如何解决问题以重塑从 Python 中的 x_train 派生的图像中的过程？

Question

I found a dataset from Kaggle Here is the link: https://www.kaggle.com/quangqiyana/human-gender-identity

I want to implement CNN algorithm into dataset.

I wrote some codes to get X_train and Y_train

train = pd.read_csv("files/gender.csv")
train.shape -> (230, 67502)
train.drop('Unnamed: 0', axis=1, inplace=True)
Y_train = train["Label"]
X_train = train.drop(labels = ["Label"],axis = 1) 

Then I want to show some images by iloc process

img = X_train.iloc[0].to_numpy()
img = np.pad(img, (0, (67600-img.shape[0])), 'constant').reshape((260, 260))
plt.imshow(img)
plt.title(train.iloc[0,0])
plt.axis("off")
plt.show()

Because any number is not a square of 67502 , I can use pad . But the image couldn't show with resolution.

Here is the screenshot.

How can I fix the reshape issue?

Answer 1

This dataset is likely not intended to be used with CNN, because the data encoded into the columns has no spatial relation to each other, like in images. Considering that this dataset was downloaded 1 (one) time, probably by you, and nobody has created any notebooks or deemed it worth a discussion, I'd recommend to move to another dataset, which has other people working on it, so you can ask questions there (on Kaggle) and get help.