Dear Team , I am getting this error when I try to plot the scatter plot as you did in the lecture , what do I am missing here ? plt.scatter(x1,y,color='C0') plt.xlabel('SAT',fontsize=20) plt.ylabel('Admitted',fontsize=20) plt.show() --------------------------------------------------------------------------- ValueError Traceback (most recent call last) /var/folders/2r/8pcly7hx4t7fzdk8_jmmp3800000gn/T/ipykernel_2715/1683522301.py in <module> ----> 1 plt.scatter(x1,y,color='C0') 2 plt.xlabel('SAT',fontsize=20) 3 plt.ylabel('Admitted',fontsize=20) 4 plt.show() ~/opt/anaconda3/lib/python3.9/site-packages/matplotlib/pyplot.py in scatter(x, y, s, c, marker, cmap, norm, vmin, vmax, alpha, linewidths, edgecolors, plotnonfinite, data, **kwargs) 2817 vmin=None, vmax=None, alpha=None, linewidths=None, *, 2818 edgecolors=None, plotnonfinite=False, data=None, **kwargs): -> 2819 __ret = gca().scatter( 2820 x, y, s=s, c=c, marker=marker, cmap=cmap, norm=norm, 2821 vmin=vmin, vmax=vmax, alpha=alpha, linewidths=linewidths, ~/opt/anaconda3/lib/python3.9/site-packages/matplotlib/__init__.py in inner(ax, data, *args, **kwargs) 1410 def inner(ax, *args, data=None, **kwargs): 1411 if data is None: -> 1412 return func(ax, *map(sanitize_sequence, args), **kwargs) 1413 1414 bound = new_sig.bind(ax, *args, **kwargs) ~/opt/anaconda3/lib/python3.9/site-packages/matplotlib/axes/_axes.py in scatter(self, x, y, s, c, marker, cmap, norm, vmin, vmax, alpha, linewidths, edgecolors, plotnonfinite, **kwargs) 4360 y = np.ma.ravel(y) 4361 if x.size != y.size: -> 4362 raise ValueError("x and y must be the same size") 4363 4364 if s is None: ValueError: x and y must be the same size

Hey Mohamed, Thank you for reaching out! It seems that the variables x1 and y in your code are of different sizes. It's important that the length of both arrays is the same, so that each value in x1 is mapped onto a corresponding value in y. Go through your code and try to find why this discrepancy occurs. Kind regards, 365 Hristina

Hey Hristina, Thanks a lot for your feedback which was helpful. Best regards, Mohamed

Here is what I have done to display the bar plot: numbers = range(1,len(x)+1)plt.bar(numbers, y, tick_label=x) bar expects the x position as the first argument