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https://github.com/apache/zeppelin
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Make .help() method a single string literal
This commit is contained in:
Alexander Bezzubov
parent
e800fd7032
commit
15a35c8f61
1 changed files with 69 additions and 67 deletions
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@ -33,76 +33,78 @@ def intHandler(signum, frame): # Set the signal handler
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signal.signal(signal.SIGINT, intHandler)
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def help():
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print ('%html')
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print ('<h2>Python Interpreter help</h2>')
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print ('<h3>Python 2 & 3 compatibility</h3>')
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print ('<p>The interpreter is compatible with Python 2 & 3.<br/>')
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print ('To change Python version, ')
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print ('change in the interpreter configuration the python to the ')
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print ('desired version (example : python=/usr/bin/python3)</p>')
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print ('<h3>Python modules</h3>')
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print ('<p>The interpreter can use all modules already installed ')
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print ('(with pip, easy_install, etc)</p>')
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print ('<h3>Forms</h3>')
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print ('You must install py4j in order to use '
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'the form feature (pip install py4j)')
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print ('<h4>Input form</h4>')
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print ('<pre>print (z.input("f1","defaultValue"))</pre>')
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print ('<h4>Selection form</h4>')
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print ('<pre>print(z.select("f2", [("o1","1"), ("o2","2")],2))</pre>')
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print ('<h4>Checkbox form</h4>')
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print ('<pre> print("".join(z.checkbox("f3", [("o1","1"), '
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'("o2","2")],["1"])))</pre>')
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print ('<h3>Matplotlib graph</h3>')
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print ('<div>The interpreter can display matplotlib graph with ')
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print ('the function z.show()</div>')
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print ('<div> You need to already have matplotlib module installed ')
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print ('to use this functionality !</div><br/>')
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print ('''<pre>import matplotlib.pyplot as plt
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plt.figure()
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(.. ..)
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z.show(plt)
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plt.close()
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</pre>''')
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print ('<div><br/> z.show function can take optional parameters ')
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print ('to adapt graph width and height</div>')
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print ("<div><b>example </b>:")
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print ('''<pre>z.show(plt,width='50px')
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z.show(plt,height='150px') </pre></div>''')
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print ('<h3>Pandas DataFrame</h3>')
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print ('<div> You need to have Pandas module installed ')
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print ('to use this functionality (pip install pandas) !</div><br/>')
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print ("""
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<div>The interpreter can visualize Pandas DataFrame
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with the function z.show()
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<pre>
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import pandas as pd
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df = pd.read_csv("bank.csv", sep=";")
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z.show(df)
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</pre></div>
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""")
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print ('<h3>SQL over Pandas DataFrame</h3>')
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print ('<div> You need to have Pandas&Pandasql modules installed ')
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print ('to use this functionality (pip install pandas pandasql) !</div><br/>')
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print ("""
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<div>Python interpreter group includes %sql interpreter that can query
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Pandas DataFrames using SQL and visualize results using Zeppelin Table Display System
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print("""%html
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<h2>Python Interpreter help</h2>
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<pre>
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%python
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import pandas as pd
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df = pd.read_csv("bank.csv", sep=";")
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</pre>
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<br />
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<h3>Python 2 & 3 compatibility</h3>
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<p>The interpreter is compatible with Python 2 & 3.<br/>
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To change Python version,
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change in the interpreter configuration the python to the
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desired version (example : python=/usr/bin/python3)</p>
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<pre>
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%python.sql
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%sql
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SELECT * from df LIMIT 5
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</pre></div>
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""")
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<h3>Python modules</h3>
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<p>The interpreter can use all modules already installed
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(with pip, easy_install, etc)</p>
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<h3>Forms</h3>
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You must install py4j in order to use
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the form feature (pip install py4j)
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<h4>Input form</h4>
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<pre>print (z.input("f1","defaultValue"))</pre>
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<h4>Selection form</h4>
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<pre>print(z.select("f2", [("o1","1"), ("o2","2")],2))</pre>
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<h4>Checkbox form</h4>
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<pre> print("".join(z.checkbox("f3", [("o1","1"), ("o2","2")],["1"])))</pre>')
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<h3>Matplotlib graph</h3>
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<div>The interpreter can display matplotlib graph with
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the function z.show()</div>
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<div> You need to already have matplotlib module installed
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to use this functionality !</div><br/>
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<pre>import matplotlib.pyplot as plt
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plt.figure()
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(.. ..)
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z.show(plt)
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plt.close()
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</pre>
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<div><br/> z.show function can take optional parameters
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to adapt graph width and height</div>
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<div><b>example </b>:
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<pre>z.show(plt,width='50px
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z.show(plt,height='150px') </pre></div>
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<h3>Pandas DataFrame</h3>
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<div> You need to have Pandas module installed
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to use this functionality (pip install pandas) !</div><br/>
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<div>The interpreter can visualize Pandas DataFrame
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with the function z.show()
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<pre>
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import pandas as pd
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df = pd.read_csv("bank.csv", sep=";")
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z.show(df)
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</pre></div>
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<h3>SQL over Pandas DataFrame</h3>
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<div> You need to have Pandas&Pandasql modules installed
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to use this functionality (pip install pandas pandasql) !</div><br/>
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<div>Python interpreter group includes %sql interpreter that can query
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Pandas DataFrames using SQL and visualize results using Zeppelin Table Display System
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<pre>
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%python
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import pandas as pd
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df = pd.read_csv("bank.csv", sep=";")
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</pre>
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<br />
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<pre>
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%python.sql
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%sql
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SELECT * from df LIMIT 5
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</pre>
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</div>
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""")
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class PyZeppelinContext(object):
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