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Capolona

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Coordenadas: 43° 34' N 11° 51' E Capolona      Comuna    Capolona Localização de Capolona na Itália Coordenadas 43° 34' N 11° 51' E Região Toscana Província Arezzo Área  - Total 47 56 km² Altitude 263 m População  - Total 5 437 (31-5-2 017)     • Densidade 114,32 hab./km² Outros dados Comunas limítrofes Arezzo, Castel Focognano, Castiglion Fibocchi, Subbiano, Talla Código ISTAT 051006 Código cadastral B670 Código postal 52010 Prefixo telefônico 0575 Sítio www.comune.capolona.ar.it Capolona é uma comuna italiana da região da Toscana, província de Arezzo, com cerca de 4 802 habitantes. Estende-se por uma área de 47 km², tendo uma densidade populacional de 102 hab/km². Faz fronteira com Arezzo, Castel Focognano, Castiglion Fibocchi, Subbiano, Talla. [ 1 ] [ 2 ] [ 3 ] Demografia | Variação demográfica do município entre 1861 e...

svg-pan-zoom wrong pan after zooming out

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0 It is a great library. It works well. Thank you Bumbu Alex and Anders Riutta and all the contributors. Well I got stuck. I have tried a lot. I guess the answer is nearby. When I zoomIn by wheel or pinch (no matter) it zooms well in and out. When I reach zoom back by 1 it stays in place. But when I ZoomIn 2 times (for example) Move my mouse cursor away (1 inch for example) ZoomOut all the way and my elements are all off. So nothing centered anymore. It is applied a pan. Half elements are got cut off of the viewport. So it is not a bad. I guess I use it wrong. I have tried thousand times to resize it back but nothing works for me. I appreciate any help. Thank you. svg zoom pan svgpanzoom share |...

Count number of true and false condition in spark data frame

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0 I am coming from a MATLAB background, and I can simply do this age_sum_error = sum(age > prediction - 4 & age < prediction + 4); This will count the number of age values for which the prediction (+4/-4) is true, I want to do something similar in spark data frame. Say that below is my spark data frame +--------------------------+ |age | gender | prediction | +----+--------+------------+ |35 | M | 30 | |40 | F | 42 | |45 | F | 38 | |26 | F | 29 | +----+--------+------------+ I want my result to look something like this +------+----------+ |false | positive | +------+----------+ |2 | 2 | +------+----------+ python apache-spark pyspark apache-spark-sql ...