Data Ingestion CSV File in Azure Data Bricks
We have a CSV File and we need to create the Data frame with that CSV File , we can use the below python code to create a data frame from a CSV File
Python Code
Dataframe_df=spark.read \
.option("header" , True) \
.option("inferschema" , True) \
.csv("/FileStore/dataset/insurance.csv")
We have a CSV File and we need to create the Data frame with that CSV File , we can use the below python code to create a data frame from a CSV File
Python Code
type(Dataframe_df)
We have a CSV File and we need to create the Data frame with that CSV File , we can use the below python code to create a data frame from a CSV File
Python Code
display(Dataframe_df)
We have a CSV File and we need to create the Data frame with that CSV File , we can use the below python code to create a data frame from a CSV File
Python Code
Dataframe_df.show()
We have a CSV File and we need to create the Data frame with that CSV File , we can use the below python code to create a data frame from a CSV File
Python Code
Dataframe_df.printSchema()
We have a CSV File and we need to create the Data frame with that CSV File , we can use the below python code to create a data frame from a CSV File
Python Code
Dataframe_df.describe().show()
We have a CSV File and we need to create the Data frame with that CSV File , we can use the below python code to create a data frame from a CSV File
Python Code
Dataframe_df.createTempView("v_Dataframe_df")
We have a CSV File and we need to create the Data frame with that CSV File , we can use the below python code to create a data frame from a CSV File
Python Code
%sql
select * from v_Dataframe_df where sex like 'male'
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