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  • 近期做电网数据处理,获得的Excel表格数据是数字文本格式,对数据进行绘图、公式编辑困难,需要将数字文本格式转化为数字格式。 数字文本格式的特点:收据左上角有一个绿色三角,如下图所示 方法一:直接转换...

        近期做电网数据处理,获得的Excel表格数据是数字文本格式,对数据进行绘图、公式编辑困难,需要将数字文本格式转化为数字格式。

        数字文本格式的特点:收据左上角有一个绿色三角,如下图所示

        方法一:直接转换法

        选中需要转换的文本数据,在选中的文本数据的左上方会出现一个菱形中有一个感叹号图标

        点击图标,出现下拉菜单选择转换为数字

        方法二:批量转化法

        先选中需要转换的数据列,然后点击菜单栏数据,选中里面的分列

        出现的文本分列向导连续点击两个下一步,在第三步出现的列数据格式中选择常规,点击完成,完成数据格式转换

        

        参考文献:https://zhidao.baidu.com/question/2077172390505340908.html

    展开全文
  • 文本数字前面都有小箭头,点击转化为数字即可。 但是当数据量大的时候就很费劲了。 这时可以先在其他任一单元格输入1 再复制 选中要转化的那一列 粘贴,选择性粘贴 选择“乘” 即可。...

    很多系统导出的EXCEL内项目是文本型数字,很多公式无法使用。

    所以要首先转化成数字。文本型数字前面都有小箭头,点击转化为数字即可。

    但是当数据量大的时候就很费劲了。

    • 这时可以先在其他任一单元格输入1
    • 再复制
    • 选中要转化的那一列
    • 粘贴,选择性粘贴
    • 选择“乘”

    即可。

    展开全文
  • 官方文档 示例 from sklearn.preprocessing import LabelEncoder encoder=LabelEncoder() housing_cat=housing["ocean_proximity"] housing_cat_encoded=encoder.fit_transform(housing_cat) ...

    官方文档

    示例

    from sklearn.preprocessing import LabelEncoder
    encoder=LabelEncoder()
    housing_cat=housing["ocean_proximity"]
    housing_cat_encoded=encoder.fit_transform(housing_cat)
    housing_cat_encoded=pd.DataFrame(housing_cat_encoded,columns=["ocean_proximity"])
    

     

    展开全文
  • 这篇文章的区间并不能成为一个slicer, 我也没想到这么转了之后有什么用途,但是佩服作者在DAX 中使用变量使用得炉火纯清, 特地转到博客下面以备有兴趣时再研究下。   This might be a group of values s...

    文章出处:http://radacad.com/fun-with-dax-compressing-numeric-sequences-into-text

    这篇文章的区间并不能成为一个slicer, 我也没想到这么转了之后有什么用途,但是佩服作者在DAX 中使用变量使用得炉火纯清,

    特地转到博客下面以备有兴趣时再研究下。

     

    This might be a group of values such as 1, 2, 3, 4, 7, 8, 9, 12, 13:  (note there are gaps) with the expected result grouping the numbers that run in a sequence together to produce text like “1-4, 7-9, 12-13”.  Essentially to identify gaps when creating the text.  

    First I created some working data in a clean Power BI Desktop model by creating the following calculated table.

    Table = GENERATESERIES(1,50)

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    Table = GENERATESERIES(1,50)

    This provides a single column table with 50 rows in a sequence.  I use the ‘Table'[Value] field in a slicer and disabled the single select formatting option so I could click a series of numbers.

    The image below shows the slicer with some values selected AND it shows the text generated by the finished measure.

    Now let’s take a look at the measure.  For readability, I break the measure into steps using variables.  I use a very unimaginative naming system but will describe the point of each variable as I go.

    Measure = VAR A = SELECTCOLUMNS('Table',"N",[Value])

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    Measure =

    VAR A = SELECTCOLUMNS('Table',"N",[Value])

    Variable A will store a table expression that only contains rows from ‘Table’ that have been selected using the slicer.  The table expression stored in A will only have a single column and only as many rows as there are selections on the slicer.  In my example, that means just 9 of the 50 rows.

    Measure = VAR A = SELECTCOLUMNS('Table',"N",[Value]) VAR B = ALL('Table'[Value])

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    Measure =

    VAR A = SELECTCOLUMNS('Table',"N",[Value])

    VAR B = ALL('Table'[Value])

    Variable B will store every value from the original ‘Table’.  This is mainly done for readability when I start to play table A off against table B.  Table B will contain 50 rows (1 through 50).

