常见植物100种,图文并茂-20210412122957.docxVIP

importmatplotlib.pyplotasplt

importnumpyasnp

模拟100种植物的名称和图片

plant_names=[f植物{i+1}foriinrange(100)]

plant_images=[plt.imread(fplant_image_{i+1}.jpg)foriinrange(100)]

创建一个图形，每个植物占据一个小格子

fig,axs=plt.subplots(10,10,figsize=(20,20))

遍历每个植物，填充图形

fori,axinenumerate(axs.flat):

ax.imshow(plant_images[i])

ax.set_(plant_names[i])

ax.axis(off)

plt.tight_layout()

plt.show()

FileNotFoundErrorTraceback(mostrecentcalllast)

CellIn[1],line6

4模拟100种植物的名称和图片

5plant_names=[f植物{i+1}foriinrange(100)]

6plant_images=[plt.imread(fplant_image_{i+1}.jpg)foriinrange(100)]

8创建一个图形，每个植物占据一个小格子

9fig,axs=plt.subplots(10,10,figsize=(20,20))

4模拟100种植物的名称和图片

5plant_names=[f植物{i+1}foriinrange(100)]

6plant_images=[plt.imread(fplant_image_{i+1}.jpg)foriinrange(100)]

8创建一个图形，每个植物占据一个小格子

9fig,axs=plt.subplots(10,10,figsize=(20,20))

File/usr/local/lib/3.10/sitepackages/matplotlib/pyplot.py:2389,inimread(fname,format)

2385_copy_docstring_and_deprecators(matplotlib.image.imread)

23defimread(

2387fname:str|pathlib.Path|BinaryIO,format:str|None=None

2388)np.ndarray:

2389returnmatplotlib.image.imread(fname,format)

File/usr/local/lib/3.10/sitepackages/matplotlib/image.py:1525,inimread(fname,format)

1518ifisinstance(fname,str)andlen(parse.parse(fname).scheme)1:

1519PillowdoesnthandleURLsdirectly.

1520raiseValueError(

1521PleaseopentheURLforreadingandpassthe

1522resulttoPillow,e.g.with

1523``np.array(PIL.Image.open(lib.request.open()))``.

1524)

1525withimg_open(fname)asimage:

1526return(_pil_png_to_float_array(image)

1527ifisinstance(image,PIL.PngImagePlugin.PngImageFile)else

1528pil_to_array(image))

File/usr/local/lib/3.10/sitepackages/PIL/Image.py:3243,i