Using a KeyedVectors object, I can get the W2V vector, given a word, like so.
from gensim.models import KeyedVectors
model = KeyedVectors.load('vectors.kv')
model.get_vector('example') # output => [0.12, 0.41, ..., 0.92]
How can I do the same, for every term (key) contained in the model?
Note that this doesn't have to be a KeyedVectors object, it could alternatively be a Word2Vec object.
EDIT - thanks to gojomo:
vector_dct = {}
for word in kv_model.index2word:
vector_dct[word] = kv_model.get_vector(word)
df = pd.DataFrame(vector_dct).T
for word in kv_model.index_to_key: # was kv_model.index2word pre-gensim-4.0.0, when Q 1st asked
kv_model.get_vector(word)