    Measure = VAR A = SELECTCOLUMNS('Table',"N",[Value]) VAR B = ALL('Table'[Value]) VAR GAPS = SELECTCOLUMNS(EXCEPT(B,A),"Gap Value",[Value])

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    Measure =

    VAR A = SELECTCOLUMNS('Table',"N",[Value])

    VAR B = ALL('Table'[Value])

    VAR GAPS = SELECTCOLUMNS(EXCEPT(B,A),"Gap Value",[Value])

    Variable GAPS creates a list of values that exist in B, that doesn’t exist in A.  This will create an inverse list of values and should be the numbers from our ‘Table’ that aren’t selected.   The column in this table is renamed.  The number of rows in A + GAPS should always = 50 in this case.

    Measure = VAR A = SELECTCOLUMNS('Table',"N",[Value]) VAR B = ALL('Table'[Value]) VAR GAPS = SELECTCOLUMNS(EXCEPT(B,A),"Gap Value",[Value]) VAR C = SELECTCOLUMNS(A,"End Num",[N])

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    Measure =

    VAR A = SELECTCOLUMNS('Table',"N",[Value])

    VAR B = ALL('Table'[Value])

    VAR GAPS = SELECTCOLUMNS(EXCEPT(B,A),"Gap Value",[Value])

    VAR C = SELECTCOLUMNS(A,"End Num",[N])

    Variable C makes a copy of A but renames the only column in the table to be “End Num”.

    Measure = VAR A = SELECTCOLUMNS('Table',"N",[Value]) VAR B = ALL('Table'[Value]) VAR GAPS = SELECTCOLUMNS(EXCEPT(B,A),"Gap Value",[Value]) VAR C = SELECTCOLUMNS(A,"End Num",[N]) --- Get a bunch of possible sequences VAR D = GENERATE( A, FILTER( C, [End Num] >= [N]) )

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    Measure =

    VAR A = SELECTCOLUMNS('Table',"N",[Value])

    VAR B = ALL('Table'[Value])

    VAR GAPS = SELECTCOLUMNS(EXCEPT(B,A),"Gap Value",[Value])

    VAR C = SELECTCOLUMNS(A,"End Num",[N])

    --- Get a bunch of possible sequences

    VAR D = GENERATE(

                A,

                FILTER(

                   C,

                    [End Num] >= [N])

                    )

    Variable D now creates a Cartesian join for every row in variable A with every row in variable C, but only where the value in C is greater than the value in A and at this point will look something like this:

    Measure = VAR A = SELECTCOLUMNS('Table',"N",[Value]) VAR B = ALL('Table'[Value]) VAR GAPS = SELECTCOLUMNS(EXCEPT(B,A),"Gap Value",[Value]) VAR C = SELECTCOLUMNS(A,"End Num",[N]) --- Get a bunch of possible sequences VAR D = GENERATE( A, FILTER( C, [End Num] >= [N]) ) -- Make a list of sequences WTIH a gap in them VAR E = SELECTCOLUMNS( GENERATE( D , FILTER( GAPS, [Gap Value]>=[N] && [Gap Value] <= [End Num]) ), "N1",[N] , "N2",[End Num] +0 )

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    Measure =

    VAR A = SELECTCOLUMNS('Table',"N",[Value])

    VAR B = ALL('Table'[Value])

    VAR GAPS = SELECTCOLUMNS(EXCEPT(B,A),"Gap Value",[Value])

    VAR C = SELECTCOLUMNS(A,"End Num",[N])

    --- Get a bunch of possible sequences

    VAR D = GENERATE(

                A,

                FILTER(

                   C,

                    [End Num] >= [N])

                    )

    -- Make a list of sequences WTIH a gap in them

    VAR E = SELECTCOLUMNS(

                GENERATE(

                    D ,

                    FILTER(

                            GAPS,

                            [Gap Value]>=[N] && [Gap Value] <= [End Num])

                            ),

                "N1",[N]  ,

                "N2",[End Num] +0 )

    Variable E now makes a list of the number ranges (start/finish) generated in variable D, but keeps sequences that DO contain a value stored in the GAPS variable.  This is looking for bad sequences that we want to discard as we only want to keep sequences without gaps.

