Viz

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1. final def !=(arg0: Any): Boolean

   

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2. final def ##(): Int

   

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3. final def ==(arg0: Any): Boolean

   

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4. final def asInstanceOf[T0]: T0

   

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5. def clone(): AnyRef

   

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6. def data2html(column2data: Seq[(String, Seq[String])], title: String): String

   

   convert data to html, it will automatically convert image url to img tag in html

   convert data to html, it will automatically convert image url to img tag in html

   column2data

   the data, each element contains column name, and a list of string

7. def data2table(column2data: Seq[(String, Seq[String])], title: String): String

   

   convert data to the table part of html, it will automatically convert image url to img tag in html

   convert data to the table part of html, it will automatically convert image url to img tag in html

   column2data

   the data, each record contains column name, and a list of string

8. def dataframe2data(df: DataFrame, limitShowNumber: Int = 1): Seq[(String, Seq[String])]

   

9. def dataframe2html(df: DataFrame, title: String, limitShowNumber: Int = 1): String

   

   suppose df have A, B, C, D, order these five columns first step: we get four information then can generate html - the description of whole df - the value of columns.

   suppose df have A, B, C, D, order these five columns first step: we get four information then can generate html - the description of whole df - the value of columns. make it a sequence: Seq[String, Seq[String] = Seq(A -> Seq[....], B -> Seq[....], C -> Seq[....], D -> Seq[....]) if the seq value is image, we will handle it automatically and specially. - columnNames

   second step: using the four information got form step 1 to generate html

   title

   : the description of whole df

10. def dataframe2html2D(df: DataFrame, limitShowNumber: Int = 1): String

    
    df

    which need to contain column "row" to let us know which row you want to show. you should start with 1 in this column df also need to contain column "title" to let us know the title of each visualization row. you need to give the same title the all data you want to show in the same visualization row. or we will randomly choose one title.

11. final def eq(arg0: AnyRef): Boolean

    

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12. def equals(arg0: Any): Boolean

    

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13. def finalize(): Unit

    

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14. final def getClass(): Class[_]

    

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15. def hashCode(): Int

    

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16. def imgUrl2tag(url: String): String

    

17. def isImgUrl(s: String): Boolean

    

18. final def isInstanceOf[T0]: Boolean

    

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19. final def ne(arg0: AnyRef): Boolean

    

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20. final def notify(): Unit

    

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21. final def notifyAll(): Unit

    

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22. final def synchronized[T0](arg0: ⇒ T0): T0

    

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23. def toString(): String

    

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24. final def wait(): Unit

    

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25. final def wait(arg0: Long, arg1: Int): Unit

    

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26. final def wait(arg0: Long): Unit

    

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27. def warpBody(body: String): String