在 Python 中使用 seaborn 一起绘制 distplot 和 boxplot 时修复倒置的 distplot

Question

My DataFrame is as below:-

spending    advance_payments    probability_of_full_payment     current_balance     credit_limit    min_payment_amt     max_spent_in_single_shopping
0   19.94   16.92   0.8752  6.675   3.763   3.252   6.550
1   15.99   14.89   0.9064  5.363   3.582   3.336   5.144
2   18.95   16.42   0.8829  6.248   3.755   3.368   6.148
3   10.83   12.96   0.8099  5.278   2.641   5.182   5.185
4   17.99   15.86   0.8992  5.890   3.694   2.068   5.837
...     ...     ...     ...     ...     ...     ...     ...
205     13.89   14.02   0.8880  5.439   3.199   3.986   4.738
206     16.77   15.62   0.8638  5.927   3.438   4.920   5.795
207     14.03   14.16   0.8796  5.438   3.201   1.717   5.001
208     16.12   15.00   0.9000  5.709   3.485   2.270   5.443
209     15.57   15.15   0.8527  5.920   3.231   2.640   5.879

Now I am trying to plot a boxplot on top of the displot using seaborn libraries. Distplot on its own works fine, however when I add boxplot on the same axis, the distplot gets inverted, not sure why that is happening. Can someone please help me fix this?

Below is my code:-

fig, axs = plt.subplots(3, 3,figsize=(10,10))
j=0
k=0
for i in df.columns:
    sns.distplot(df[i],ax=axs[j,k],color='blue')
    sns.boxplot(df[i],ax=axs[j,k],color='green',boxprops=dict(alpha=.5))
    plt.gca().invert_xaxis()
    k=k+1
    if k==3:
        k=0
        j=j+1
fig.tight_layout()
plt.show()

I have tried plt.gca().invert_xaxis() but that did not help.

Below is the output I am getting.

Answer 1

Adding different charts type on same figure is what causing you the problem, as seaborn does not handle them well. Instead, seaborn offer built-in plot options to combine different charts. In your case, you want to combine box plot with kernel estimate. Seaborn allows you to do that with violinplot .

It can yields something like that:

(taken from documentation that a linked above)

The format looks a bit different from what you tried to do, but essentially it shows same data: frequency with boxplot.

Code for your case:

fig, axs = plt.subplots(3, 3,figsize=(10,10))
j=0
k=0
for i in df.columns:
    sns.violinplot(df[i],ax=axs[j,k],cut=0)
    k=k+1
    if k==3:
        k=0
        j=j+1
fig.tight_layout()
plt.show()

I'm keep searching for a good reason why distplot is inverted when plotting together with boxplot. So far I couldn't find a good answer.