    Measure = VAR A = SELECTCOLUMNS('Table',"N",[Value]) VAR B = ALL('Table'[Value]) VAR GAPS = SELECTCOLUMNS(EXCEPT(B,A),"Gap Value",[Value]) VAR C = SELECTCOLUMNS(A,"End Num",[N]) --- Get a bunch of possible sequences VAR D = GENERATE( A, FILTER( C, [End Num] >= [N]) ) -- Make a list of sequences WTIH a gap in them VAR E = SELECTCOLUMNS( GENERATE( D , FILTER( Gaps, [Gap Value]>=[N] && [Gap Value] <= [End Num]) ), "N1",[N] , "N2",[End Num] +0 ) VAR F = EXCEPT(D,E)

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    Measure =

    VAR A = SELECTCOLUMNS('Table',"N",[Value])

    VAR B = ALL('Table'[Value])

    VAR GAPS = SELECTCOLUMNS(EXCEPT(B,A),"Gap Value",[Value])

    VAR C = SELECTCOLUMNS(A,"End Num",[N])

    --- Get a bunch of possible sequences

    VAR D = GENERATE(

                A,

                FILTER(

                   C,

                    [End Num] >= [N])

                    )

    -- Make a list of sequences WTIH a gap in them

    VAR E = SELECTCOLUMNS(

                GENERATE(

                    D ,

                    FILTER(

                            Gaps,

                            [Gap Value]>=[N] && [Gap Value] <= [End Num])

                            ),

                "N1",[N]  ,

                "N2",[End Num] +0 )  

    VAR F = EXCEPT(D,E)

    Variable F takes our list of every data range pair that we stored in variable D, but now remove the bad sequences identified using variable E.  None of the pairs now stored in variable F will have gaps, but there will be overlaps.

    Measure = VAR A = SELECTCOLUMNS('Table',"N",[Value]) VAR B = ALL('Table'[Value]) VAR GAPS = SELECTCOLUMNS(EXCEPT(B,A),"Gap Value",[Value]) VAR C = SELECTCOLUMNS(A,"End Num",[N]) --- Get a bunch of possible sequences VAR D = GENERATE( A, FILTER( C, [End Num] >= [N]) ) -- Make a list of sequences WTIH a gap in them VAR E = SELECTCOLUMNS( GENERATE( D , FILTER( Gaps, [Gap Value]>=[N] && [Gap Value] <= [End Num]) ), "N1",[N] , "N2",[End Num] +0 ) VAR F = EXCEPT(D,E) VAR G = SELECTCOLUMNS( GENERATE( F, FILTER( SELECTCOLUMNS( f, "D",[N] , "E",[End Num] +0 ) , ([D]>[N] && [D]<=[End Num]) || ([E]>=[N] && [E]<[End Num]) ) ) ,"D",[D],"E",[E])

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    Measure =

    VAR A = SELECTCOLUMNS('Table',"N",[Value])

    VAR B = ALL('Table'[Value])

    VAR GAPS = SELECTCOLUMNS(EXCEPT(B,A),"Gap Value",[Value])

    VAR C = SELECTCOLUMNS(A,"End Num",[N])

    --- Get a bunch of possible sequences

    VAR D = GENERATE(

                A,

                FILTER(

                   C,

                    [End Num] >= [N])

                    )

    -- Make a list of sequences WTIH a gap in them

    VAR E = SELECTCOLUMNS(

                GENERATE(

                    D ,

                    FILTER(

                            Gaps,

                            [Gap Value]>=[N] && [Gap Value] <= [End Num])

                            ),

                "N1",[N]  ,

                "N2",[End Num] +0 )  

    VAR F = EXCEPT(D,E)

    VAR G =

        SELECTCOLUMNS(

            GENERATE(

                F,

                FILTER(

                    SELECTCOLUMNS(

                        f,

                        "D",[N] ,

                        "E",[End Num] +0

                        ) ,

                    ([D]>[N] && [D]<=[End Num])

                    ||    

                    ([E]>=[N] && [E]<[End Num])

                    )

               )

               ,"D",[D],"E",[E])

    Variable G now joins variable F back to itself with some filter criteria to help look for pairs in F that are overlapped by another pair in the list, either by the pair starting before, or ending after.  Pairs in F that are NOT overlapped by another pair do not make this list.  It is these pairs that we eventually want to keep, but if we identify the “bad” pairs first, it makes the next step easier.

    Measure = VAR A = SELECTCOLUMNS('Table',"N",[Value]) VAR B = ALL('Table'[Value]) VAR GAPS = SELECTCOLUMNS(EXCEPT(B,A),"Gap Value",[Value]) VAR C = SELECTCOLUMNS(A,"End Num",[N]) --- Get a bunch of possible sequences VAR D = GENERATE( A, FILTER( C, [End Num] >= [N]) ) -- Make a list of sequences WTIH a gap in them VAR E = SELECTCOLUMNS( GENERATE( D , FILTER( Gaps, [Gap Value]>=[N] && [Gap Value] <= [End Num]) ), "N1",[N] , "N2",[End Num] +0 ) VAR F = EXCEPT(D,E) VAR G = SELECTCOLUMNS( GENERATE( F, FILTER( SELECTCOLUMNS( f, "D",[N] , "E",[End Num] +0 ) , ([D]>[N] && [D]<=[End Num]) || ([E]>=[N] && [E]<[End Num]) ) ) ,"D",[D],"E",[E]) VAR H = SELECTCOLUMNS( EXCEPT(F,G), "Output", IF( [N] = [End Num], [N], [N] & "-" & [End Num] ) ) RETURN CONCATENATEX(H,[Output], ", ")

