Author: Ajay Ohri

%pythondf=spark.sql(“select * from name_csv”)
display(df.select(“*”))

pandas_df = df.toPandas()

Creating SQL Table using Spark

%python
acc_1=spark.sql(“create table test_spark as select columns, column,columnc from table where to_date(ac_opn_dt) < ‘2012-07-01’ )”)

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Seems like many different types of time series curves that can be used for forecasting hospital resources across different countries

Use df.printSchema()