olu*_*ies 12 python apache-spark pyspark apache-zeppelin
如果我有一个带有DataFrame的Scala段落,我可以与python共享和使用它.(据我所知,pyspark使用py4j)
我试过这个:
斯卡拉段落:
x.printSchema
z.put("xtable", x )
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Python段落:
%pyspark
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
the_data = z.get("xtable")
print the_data
sns.set()
g = sns.PairGrid(data=the_data,
x_vars=dependent_var,
y_vars=sensor_measure_columns_names + operational_settings_columns_names,
hue="UnitNumber", size=3, aspect=2.5)
g = g.map(plt.plot, alpha=0.5)
g = g.set(xlim=(300,0))
g = g.add_legend()
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错误:
Traceback (most recent call last):
File "/tmp/zeppelin_pyspark.py", line 222, in <module>
eval(compiledCode)
File "<string>", line 15, in <module>
File "/usr/local/lib/python2.7/dist-packages/seaborn/axisgrid.py", line 1223, in __init__
hue_names = utils.categorical_order(data[hue], hue_order)
TypeError: 'JavaObject' object has no attribute '__getitem__'
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解:
%pyspark
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
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>"
df = sqlContext.table("fd").select()
df.printSchema
pdf = df.toPandas()
g = sns.pairplot(data=pdf,
x_vars=["setting1","setting2"],
y_vars=["s4", "s3",
"s9", "s8",
"s13", "s6"],
hue="id", aspect=2)
show(g)
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zer*_*323 22
您可以DataFrame在Scala中注册为临时表:
// registerTempTable in Spark 1.x
df.createTempView("df")
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并在Python中阅读SQLContext.table:
df = sqlContext.table("df")
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如果你真的想使用put/ get你将DataFrame从头开始构建Python :
z.put("df", df: org.apache.spark.sql.DataFrame)
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from pyspark.sql import DataFrame
df = DataFrame(z.get("df"), sqlContext)
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要绘制matplotlib你将DataFrame使用collect或转换为本地Python对象toPandas:
pdf = df.toPandas()
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请注意,它会将数据提取给驱动程序.
另见Zeppelin将Spark DataFrame从Python移动到Scala
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