from collections import Counter
def extractFeatures(model, k_features, fscore = None):
    '''
    :params: model: Trained XGBoost Model
    :params: k_features: Numbers of features to extract
    :params: fscore: threshhold score to extract features
    :Return: list of features from model
    '''
    features = Counter(model.get_booster().get_score())
    features = features.most_common(k_features)
    features = [x[0] for x in features if x[1] >= fscore]
    return features

features = extractFeatures(xgbmodel, 10, 20)