e... then this sounds like a feature requirement for matplotlib, you need to make matplotlib's APIs support RDD or spark DataFrame object, i checked the API of mplot3d (http://matplotlib.org/mpl_toolkits/mplot3d/tutorial.html#mpl_toolkits.mplot3d.Axes3D.scatter), it only supports "array-like" input data.
so yes, to use matplotlib, you need to take the elements out of RDD, and send them to plot API as list object. 2016-03-23 12:20 GMT+01:00 Yavuz Nuzumlalı <manuya...@gmail.com>: > Thanks for help, but the example that you referenced gets the values from > RDD as list and plots that list. > > What I am specifically asking was that is there a convenient way to plot a > DataFrame object directly?(like pandas DataFrame objects) > > > On Wed, Mar 23, 2016 at 11:47 AM Teng Qiu <teng...@gmail.com> wrote: >> >> not sure about 3d plot, but there is a nice example: >> >> https://github.com/zalando/spark-appliance/blob/master/examples/notebooks/PySpark_sklearn_matplotlib.ipynb >> >> for plotting rdd or dataframe using matplotlib. >> >> Am Mittwoch, 23. März 2016 schrieb Yavuz Nuzumlalı : >> > Hi all, >> > I'm trying to plot the result of a simple PCA operation, but couldn't >> > find a clear documentation about plotting data frames. >> > Here is the output of my data frame: >> > +----------------------------------------------------------------+ >> > |pca_features | >> > +----------------------------------------------------------------+ >> > |[-255.4681508918886,2.9340031372956155,-0.5357914079267039] | >> > |[-477.03566189308367,-6.170290817861212,-5.280827588464785] | >> > |[-163.13388125540507,-4.571443623272966,-1.2349427928939671] | >> > |[-53.721252166903255,0.6162589419996329,-0.39569546286098245] | >> > [-27.97717473880869,0.30883567826481106,-0.11159555340377557] | >> > |[-118.27508063853554,1.3484584740407748,-0.8088790388907207] | >> > Values of `pca_features` column is DenseVector s created using >> > VectorAssembler. >> > How can I draw a simple 3d scatter plot from this data frame? >> > Thanks --------------------------------------------------------------------- To unsubscribe, e-mail: user-unsubscr...@spark.apache.org For additional commands, e-mail: user-h...@spark.apache.org
