expand | 易学教程

How to expand a large dataframe in R

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问题 I have a dataframe df <- data.frame( id = c(1, 1, 1, 2, 2, 3, 3, 3, 3, 4), date = c("1985-06-19", "1985-06-19", "1985-06-19", "1985-08-01", "1985-08-01", "1990-06-19", "1990-06-19", "1990-06-19", "1990-06-19", "2000-05-12"), spp = c("a", "b", "c", "c", "d", "b", "c", "d", "a", "b"), y = rpois(10, 5)) id date spp y 1 1 1985-06-19 a 6 2 1 1985-06-19 b 3 3 1 1985-06-19 c 7 4 2 1985-08-01 c 7 5 2 1985-08-01 d 6 6 3 1990-06-19 b 5 7 3 1990-06-19 c 4 8 3 1990-06-19 d 4 9 3 1990-06-19 a 6 10 4 2000

解决一行文本溢出隐藏点击展开之后全部显示并自动换行每行长度一致问题

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一行数据文本内容太多，把页面撑得很长影响美观。该方法可以实现当一行文本内容超过固定长度后，收缩起来，显示一个“展开”按钮，用户一点击后就显示全部内容。当然多行文本也同样适用，（若是全部是中文也可以使用判断判断字符串长度的方法，中文占用两个字符，但是若文章中含有英文就不适合了，因为字母i所占用的长度非常短一个汉字所占用的字符多余2个i，就会出现长短不一的情况；)本文所展示方法解决了这个问题。 HTML <div style="width: 250px; position: absolute;"> <div id="content"> first my gaze toward the moon, but the moon shines on the ditch. “我本一心向明月，奈何明月照沟渠” </div> <a Onclick='more()' id='expand'> 展开 </a> <a Onclick='pack()' id="pack"> 收起 </a> </div> css #content{ width: 150px; height: 25px; float:left; overflow: auto; word-wrap:break-word; word-break: break-all; text-overflow:ellipsis; white-space

expand matrix in matlab?

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问题 I would like to expand matrix row by row under a conditional statement without initializing the matrix. In C++, simply I use std::vector and push_back method without initializing the size of the vector in C++. However, I want to do same scenario in Matlab. This is my pseudo code for i = 1:lengt(data) if ( condition ) K = [data(1) data(2) i] end K 回答1: If we assume from the above that data is an Nx2 matrix, and that you only want to save the rows that satisfy some condition, then you almost

Need CSS sidebar height to expand with content

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问题 I have a two column layout, with a gray sidebar on the right. I need the sidebar's height to expand when the height of the left column is increased (due to content being dynamically expanded). I can make the sidebar fit a static page, but I cannot get it to increase in size with the rest of the page. Did some Googling, but couldn't find a work-around that worked for me. Does anyone know how to do this? 回答1: This is a common problem when using DIVS for this type of layout. If you google 'Faux

How to duplicate rows based on a counter column

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问题 Let's say I have a data frame called df x count d 2 e 3 f 2 Count would be the counter column and the # times I want it to repeat. How would I expand it to make it x count d 2 d 2 e 3 e 3 e 3 f 2 f 2 I've already tried numpy.repeat(df,df.iloc['count']) and it errors out 回答1: You can use np.repeat() import pandas as pd import numpy as np # your data # ======================== df x count 0 d 2 1 e 3 2 f 2 # processing # ================================== np.repeat(df.values, df['count'].values,

Collapsing table with html

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问题 I have a table that I want to show used, available, and total for storage for specific servers. However, the servers have multiple drives and I want the default view to show totals for all storage for used, all for available, and all for total. But clicking the row drops it down to view the breakdown. I'll have all the data inputted into each cell, but I'm not sure how to do the drop down (collapse and expand). eg. collapse view <table> <th></th><th>server 1</th><th>server 2</th> <tr><td>used

How to expand parent div to account for child's overflow?

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问题 I created three tabs out of divs and put them along with a textbox into another div called window. I want window to encompass all of the content, have red background, and a blue border around it. The problem is that the tab divs appear to be overflowing their parent div (window) causing the background and border to fill a smaller area than should be filled. I tried setting overflow:hidden on the window and this chopped off part of the tabs which I didn't want, however the border now went

How to expand a df by different dict as columns?

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问题 I have a df with different dicts as entries in a column, in my case column "information". I would like to expand the df by all possible dict.keys(), something like that: import pandas as pd import numpy as np df = pd.DataFrame({'id': pd.Series([1, 2, 3, 4, 5]), 'name': pd.Series(['banana', 'apple', 'orange', 'strawberry' , 'toast']), 'information': pd.Series([{'shape':'curve','color':'yellow'}, {'color':'red'}, {'shape':'round'}, {'amount':500}, np.nan]), 'cost': pd.Series([1,2,2,10,4])}) id

How to expand a df by different dict as columns?

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