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Given the following text description, write Python code to implement the functionality described below step by step
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Description:
 Loading data from DashDB
You can load data from DashDB tables and views.
Prerequisites
Collect your database connection information
Step1:  Configure database connectivity
Customize this cell with your DashDB connection information.
Step2:  Load data from table
Load the table or view into a Spark DataFrame.
Step3:  Explore the loaded data using PixieDust
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Python Code:
import pixiedust
pixiedust.enableJobMonitor()
Explanation: Loading data from DashDB
You can load data from DashDB tables and views.
Prerequisites
Collect your database connection information: 
JDBC URL
user name
password 
source table or view name
<div class="alert alert-block alert-info">
If your DashDB service instance was provisioned in Bluemix you can find the connectivity information in the _Service Credentials_ tab or in the _Connect_ tab the dashDB web console.
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Import PixieDust and enable the Spark Job monitor
End of explanation
# @hidden_cell
# Enter your DashDB JDBC URL (e.g. 'jdbc:db2://dashdb-entry-yp-dal00-00.services.dal.bluemix.net:50000/BLUDB')
jdbcurl = 'jdbc:db2://...'
# Enter your DashDB user name (e.g. 'dash0815')
user = '...'
# Enter your DashDB password (e.g. 'myvoiceismypassword')
password = '...'
# Enter your source table or view name (e.g. 'mytable')
table = '...'
Explanation: Configure database connectivity
Customize this cell with your DashDB connection information.
End of explanation
# no changes are required to this cell
# obtain Spark SQL Context
sqlContext = SQLContext(sc)
# load data
props = {}
props['user'] = user
props['password'] = password
dashdb_data = sqlContext.read.jdbc(jdbcurl, table, properties=props)
Explanation: Load data from table
Load the table or view into a Spark DataFrame.
End of explanation
display(dashdb_data)
Explanation: Explore the loaded data using PixieDust
End of explanation
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