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Allow matplotlib plot display in pyspark context #1422

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39 changes: 38 additions & 1 deletion spark/src/main/resources/python/zeppelin_pyspark.py
Original file line number Diff line number Diff line change
@@ -30,6 +30,13 @@
import ast
import traceback

import base64
from io import BytesIO
try:
from StringIO import StringIO
except ImportError:
from io import StringIO

# for back compatibility
from pyspark.sql import SQLContext, HiveContext, Row

@@ -51,13 +58,43 @@ class PyZeppelinContext(dict):
def __init__(self, zc):
self.z = zc

def show(self, obj):

def show(self, obj, **kwargs):
from pyspark.sql import DataFrame

if isinstance(obj, DataFrame):
print(gateway.jvm.org.apache.zeppelin.spark.ZeppelinContext.showDF(self.z, obj._jdf))
elif hasattr(obj, '__name__') and obj.__name__ == "matplotlib.pyplot":
self.show_matplotlib(obj, **kwargs)
elif hasattr(obj, '__call__'):
obj() #error reporting
else:
print(str(obj))

def show_matplotlib(self, p, fmt="png", width="auto", height="auto",
**kwargs):
"""Matplotlib show function
"""
if fmt == "png":
img = BytesIO()
p.savefig(img, format=fmt)
img_str = b"data:image/png;base64,"
img_str += base64.b64encode(img.getvalue().strip())
img_tag = "<img src={img} style='width={width};height:{height}'>"
# Decoding is necessary for Python 3 compability
img_str = img_str.decode("ascii")
img_str = img_tag.format(img=img_str, width=width, height=height)
elif fmt == "svg":
img = StringIO()
p.savefig(img, format=fmt)
img_str = img.getvalue()
else:
raise ValueError("fmt must be 'png' or 'svg'")

html = "%html <div style='width:{width};height:{height}'>{img}<div>"
print(html.format(width=width, height=height, img=img_str))
img.close()

# By implementing special methods it makes operating on it more Pythonic
def __setitem__(self, key, item):
self.z.put(key, item)