eps

PNG to eps conversion massive increase in file size

偶尔善良 提交于 2019-11-29 23:04:09
I'm converting an image from .png to .eps and it hugely increases the file size. Can anyone explain why this is, and how to prevent it increasing so much. I'm using Unix convert : convert image.png image.eps Thanks for any help Converting a PNG file (designed for bitmap data) into an EPS (designed for vector data) is always going to result in a larger file size, as the EPS is effectively just wrapping an EPS data structure around the original image data (which it most likely won't store in anywhere near as effective a manner as a PNG file). The correct solution is to store bitmaps as PNGs and

Aliasing when saving matplotlib filled contour plot to .pdf or .eps

为君一笑 提交于 2019-11-29 21:54:18
问题 I'm generating a filed contour plot with the matplotlib.pyplot.contourf() function. The arguments in the call to the function are: contourf(xvec,xvec,w,levels,cmap=matplotlib.cm.jet) where xvec = numpy.linspace(-3.,3.,50) levels = numpy.linspace(-0.01,0.25,100) and w is my data. The resulting plot looks pretty good on screen, but when I save to pdf using a call to matplotlib.pyplot.savefig(), the resulting pdf has a lot of aliasing (I think that is what it is) going on. The call to savefig is

C/C++中double类型的比较

荒凉一梦 提交于 2019-11-29 21:23:20
由于double浮点数的精度问题,所以在比较大小的时候,不能像int整数型那样,直接if(a==b),if(a<b),if(a>b) 要使用一个精度EPS: const double EPS = 1e-6; //一般这样子就够,但有时具体题目要考虑是否要更小的 if(fabs(a-b) < EPS) //判断是否相等 if(a > b+EPS) // 判断a是否大于b,因为大的肯定大,所以即使你小的加上,还是会更大 在这里记一下,不然每次都找,好麻烦。 摘自CSND,找不到链接了, 来源: https://www.cnblogs.com/zhaoyunt/p/11533155.html

disturbing artifacts in pdf

≯℡__Kan透↙ 提交于 2019-11-29 05:03:01
I'm struggling with a problem when making plots with filledcurves. Between the filled areas, there seems to be a "gap". However, these artifacts do not appear on the print, but depend on the viewer and zoom-options. In Gnuplot I use the eps terminal, the eps-files look great, but the lines appear when I'm converting to pdf. The conversion it either done directly after plotting or when converting the latex-document from dvi to pdf. As most of the documents are here on the display nowadays, this is an issue. The problem also appears when I'm directly using the pdfcairo terminal in Gnuplot, so it

PNG to eps conversion massive increase in file size

天涯浪子 提交于 2019-11-28 20:13:26
问题 I'm converting an image from .png to .eps and it hugely increases the file size. Can anyone explain why this is, and how to prevent it increasing so much. I'm using Unix convert: convert image.png image.eps Thanks for any help 回答1: Converting a PNG file (designed for bitmap data) into an EPS (designed for vector data) is always going to result in a larger file size, as the EPS is effectively just wrapping an EPS data structure around the original image data (which it most likely won't store

PE、PB、PS、ROE、EPS含义及计算公式

旧时模样 提交于 2019-11-28 18:44:57
PE:市盈率 = 股价 / 每股盈利 PB:市净率=股价 / 每股净资产 PS:市销率=股价 / 每股收入=总市值 / 销售收入 ROE:净资产收益率=报告期净利润/报告期末净资产 EPS:每股盈余=盈余 / 流通在外股数 or 每股收益=期末净利润 / 期末总股本 PE:Price/Earnings 市盈率 也有叫做PER的,Price/Earnings Ratio 本益比,价格收益比,市盈率 市盈率反映市场对企业盈利的看法。市盈率越高暗示市场越看好企业盈利的前境。对於投资者来说,市盈率过低的股票会较为吸引。不过,在讯息发达的金融市场,市盈率过低的股票是十分少见。单凭市盈率来拣股是不可能的。投资者可以利用每股盈利增长率(Rate of EPS Growth),与市盈率作比较。对於一间增长企业,如果其股价是合理的话,每股盈利增长率将会与市盈率相约。公式:市盈率 = 股价 / 每股盈利.如果企业每股盈利为5元,股价为40元,市盈率是8倍。 PB:Price/Book value :平均市净率 股价 / 账面价值 其中,账面价值的含义是:总资产 ? 无形资产 ? 负债 ? 优先股权益;可以看出,所谓的账面价值,是公司解散清算的价值。因为如果公司清算,那么债要先还,无形资产则将不复存在,而优先股的优先权之一就是清算的时候先分钱。但是本股市没有优先股,如果公司盈利,则基本上没人去清算。这样

Export a graph to .eps file with R

白昼怎懂夜的黑 提交于 2019-11-26 21:26:36
How do I export a graph to an .eps format file? I typically export my graphs to a .pdf file (using the 'pdf' function), and it works quite well. However, now I have to export to .eps files. The easiest way I've found to create postscripts is the following, using the setEPS() command: setEPS() postscript("whatever.eps") plot(rnorm(100), main="Hey Some Data") dev.off() If you are using ggplot2 to generate a figure, then a ggsave(file="name.eps") will also work. The postscript() device allows creation of EPS, but only if you change some of the default values. Read ?postscript for the details.

Export a graph to .eps file with R

点点圈 提交于 2019-11-26 12:18:12
问题 How do I export a graph to an .eps format file? I typically export my graphs to a .pdf file (using the \'pdf\' function), and it works quite well. However, now I have to export to .eps files. 回答1: The easiest way I've found to create postscripts is the following, using the setEPS() command: setEPS() postscript("whatever.eps") plot(rnorm(100), main="Hey Some Data") dev.off() 回答2: If you are using ggplot2 to generate a figure, then a ggsave(file="name.eps") will also work. 回答3: The postscript()