python - Convert list of NDarrays to dataframe -

i'm trying convert list nd arrays dataframe in order isomap on it. doesn't convert. how convert in such can isomap on it?

#creation , filling of list samples*   samples = list()   in range(72):    img =misc.imread('datasets/aloi/32/32_r'+str(i*5)+'.png' )    samples.append(img)   ...   df = pd.dataframe(samples) #this doesn't work gives                              #valueerror: must pass 2-d input*   ...   iso = manifold.isomap(n_neighbors=4, n_components=3)   iso.fit(df) #the end goal of dataframe 

that obvious, isn't it? images 2d data, rows , columns. stacking them in list causes gain third dimension. dataframes nature 2d. hence error.

you have 2 possible fixes:

create panel.

wp = pd.panel.from_dict(zip(samples, [str(i*5) in range(72)])) 

stack arrays 1 on top of other, or side side:

# on top of another: df = pd.concat([pd.dataframe(sample) sample in samples], axis=0,                keys=[str(i*5) in range(72)])  # side side: df = pd.concat([pd.dataframe(sample) sample in samples], axis=1,                keys=[str(i*5) in range(72)])