Wordcloud from Numpy Array in Python -


i'm having trouble generating wordcloud using numpy array column 1 = terms , column 2 = frequency.

given documentation on wordcloud available here: wordcloud documentation use .generate_from_frequencies need dictionary.

i've attempted in code below, results in:

typeerror: unsupported operand type(s) /: 'numpy.string_' , 'float'

does know how can overcome this? have been stuck on hours , pulling hair out haha.

from wordcloud import wordcloud, stopwords  # create array documents classifed "0" cluster best performing kmeans  cluster_1 = np.empty((0,4613)) cluster_1_fw = terms  n in range (0,737):      if euclidean_best[n] == 0:         cluster_1 = np.vstack([cluster_1,x[n,:]])  # sum frequencies of words in cluster cluster_1_f = np.sum(cluster_1,axis=0)  print(cluster_1_f.shape)  cluster_1_fw = np.vstack([cluster_1_fw,cluster_1_f]) cluster_1_fw = np.transpose(cluster_1_fw)  d = {} a, q in cluster_1_fw:     d[a] = q    print(cluster_1_fw.dtype)  print(np.max(cluster_1_f)) print(cluster_1_fw.shape) print(cluster_1_fw[0:5,:]) # create word cloud word-frequency table stored in cluster_1_fw wccluster1 = wordcloud(stopwords=stopwords,background_color='white', width=1200,                           height=1000).generate_from_frequencies(d) fig = plt.figure() plt.imshow(wccluster1) fig.show()

i fixed it, i'm happy, had change code below second part making string rather float:

d = {} a, q in cluster_1_fw:     d[a] = float(q)

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