在jupyter笔记本中显示图像网格 [英] displaying grid of images in jupyter notebook
问题描述
我有一个数据框,其中的一列包含495行URL.我想在jupyter笔记本中将这些URL显示为图像网格.此处显示数据帧的第一行.任何帮助表示赞赏.
I have a dataframe with a column containing 495 rows of URLs. I want to display these URLs in jupyter notebook as a grid of images. The first row of the dataframe is shown here. Any help is appreciated.
id latitude longitude owner title url
23969985288 37.721238 -123.071023 7679729@N07 There she blows! https://farm5.staticflickr.com/4491/2396998528...
我尝试了以下方法,
from IPython.core.display import display, HTML
for index, row in data1.iterrows():
display(HTML("<img src='%s'>"%(i["url"])))
但是,运行上述代码会显示消息
However, running of above code displays message
> TypeError Traceback (most recent call last)
<ipython-input-117-4c2081563c17> in <module>()
1 from IPython.core.display import display, HTML
2 for index, row in data1.iterrows():
----> 3 display(HTML("<img src='%s'>"%(i["url"])))
TypeError: string indices must be integers
推荐答案
在Jupyter笔记本中显示图像网格的最佳方法可能是使用matplotlib
创建网格,因为您也可以在imshow
的轴.
The best way to show a grid of images in the Jupyter notebook is probably using matplotlib
to create the grid, since you can also plot images on matplotlib
axes using imshow
.
我正在使用3x165网格,因为恰好是495.随意弄乱它以更改网格的尺寸.
I'm using a 3x165 grid, since that is 495 exactly. Feel free to mess around with that to change the dimensions of the grid.
import urllib
f, axarr = plt.subplots(3, 165)
curr_row = 0
for index, row in data1.iterrows():
# fetch the url as a file type object, then read the image
f = urllib.request.urlopen(row["url"])
a = plt.imread(f)
# find the column by taking the current index modulo 3
col = index % 3
# plot on relevant subplot
axarr[col,curr_row].imshow(a)
if col == 2:
# we have finished the current row, so increment row counter
curr_row += 1
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