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    Measure =

    VAR A = SELECTCOLUMNS('Table',"N",[Value])

    VAR B = ALL('Table'[Value])

    VAR GAPS = SELECTCOLUMNS(EXCEPT(B,A),"Gap Value",[Value])

    VAR C = SELECTCOLUMNS(A,"End Num",[N])

    --- Get a bunch of possible sequences

    VAR D = GENERATE(

                A,

                FILTER(

                   C,

                    [End Num] >= [N])

                    )

    -- Make a list of sequences WTIH a gap in them

    VAR E = SELECTCOLUMNS(

                GENERATE(

                    D ,

                    FILTER(

                            Gaps,

                            [Gap Value]>=[N] && [Gap Value] <= [End Num])

                            ),

                "N1",[N]  ,

                "N2",[End Num] +0 )  

    VAR F = EXCEPT(D,E)

    VAR G =

        SELECTCOLUMNS(

            GENERATE(

                F,

                FILTER(

                    SELECTCOLUMNS(

                        f,

                        "D",[N] ,

                        "E",[End Num] +0

                        ) ,

                    ([D]>[N] && [D]<=[End Num])

                    ||    

                    ([E]>=[N] && [E]<[End Num])

                    )

               )

                    ,"D",[D],"E",[E])  

    VAR H =  

        SELECTCOLUMNS(

            EXCEPT(F,G),

            "Output",

                IF(

                    [N] = [End Num],

                    [N],

                    [N] & "-" & [End Num]

                    )

               )

                                                

    RETURN CONCATENATEX(H,[Output], ", ")

    The last variable H, uses the EXCEPT function to only return pairs from variable F that were not identified as bad (variable G).  The IF function is used to decide if a hyphen is needed, or if the pair starts and stops at the same value.

    The CONCATENATEX function finally pivots the list stored in variable H that looks like :


    Into

    The PBIX file can be downloaded here, and allows you to play with a slicer and see the effect it has on the calculated measure on the same canvas.

    This approach could be tweaked to use dates in place of numbers so you can create a text-based description of your date ranges.  This might be useful in a report title especially given that it can update based on user interaction with slicers.

    The code can also simply run over a column of numbers (or dates) without the need for a slicer.   I found the question interesting and enjoyed coming up with a solution that I’m sure might be helpful to someone after something similar.

    展开全文
  • abap:如何将数字转化为文本

    千次阅读 2007-11-23 13:49:00
    使用功能模块SPELL_AMOUNT可以把数字转换为文本DATA v_int TYPE i VALUE 1000.DATA words LIKE SPELL. CALL FUNCTION SPELL_AMOUNT EXPORTING AMOUNT = v_int LANGUAGE = SY-LANGU IMPOR
  • java字符转化为数字的三种方法

    千次阅读 2020-03-10 15:17:13
    java字符转化为数字的三种方法 java字符转化为数字的三种方法 package com.isea.java; public class Test { public static void main(String[] args) { String str = "123"; Integer num1 = new Integer(str)...
  • DAX: 将数字转化为二进制,以及从二进制转化为数字 先用GENERATESERIES函数生产一系列数字,Binary Mapping = GENERATESERIES(1,512) 再用如下公式生成二进制数据 1 2 3 4 5 ...
  • 不知道大家有没有注意到这样一个问题,那就是我们进行format数字格式化后,是文本数字,这样是不能进行后续计算的,如何在保证原始文本数字的同时,使得其转化为数值型数字呢?这里我们不用int(),或者float() ...
  • 文本转化为向量

    千次阅读 2019-11-23 21:00:54
    假如有一句话"I am a student"。用向量来表示每个单词,采用one hot 编码表示方式: ...(1)单词向量之间的内积0,它们相互独立。这与实际情况是矛盾的,单词之间是有一定的联系,比如woman与girl,...
  • CSV 数字转化文本

    千次阅读 2015-07-31 11:02:21
    最近遇到一个Bug问题,csv 数值转化为文本的问题。 数据如下: 运行效果 如下: 大家看到“01720” 前面的0 没有显示出来。怎样才能显示出来了, 这里的csv文件格式也没有什么问题。后来找到解决方法 就是加...
  • R把科学技术法表示的数字转化为文本
  • 方法1: int timing = Convert.ToInt32(TextBox1.Text); 方法2: int timing = int.Parse(TextBox1.Text);
  • 导出EXCEL时数字转化为文本方法

