explode

可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效，请关闭广告屏蔽插件后再试): 问题: I have a problem, I have a string array, and I want to explode in different delimiter. For Example $example = 'Appel @ Ratte'; $example2 = 'apple vs ratte' and I need an array which is explode in @ or vs. I already wrote a solution, but If everybody have a better solution please post here. private function multiExplode($delimiters,$string) { $ary = explode($delimiters[0],$string); array_shift($delimiters); if($delimiters != NULL) { if(count($ary) multiExplode($delimiters, $string); } return $ary; } 回答1: what about using $output = preg_split(

可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效，请关闭广告屏蔽插件后再试): 问题: I have a column called event_data in json format in my spark DataFrame, after reading it using from_json , I get this schema: root |-- user_id: string (nullable = true) |-- event_data: struct (nullable = true) | |-- af_content_id: string (nullable = true) | |-- af_currency: string (nullable = true) | |-- af_order_id: long (nullable = true) I only need af_content_id from this column. This attribute can be of different formats: a String an Integer a List of Int and Str. eg ['ghhjj23','123546',12356] None (sometimes event_data doesn't contain

可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效，请关闭广告屏蔽插件后再试): 问题: I've written what I thought was a very simple use of the php explode() function to split a name into forename and surname: // split name into first and last $split = explode(' ', $fullname, 2); $first = $split[0]; $last = $split[1]; However, this is throwing up a php error with the message "Undefined offset: 1" . The function still seems to work, but I'd like to clear up whatever is causing the error. I've checked the php manual but their examples use the same syntax as above. I think I understand what an undefined offset is, but I can't see

可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效，请关闭广告屏蔽插件后再试): 问题: I'd like to explode an array of structs to columns (as defined by the struct fields). E.g. root |-- arr: array (nullable = true) | |-- element: struct (containsNull = true) | | |-- id: long (nullable = false) | | |-- name: string (nullable = true) Should be transformed to root |-- id: long (nullable = true) |-- name: string (nullable = true) I can achieve this with df .select(explode($"arr").as("tmp")) .select($"tmp.*") How can I do that in a single select statement? I thought this could work, unfortunately it does not: df.select(explode($

饼状图特点： 饼状图显示一个数据系列中各项大小与各项总和的比例 饼状图的数据点显示为整个饼状图的百分比 import os import time import numpy as np import matplotlib.pyplot as plt basedir = os.path.dirname(os.path.abspath( __file__ )) resultdir = os.path.join(basedir, ‘ result ‘ ) class Create_pie(object): def __init__ (self,data,labels,dst,name= ‘‘ ,title= ‘ Title ‘ ,aspect=1,autopct= ‘ %0.2f%% ‘ ,explode=[],shadow= True): ‘‘‘ :param data: 饼状图使用的数据，一般为列表 :param labels: 饼状图各个label名称，一般为列表 :param dst: 存放生成图片的文件夹路径 :param name: 图片的名称，默认为当前时间戳 :param title: 图片的标题，默认为Title :param aspect: 图片x轴与y轴的比例，默认为1 :param autopct: 用来在饼状图上添加格式化字符串 :param explode:

建表语句结构 create table if not exists employees ( name string, salary float, subordinates array, deductions map<string, float>, address struct<street:string, city:string, state:string, zip:int> ) row format delimited fields terminated by ‘\001’ collection items terminated by ‘\002’ map keys terminated by ‘\003’ lines terminated by ‘\n’ stored as textfile; 2. 表里 name 和 subordinates 的数据结构 使用 lateral view 和 explode 查询 select name,subordinate from employees lateral view explode(subordinates) subordinates_table as subordinate; 总结: explode就是将hive一行中复杂的 array 或者 map 结构拆分成多行。 下面就做个小例子, 创建 hive 表 doc,

1、普通的饼状图 from matplotlib import pyplot as plt # 显示饼状图 # label = ["test1","test2","test3","test4"] # # fracs = [20,30,40,10] # # plt.axes(aspect=2) # plt.pie(labels=label,x=fracs) # plt.show() 2、显示每个label的比例 # 在图例中显示每个label的比例 # label = ["test1","test2","test3","test4"] # # fracs = [20,30,40,10] # # plt.axes(aspect=2) # plt.pie(labels=label,x=fracs,autopct="%.0f%%") # plt.show() 3、可以让某个/某几个label离开圆柱体，可以设置距离，如果不离开，距离设置为0即可 # # 可以让某个标签离开圆柱体 # label = ["test1","test2","test3","test4"] # fracs = [20,30,40,10] # # # 这里的0.1和0.2就是离开的距离 # explode = [0,0.1,0,0.2] # plt.axes(aspect=2) # plt.pie(labels