Bug summary

Hi! matplotlib treats incorrectly floating figsize.

Code for reproduction

importmatplotlib.pyplotaspltfrommatplotlib.backends.backend_aggimportFigureCanvasAggasFigureCanvasimportnumpyasnpdpi=100h=1708w=2560height_inches=float(h)/dpiwidth_inches=float(w)/dpifig=plt.figure(figsize=(width_inches,height_inches),dpi=dpi)plt.axes([0,0,1,1])plt.axis("off")canvas=FigureCanvas(fig)extent= (0,2560,1708,0)plt.imshow(np.zeros((2560,1708,3)),extent=extent)canvas.draw()fig.clear()plt.close(fig)original_image=np.fromstring(canvas.tostring_rgb(),dtype="uint8").reshape(h,w,3)

Actual outcome

ValueError: cannot reshape array of size 13109760 into shape (1708,2560,3)

Expected outcome

array of size (1708,2560,3)

Additional information

Problem appears from rounding error in variable "height_inches" which results in wrong argument inline.
At this line width is equal to 1707.9999999999998 and int(1707.9999999999998)=1707 but not 1708 as expected

Operating system

Ubuntu 18.04.5 LTS (Bionic Beaver)

Matplotlib Version

3.3.4

Matplotlib Backend

agg

Python version

3.7.10

Jupyter version

No response

Installation

conda