    千次阅读 2018-07-24 18:09:17
    在显示的地方加个空格:&amp;nbsp; 或者在代码里填上:this.rpt_List.Items[0].Cells[0].Attributes.Add("style","vnd.ms-excel.numberformat:@");
  • Excel 数字文本 转换数字

    万次阅读 2018-06-15 09:41:00
    原文:https://jingyan.baidu.com/article/bea41d434640b2b4c51be6c2.html...如图,我这个数字前面增加了撇号,这种方法可以使数字转换成数字文本,这种方法在常见的如证件特别是身份证输入特殊有用,但如何遇到一...
  • 图片转化为文本的一种实现方法

    千次阅读 2017-08-13 22:29:56
    本文介绍一种图片转化为文本的实现方法
  • python中文数字转化成阿拉伯数字

    千次阅读 多人点赞 2021-03-10 11:52:22
    python中文数字转化成阿拉伯数字正则表达式提取文本中的数字中文转化成阿拉伯数字完整代码 正则表达式提取文本中的数字 这里演示一下文本中提取中文...time1 = re.findall(pattrern1,m0)#转化数字 提取年份如:
  • 很多时候,文本转拼音还是一件比较简单的事,但是要拼音转化为文本就可以使用另外一个模块的功能: Pinyin2Hanzi - Github 转载于:https://my.oschina.net/u/3729927/blog/2123816
  • 题目描述:实现类似c中atoi()函数的功能,一个字符串转化为数字。如字符串"123"转化为123.需要考虑的问题:1). 字符串第一位有没有符号,即+,-; 这里假设没有(如果有符号,还需要考虑若只有一个符号的...
  • 在做excel导出时遇到数字导出到excel里面有了固定格式,从而导致数据不能直接修改的问题,以下是解决这种问题的方式!由于本人比较菜,写下这个给自己以后做参考。 WritableFont wf=new WritableFont ...
  • 要求A2:A7单元格区域的文本格式的数字转换日期格式。 点击鼠标左键拖动鼠标选中A2:A7单元格区域,依次点击【数据】-【分列】选项。 如下图,弹出【文本分列向导—步骤1】对话框,勾选...
  • 原始数据中的字符串特征转化为模型可以识别的数字特征可是使用pandas自带的factorzie方法。 原始数据的job特征值如下 都是字符串特征,无法用于训练,当然可以单独建立map硬编码处理,但是pandas已经封装好了...
  • python:中文日期转化为数字日期

    千次阅读 2019-09-24 09:38:56
    # 中文日期转化为数字日期 time_ch = '二零一五年十二月三十日' year = time_ch.split('年')[0] month = time_ch.split('年')[1].split('月')[0] day = time_ch.split('年')[1].split('月')[1].split('日')[0] # ...
  • Js如何将数字转化为百分数

    千次阅读 2020-12-17 23:44:10
    定义一个方法, toPercent: function (point) { var str = Number(point*100).toFixed(1); str += "%"; return str; }, 测试:toPercent(.0.01) 结果 1%;
  • //将数字字符转换成整形数字 return sign *n; } 2.sscanf char str[] = "15.455"; int i; float fp; sscanf( str, "%d", &i ); // 字符串转换成整数 i = 15 sscanf( str, "%f", &fp ); // 字符串转换...
  • 【Excle】文本日期转化为日期格式

    千次阅读 2018-02-26 17:32:00
    需要该列转化为日期格式 方法一:使用分列 数据→分列,第三步选择【日期】   方法二:使用text函数 公式得到的结果: 但是这样转化后的是文本型日期,需要转化为日期型得先转化为数值型日期,...
  • 用fwrite写入到文本中的内容,打开之后,字母可以正常显示,数字却显示“?”或是空格。以fread的方法读出,用printf打印出来是正常显示的。 想要在文本中也能正常显示出来数字,方法如下:   可以把要显示的...
  • 文本形式存储的数字往往在单元格(Cell)的左上角会有一个绿色的小三角。 这种格式可能会影响我们运用其中的数值进行计算(其实...),不过还是转化为数字类型妙啊。 方法:(缺点:只能一列一列的更改) ...
  • 我为了实现将文本文件读出变成一个向量 用python先读入文件 再用readline()一行一行的读出 转化为整形 并在数组中记录 但是始终显示上边的错误 百思不得其解 终于发现 每个数字间有空格 int() 不能转换 终于想...

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