PyHive provides a handy way to establish a SQLAlchemy compatible connection and works with Pandas dataframe for executing SQL and reading data via pandas.read_sql [https://pandas.pydata.org/docs/reference/api/pandas connection conn = hive.Connection(host=kyuubi_host,port=10009) # query the table to a new dataframe dataframe = pd.read_sql("SELECT id, name FROM test.example_table", conn) Authentication If password password='password', dbtable='testdb.some_table' )""") # read data to dataframe jdbcDF = spark.sql("SELECT * FROM kyuubi_table") # write data from dataframe in overwrite mode df.writeTo("kyuubi_table").overwrite #

PyHive provides a handy way to establish a SQLAlchemy compatible connection and works with Pandas dataframe for executing SQL and reading data via pandas.read_sql [https://pandas.pydata.org/docs/reference/api/pandas connection conn = hive.Connection(host=kyuubi_host,port=10009) # query the table to a new dataframe dataframe = pd.read_sql("SELECT id, name FROM test.example_table", conn) Authentication If password password='password', dbtable='testdb.some_table' )""") # read data to dataframe jdbcDF = spark.sql("SELECT * FROM kyuubi_table") # write data from dataframe in overwrite mode df.writeTo("kyuubi_table").overwrite #

PyHive provides a handy way to establish a SQLAlchemy compatible connection and works with Pandas dataframe for executing SQL and reading data via pandas.read_sql [https://pandas.pydata.org/docs/reference/api/pandas connection conn = hive.Connection(host=kyuubi_host,port=10009) # query the table to a new dataframe dataframe = pd.read_sql("SELECT id, name FROM test.example_table", conn) Authentication If password password='password', dbtable='testdb.some_table' )""") # read data to dataframe jdbcDF = spark.sql("SELECT * FROM kyuubi_table") # write data from dataframe in overwrite mode df.writeTo("kyuubi_table").overwrite #

PyHive provides a handy way to establish a SQLAlchemy compatible connection and works with Pandas dataframe for executing SQL and reading data via pandas.read_sql [https://pandas.pydata.org/docs/reference/api/pandas connection conn = hive.Connection(host=kyuubi_host,port=10009) # query the table to a new dataframe dataframe = pd.read_sql("SELECT id, name FROM test.example_table", conn) Authentication If password password='password', dbtable='testdb.some_table' )""") # read data to dataframe jdbcDF = spark.sql("SELECT * FROM kyuubi_table") # write data from dataframe in overwrite mode df.writeTo("kyuubi_table").overwrite #

PyWebIO Battery Interaction related Equivalent to “Press any key to continue” Output pandas dataframe Output Matplotlib figure Add new syntax highlight for code output Web application related Add continue” Output pandas dataframe See also pandas.DataFrame.to_html — pandas documentation [https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.to_html.html#pandas-dataframe-to-html] Output Matplotlib output.put_image(): actions(buttons=["Continue"]) import numpy as np import pandas as pd df = pd.DataFrame(np.random.randn(6, 4), columns=list("ABCD")) put_html(df.to_html(border=0)) The matplotlib.use('agg')

app=cutecharts] Cookbook Interaction related Equivalent to “Press any key to continue” Output pandas dataframe Output Matplotlib figure Blocking confirm model Input in the popup Redirect stdout to PyWebIO application continue” Output pandas dataframe See also pandas.DataFrame.to_html — pandas documentation [https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.to_html.html#pandas-dataframe-to-html] Output Matplotlib Matplotlib figure actions(buttons=["Continue"]) import numpy as np import pandas as pd df = pd.DataFrame(np.random.randn(6, 4), columns=list("ABCD")) put_html(df.to_html(border=0)) Simply do not call

PyWebIO Battery Interaction related Equivalent to “Press any key to continue” Output pandas dataframe Output Matplotlib figure Add new syntax highlight for code output Web application related Add continue” Output pandas dataframe See also pandas.DataFrame.to_html — pandas documentation [https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.to_html.html#pandas-dataframe-to-html] Output Matplotlib output.put_image(): actions(buttons=["Continue"]) import numpy as np import pandas as pd df = pd.DataFrame(np.random.randn(6, 4), columns=list("ABCD")) put_html(df.to_html(border=0)) The matplotlib.use('agg')

PyWebIO Battery Interaction related Equivalent to “Press any key to continue” Output pandas dataframe Output Matplotlib figure Add new syntax highlight for code output Web application related Add continue” Output pandas dataframe See also pandas.DataFrame.to_html — pandas documentation [https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.to_html.html#pandas-dataframe-to-html] Output Matplotlib output.put_image(): actions(buttons=["Continue"]) import numpy as np import pandas as pd df = pd.DataFrame(np.random.randn(6, 4), columns=list("ABCD")) put_html(df.to_html(border=0)) The matplotlib.use('agg')

PyWebIO Battery Interaction related Equivalent to “Press any key to continue” Output pandas dataframe Output Matplotlib figure Add new syntax highlight for code output Web application related Add continue” Output pandas dataframe See also pandas.DataFrame.to_html — pandas documentation [https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.to_html.html#pandas-dataframe-to-html] Output Matplotlib output.put_image(): actions(buttons=["Continue"]) import numpy as np import pandas as pd df = pd.DataFrame(np.random.randn(6, 4), columns=list("ABCD")) put_html(df.to_html(border=0)) The matplotlib.use('agg')

app=cutecharts] Cookbook Interaction related Equivalent to “Press any key to continue” Output pandas dataframe Output Matplotlib figure Blocking confirm model Input in the popup Redirect stdout to PyWebIO application continue” Output pandas dataframe See also pandas.DataFrame.to_html — pandas documentation [https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.to_html.html#pandas-dataframe-to-html] Output Matplotlib Matplotlib figure actions(buttons=["Continue"]) import numpy as np import pandas as pd df = pd.DataFrame(np.random.randn(6, 4), columns=list("ABCD")) put_html(df.to_html(border=0)) Simply do not call