966 804 720 539 758 830 782 731 487 425 729
7967 687 809 692 714 565 741 804 527 738 523
I am relatively new to python and I can't understand my error. My attempt to format the data and create the grid is as such:
import seaborn as sns
df_stacked = decathlon.stack().reset_index(1).rename({'level_1': 'column', 0: 'values'}, axis=1)
g = sns.FacetGrid(df_stacked, row = 'column')
g = g.map(plt.hist, "values")
However I recieve the following error:
ValueError: Axes instance argument was not found in a figure
Can anyone explain what exactly this error means and how I would go about fixing it?
EDIT
df_stacked
looks as such:
column values
0 P100m 938
0 Plj 1061
0 Psp 773
0 Phj 859
0 P400m 896
... ...
7967 P110h 741
7967 Ppv 804
7967 Pdt 527
7967 Pjt 738
7967 P1500 523
I encountered this similar issue when running a Jupyter Notebook.
My solution involved:
Restart the notebook
Re-run the imports %matplotlib inline; import matplotlib.pyplot as plt
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