add top and Right spine to joint plot(regplot) in seaborn

Question

This is the current code I have

    sns.set_style("whitegrid",{'axes.spines.top': True, 'axes.spines.right': True,'axes.linewidth': 2, 'axes.edgecolor':'black'})
g = sns.JointGrid(x=station1,y=station2,data = df, xlim = xlim, ylim = ylim,space =1)
sns.set_style("whitegrid",{'axes.spines.top': True, 'axes.spines.right': True,'axes.linewidth': 2, 'axes.edgecolor':'black'})
g.plot_joint(sns.regplot, fit_reg = False, truncate = False, robust = False, label = 'regression', color  = 'darkorange',)
g.plot_marginals(sns.histplot, kde = True, color = 'darkorange')
# g.ax_joint.legend({'Pearson_R: %.4f'%r, 'x_axis mean:%.3f; std:%.3f'%(d1.df[par_x][idx_1].mean(),d1.df[par_x][idx_1].std()),'y_axis mean:%.3f; std:%.3f'%(d2.df[par_y][idx_2].mean(),d2.df[par_y][idx_2].std())})
# g.ax_joint.legend({'y = %.3f x + %.3f \nR^2: %.4f'%(popt[0],popt[1],r**2)})
g.ax_joint.legend({'$R^2$:%.4f'%(r**2)}, loc = 'upper right')
g.ax_joint.plot(np.linspace(xlim[0],xlim[1],100),linear(np.linspace(xlim[0],xlim[1],100),1,0), linewidth = 0.7, ls = '-.', color = 'black')

I am trying to add spines to Top and left of a joint grid plot in seaborn, However, the best I am able to do is

2 sided plot

is there a way to add a boarder to the top and Right side of the main plot and add right top and left of the sub plots? Thanks.