Issue
I have a problem about reshaping dataframe for implementing CNN.
My dataframe shape : train.shape
-> (230, 67502).
Then I wrote a code shown below.
Y_train = train["Label"]
X_train = train.drop(labels = ["Label"],axis = 1)
When I run this code below for plotting some images by iloc
, It throws an error
img = X_train.iloc[0].to_numpy()
img = np.pad(img, (0, (67600-img.shape[0])), 'constant').reshape((260, 260))
plt.imshow(img,cmap='gray')
plt.title(train.iloc[0,0])
plt.axis("off")
plt.show()
Then I normalize X_train
X_train = X_train / 255.0
print("x_train shape: ",X_train.shape)
When I reshape X_train , it throws an error
X_train = X_train.values.reshape(-1, 260, 260)
print("x_train shape: ",X_train.shape)
ValueError: cannot reshape array of size 15525000 into shape (260,260)
How can I fix the issue?
Solution
Solution :
X_train = np.pad(X_train, ((0,0), (0, (67600-X_train.shape[1]))), 'constant').reshape(-1, 260, 260)
Answered By - Tony Brand
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