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En100882pdfdownload


tag: En100882pdfdownloadimport {div} from ‘@klarna/svelte’ import {Button} from ‘@klarna/svelte/src/components/Button’ import {Row} from ‘@klarna/svelte/src/components/Row’ export default div` .pb-page–back-up-order { align-items: center; flex-direction: row; justify-content: flex-start; } .pb-page–back-up-order__item { border-radius: 10px; display: flex; flex-direction: row; padding: 8px 0; text-align: center; &:last-child { border-right: 1px solid ${colors.gray}; flex-grow: 1; } &__name { display: inline-block; width: 200px; } &__quantity { font-size: 10px; margin-bottom: 4px; } } ` Q: What is the “hidden” wrapper pyspark.sql.dataframe.DataFrame I am trying to understand DataFrames and Spark SQL. This is the example I was referring to # Create a DataFrame object from Spark SQL query df_spark = spark.createDataFrame( [(1, “a”), (2, “b”), (3, “c”)], [“id”, “data”]) This is my understanding of a DataFrame object: df_spark is a class in Python which has an __init__ method and it can be used as a stand alone object like this: >>> df_spark.show() +—-+—+ | id | | +—-+—+ | 1| a| | 2| b| | 3| c| +

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