how can i solve this issue

[pawan-deligence]

Performing PCA Transform.......
Traceback (most recent call last):
File "EmoDetect.py", line 114, in
Predict_Emotion(filename)
File "EmoDetect.py", line 63, in Predict_Emotion
pca_features=pca.transform(features)
File "/usr/local/lib/python2.7/dist-packages/sklearn/decomposition/base.py", line 128, in transform
X = check_array(X)
File "/usr/local/lib/python2.7/dist-packages/sklearn/utils/validation.py", line 410, in check_array
"if it contains a single sample.".format(array))
ValueError: Expected 2D array, got 1D array instead:
array=[ 1.01314577 1.0087923 5.41773198 ..., 0.88240298 4.17091737
1.19806876].
Reshape your data either using array.reshape(-1, 1) if your data has a single feature or array.reshape(1, -1) if it contains a single sample.

[andro-galexy]

reshape your feature vector to something like , [[ 1.01314577 1.0087923 5.41773198 ..., 0.88240298 4.17091737, 1.19806876]] instead of [ 1.01314577 1.0087923 5.41773198 ..., 0.88240298 4.17091737
1.19806876]

this can be done by reshaping the feature array:
pca_features=pca.transform(features)
pca_features = pca_features.reshape(1, -1)

[pawan-deligence]

In this program you can also used dataset?

[michael1874888]

It should add a line to reshape the feature, not pca_features (before it)
so it should be:

features= numpy.asarray(features)
features = features.reshape(1, -1)