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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. def Point3DRDDFromFITS(spark: SparkSession, filename: String, hdu: Int, colnames: String, isSpherical: Boolean): RDD[Point3D]

   

   Construct a RDD[Point3D] from FITS data.

   Construct a RDD[Point3D] from FITS data.

   val fn = "src/test/resources/astro_obs.fits"
   val rdd = new Point3DRDDFromFITS(spark, fn, 1, "Z_COSMO,RA,Dec", true)

   spark

   : (SparkSession) The spark session

   filename

   : (String) File name where the data is stored

   hdu

   : (Int) HDU to load.

   colnames

   : (String) Comma-separated names of (x, y, z) columns. Example: "Z_COSMO,RA,Dec".

   isSpherical

   : (Boolean) If true, it assumes that the coordinates of the Point3D are (r, theta, phi). Otherwise, it assumes cartesian coordinates (x, y, z). Default is false.

   returns

   (RDD[Point3D])

5. def Point3DRDDFromText(spark: SparkSession, filename: String, colnames: String, isSpherical: Boolean): RDD[Point3D]

   

   Construct a RDD[Point3D] from CSV, JSON or TXT data.

   Construct a RDD[Point3D] from CSV, JSON or TXT data.

   // CSV
   val fn = "src/test/resources/astro_obs.csv"
   val rdd = new Point3DRDD(spark, fn, "Z_COSMO,RA,Dec", true)
   // JSON
   val fn = "src/test/resources/astro_obs.json"
   val rdd = new Point3DRDD(spark, fn, "Z_COSMO,RA,Dec", true)
   // TXT
   val fn = "src/test/resources/astro_obs.txt"
   val rdd = new Point3DRDD(spark, fn, "Z_COSMO,RA,Dec", true)

   spark

   : (SparkSession) The spark session

   filename

   : (String) File name where the data is stored. Extension must be explicitly written (.cvs, .json, or .txt)

   colnames

   : (String) Comma-separated names of (x, y, z) columns. Example: "Z_COSMO,RA,Dec".

   isSpherical

   : (Boolean) If true, it assumes that the coordinates of the Point3D are (r, theta, phi). Otherwise, it assumes cartesian coordinates (x, y, z).

   returns

   (RDD[Point3D])

6. def SphereRDDFromFITS(spark: SparkSession, filename: String, hdu: Int, colnames: String, isSpherical: Boolean = false): RDD[ShellEnvelope]

   

   Construct a RDD[ShellEnvelope] from FITS data.

   Construct a RDD[ShellEnvelope] from FITS data.

   val fn = "src/test/resources/cartesian_spheres.fits"
   val sphereRDD = new SphereRDD(spark, fn, 1, "x,y,z,radius", false)

   spark

   : (SparkSession) The spark session

   filename

   : (String) File name where the data is stored

   hdu

   : (Int) HDU to load.

   colnames

   : (String) Comma-separated names of (x, y, z, r) columns to read. Example: "Z_COSMO,RA,Dec,Radius".

   isSpherical

   : (Boolean) If true, it assumes that the coordinates of the center of the ShellEnvelope are (r, theta, phi). Otherwise, it assumes cartesian coordinates (x, y, z). Default is false.

   returns

   (RDD[ShellEnvelope)

7. def SphereRDDFromText(spark: SparkSession, filename: String, colnames: String, isSpherical: Boolean = false): RDD[ShellEnvelope]

   

   Construct a RDD[ShellEnvelope] from CSV, JSON or TXT data.

   Construct a RDD[ShellEnvelope] from CSV, JSON or TXT data.

   // CSV
   val fn = "src/test/resources/cartesian_spheres.csv"
   val rdd = new SphereRDD(spark, fn, "x,y,z,radius", false)
   // JSON
   val fn = "src/test/resources/cartesian_spheres.json"
   val rdd = new SphereRDD(spark, fn, "x,y,z,radius", false)
   // TXT
   val fn = "src/test/resources/cartesian_spheres.txt"
   val rdd = new SphereRDD(spark, fn, "x,y,z,radius", false)

   spark

   : (SparkSession) The spark session

   filename

   : (String) File name where the data is stored. Extension must be explicitly written (.cvs, .json, or .txt)

   colnames

   : (String) Comma-separated names of (x, y, z, r) columns to read. Example: "Z_COSMO,RA,Dec,Radius".

   isSpherical

   : (Boolean) If true, it assumes that the coordinates of the center of the ShellEnvelope are (r, theta, phi). Otherwise, it assumes cartesian coordinates (x, y, z). Default is false.

   returns

   (RDD[ShellEnvelope])

8. final def asInstanceOf[T0]: T0

   

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9. def clone(): AnyRef

   

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

    

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11. def equals(arg0: Any): Boolean

    

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12. def finalize(): Unit

    

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

    

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14. def hashCode(): Int

    

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15. final def isInstanceOf[T0]: Boolean

    

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

    

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17. final def notify(): Unit

    

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18. final def notifyAll(): Unit

    

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

    

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20. def toString(): String

    

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21. final def wait(): Unit

    

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

    

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

    

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