Hi, I'm getting trouble to plotting in pyspark There is a dataframe (col:"features", col:"predictions") which is result from kmeans.
And my goal is to plot the feature_vector(x,y) and predictions of kmeans_model. HERE ARE CODES AND RESULTS z.put("result", model.transform(norm_featured_2f)) //res~: Object = [norm_2f_features: vector] %pyspark import matplotlib matplotlib.use('Agg') import matplotlib.pyplot as plt; plt.rcdefaults() import numpy as np import StringIO def show(p): img = StringIO.StringIO() p.savefig(img, format='svg') img.seek(0) print "%html <div style='width:600px'>" + img.buf + "</div>" data = z["result"] x = [] y = [] for i in data[0]: x.append(i._1()) y.append(i._2()) //TypeError: 'JavaObject' object is not callable Anyone help Is there any sample codes, or notebook about this?