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What's the cleanest way to print an equally-spaced list in python?

我与影子孤独终老i 提交于 2021-02-19 23:08:35
问题 Please close if this is a duplicate, but this answer does not answer my question as I would like to print a list, not elements from a list. For example, the below does not work: mylist = [0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15] print(%3s % mylist) Desired output: [ 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15] Basically, if all items in the list are n digits or less, equal spacing would give each item n+1 spots in the printout. Like setw in c++. Assume n is known. If I have missed a similar SO

Java Swing Apache POI make Word Document read only

旧城冷巷雨未停 提交于 2021-02-19 23:08:26
问题 Hello I am creating a Swing application to create a word document. I have made use of the Apache POI Java API for this purpose. But the problem is --> How do I set the word document to be read only after creation? I have heard of java.io.File.setReadOnly() method, but I don't know how to use it in this context. Here is the code: private void jButton1ActionPerformed(java.awt.event.ActionEvent evt) { try{ FileOutputStream outStream=new FileOutputStream("New.docx"); XWPFDocument doc =new

Creating multiple ggplots with dplyr

China☆狼群 提交于 2021-02-19 23:08:14
问题 After creating a plot matrix using GGally::ggpairs() , I would like to store the individual scatter plots for later use. Here is my current code: # load necessary package library(GGally) # loads `ggplot2` library(magrittr) # allows for the use of `%>%` # create a matrix of plots mtcars %>% na.omit() %>% ggpairs(columns = 1:7) # how do I automate this process? P1 <- ggplot(aes(x = disp, y = hp)) + geom_point() P2 <- ggplot(aes(x = drat, y = hp)) + geom_point() P3 <- ggplot(aes(x = hp, y = qsec

python.dataScience is “Unknown Configuration Setting” in VS Code

扶醉桌前 提交于 2021-02-19 23:08:05
问题 I am running VS Code (Version 1.52) with extensions Jupyter Notebook (2020.12) and Python (2020.12) on MacOS Catalina. Context: I have problems getting Intellisense to work properly in my Jupyter Notebooks in VS Code. Some have had some success with adding these config parameters to the global settings of VS Code: "python.dataScience.runStartupCommands": [ "%config IPCompleter.greedy=True", "%config IPCompleter.use_jedi = False" ] I went ahead and added those as well but then had to realize

python.dataScience is “Unknown Configuration Setting” in VS Code

蹲街弑〆低调 提交于 2021-02-19 23:07:34
问题 I am running VS Code (Version 1.52) with extensions Jupyter Notebook (2020.12) and Python (2020.12) on MacOS Catalina. Context: I have problems getting Intellisense to work properly in my Jupyter Notebooks in VS Code. Some have had some success with adding these config parameters to the global settings of VS Code: "python.dataScience.runStartupCommands": [ "%config IPCompleter.greedy=True", "%config IPCompleter.use_jedi = False" ] I went ahead and added those as well but then had to realize

Creating multiple ggplots with dplyr

别来无恙 提交于 2021-02-19 23:07:01
问题 After creating a plot matrix using GGally::ggpairs() , I would like to store the individual scatter plots for later use. Here is my current code: # load necessary package library(GGally) # loads `ggplot2` library(magrittr) # allows for the use of `%>%` # create a matrix of plots mtcars %>% na.omit() %>% ggpairs(columns = 1:7) # how do I automate this process? P1 <- ggplot(aes(x = disp, y = hp)) + geom_point() P2 <- ggplot(aes(x = drat, y = hp)) + geom_point() P3 <- ggplot(aes(x = hp, y = qsec

Boost.Qi rule with skipper does not match '.' character

Deadly 提交于 2021-02-19 23:06:59
问题 So I have the following qi skipper: template<typename Iterator> struct verilog_skipper : public qi::grammar<Iterator> { verilog_skipper() : verilog_skipper::base_type(skip) { namespace phx = boost::phoenix; skip = qi::ascii::space | qi::eol | line_comment; line_comment = (qi::lit("//") >> *(qi::char_ - qi::eol) >> *(qi::eol)); } qi::rule<Iterator> skip; qi::rule<Iterator> line_comment; }; and the following qi grammar: template <typename Iterator, typename Skipper = verilog_skipper<Iterator>

Get updated MySQL table entries in python without closing connection

拜拜、爱过 提交于 2021-02-19 23:06:38
问题 I have 2 python programs running. Script1 writes entries to a table periodically, and Script2 reads from the same MySQL table. Both are running simultaneously. Script2 must get the last (latest added) entry of the table. Now, the problem is that Script1 is adding entries to the table perfectly, but Script2 is unable to read the latest entry each time. It reads the latest entry only when I close the connection after reading, and re-open it when I want to read again. Is this the only approach

python.dataScience is “Unknown Configuration Setting” in VS Code

那年仲夏 提交于 2021-02-19 23:06:03
问题 I am running VS Code (Version 1.52) with extensions Jupyter Notebook (2020.12) and Python (2020.12) on MacOS Catalina. Context: I have problems getting Intellisense to work properly in my Jupyter Notebooks in VS Code. Some have had some success with adding these config parameters to the global settings of VS Code: "python.dataScience.runStartupCommands": [ "%config IPCompleter.greedy=True", "%config IPCompleter.use_jedi = False" ] I went ahead and added those as well but then had to realize

Remove XMP Metadata on PDF/A

本秂侑毒 提交于 2021-02-19 22:38:38
问题 Is there a way wherein we can remove XMP metadata on a PDF/A Document without removing the PDF/A standardization? I found that using PdfReader reader = new PdfReader(src); PdfDictionary dict = reader.getCatalog(); dict.remove(PdfName.METADATA); dict.remove(PdfName.PROPERTIES); reader.removeUnusedObjects(); Removes both XMP and PDF/A. Is there a way to remove the XMP while retaining the standard or reintroducing PDF/A into the processed document? Thanks. 回答1: You can't remove the XMP