![时间序列的条形图]( "时间序列的条形图")
本文介绍了R ggplot2：时间序列的条形图的处理方法，对大家解决问题具有一定的参考价值，需要的朋友们下面随着小编来一起学习吧！ 问题描述 29岁程序员，3月因学历无情被辞！ 我有一份文件，显示过去十年股票的月度回报以及整个投资组合的总额。我想绘制这些变化，但我有两个问题。首先，R按日期按字母顺序对数据进行重新排序，而不是按日期的顺序排列（因为它们在文件中排序）。其次，日期轴太拥挤，我想每12个月只展示一个标签来清理它。我知道我的行标题实际上是字符而不是日期，但是当我尝试使用 as.Date（）函数来转换它们时，我遇到了一些其他奇怪的问题。 / p> 这是我的代码： library（ggplot2）库（比例） wb红色 样品 ggplot（data = sample，aes （x = rownames（sample），y = Total））+ geom_bar（stat =identity，fill = bRed，color = wfRed）+ theme_bw（）+ theme（panel.border = element_blank（），panel .grid.major.x = element_blank（）， panel.grid.major.y = element_line（color =black），panel.grid.minor = element_blank（），axis.line = element_line（color = black））+ labs（x =，y =价值变化）+ #scale_x_date（breaks =12 months）+ ggtitle结果）+ 指南（fill = FALSE）+ 主题（axis.text.x = element_text（angle = 45，hjust = 1）） 数据： >样本 GBP ZAR EUR SGD HKD总计 7/1/2006 -0.58644258 2.659271979 0.016035567 0.013142789 2.203442e-03 2.104211198 8/1/2006 0.94918267 -1.093805058 -0.043216559 -0.038509824 1.671150e-03 -0.224677625 9/1/2006 0.96858284 1.207307075 -0.009851115 -0.070232623 1.457896e-03 2.097264071 10/1/2006 -1.08921652 2.444999289 0.196899486 0.160219941 3.651512e-03 1.716553704 11/1/2006 1.22933459 -1.733890276 -0.103431071 -0.274692091 -4.029816e-03 -0.886708668 12/1/2006 2.39175673 -0.709273288 -0.718068825 -0.190843849 -5.834339e-04 0.772987340 1/1/2007 -0.70139084 -1.037347291 0.161052471 -0.091796714 8.747750e-04 -1.668607603 2/1/2007 0.24392307 0.667446624 0.214157276 0.004171487 7.264080e-03 1.136962537 3/1/2007 -0.26855741 0.506969991 -0.198908248 -0.075440834 1.979220e-03 -0.033957285 4/1/2007 0.30181757 -0.055464872 -0.201225421 -0.1118419 70 2.638671e-04 -0.066450831 5/1/2007 0.98740559 -1.103129028 -0.295675453 0.039994089 2.187714e-03 -0.369217087 6/1/2007 -0.51281185 0.284122261 0.179949941 0.111827891 -3.194268e-03 0.059893977 7/1/2007 0.83422369 -0.220374802 -0.108039973 -0.008365349 1.978028e-03 0.499421593 8/1/2007 0.74504059 0.272036764 -0.146962470 -0.137101361 3.159977e-03 0.736173504 9/1/2007 -0.47644001 0.212532644 0.042757782 0.086014485 -8.381567e-03 -0.143516667 10/1/2007 0.82299000 -1.498736409 -0.696410404 -0.520975027 -7.429962e-03 -1.900561805 11/1/2007 1.12622328 -1.199285692 -0.215304420 -0.303504111 - 3.535271e-03 -0.595406211 12/1/2007 -0.71946687 1.000826869 -0.227737289 -0.016571920 8.101840e-03 0.045152628 1/1/2008 -2.13751297 0.245695317 0.044252429 -0.091108927 3.489005e-03 -1.935185146 2/1/2008 -0.67426553 2.266769351 -0.227295641 -0.299956694 -1.084288e-03 1.064167202 3/1/2008 0.76797069 1.982247416 -0.402260681 -0.209856432 -3.921403e-03 2.134179588 4/1/2008 -0.41728750 0.636163043 -0.452618947 -0.202055162 1.826603e-03 -0.433971960 5/1/2008 -0.03500627 -1.625282529 0.141612143 -0.192736609 1.772133e -03 -1.709641127 6/1/2008 0.23881203 0.003037533 -0.081653354 0.007048234 2.456902e-03 0.169701346 7/1/2008 0.39968626 1.158605611 -0.242684724 -0.012932209 -1.136607e-03 1.301538334 8 / 1/2008 -0.62726348 -3.048904898 0.229011600 0.131755170 1.294386e-03 -3.314107223 9/1/2008 -5.52714272 2.279766382 0.960982305 0.580924888 1.848951e-04 -1.705284253 10/1/2008 -1.10654011 1.947384995 0.656949470 0.152472655 - 9.872998e-03 1.640394008 11/1/2008 -5.75972068 5.194938622 1.446459091 0.493990493 -4.895018e-03 1.370772512 12/1/2008 -4.66247285 2.279102044 0.142722537 0.485284557 3.457778e-04 -1.755017939 1 / 1/2009 -0.87029325 -3.588719911 -1.795916993 -1.060544288 -2.926180e-04 -7.315767064 2/1/2009 -0 .59119433 2.345077104 1.385401324 0.793838794 1.169842e-03 3.934292733 3/1/2009 -0.96007824 -0.271264076 0.177499977 0.383779342 1.861018e-04 -0.669876894 4/1/2009 0.65875960 -2.667513309 -0.723056595 -0.294984213 -1.409976e -03 -3.028204489 5/1/2009 1.96882792 -3.127963575 -0.028609797 -0.403961403 7.981331e-05 -1.591627038 6/1/2009 6.41408603 -2.231438902 -1.054268575 -0.439470734 1.063899e-04 2.689014205 7/1/2009 0.13384589 -1.156499819 0.018962822 0.023271366 -1.330022e-04 -0.980552741 8/1/2009 0.89677072 0.096589612 -0.128432117 -0.053369099 -2.660512e-05 0.811532516 9/1/2009 -2.08060087 0.634342994 0.036557158 0.054296114 2.393951e-04 -1.355165213 10/1/2009 -0.79768342 -0.874763535 -0.356426448 -0.342945092 -2.660307e-04 -2.372084522 11/1/2009 1.96268495 0.448763238 -0.188939237 -0.153116719 5.320887e -05 2.069445442 12/1/2009 0.60385136 -2.329732947 -0.388433698 -0.230667586 -2.660512e-05 -2.3450 09478 1/1/2010 -1.74132611 0.403503616 0.792779431 0.265595426 1.355853e-03 -0.278091783 2/1/2010 -0.75140823 0.456099846 0.433326124 0.072622163 3.423850e-03 0.214063748 3/1/2010 - 3.81036055 0.640417192 0.420608700 -0.048942253 -9.293740e-04 -2.799206281 4/1/2010 1.26256559 -1.887625782 -0.033777301 -0.100791765 4.778449e-04 -0.759151411 5/1/2010 -0.07401611 0.715976278 0.342863419 -0.308199151 - 6.107630e-04 0.676013671 6/1/2010 -2.56479890 1.430223048 1.265262299 0.479035956 7.065900e-03 0.616788302 7/1/2010 2.25754561 0.069547202 -0.384868133 -0.218102548 9.787040e-04 1.725100840 8 / 1/2010 2.12129997 -2.002981468 -0.661909875 -0.396428726 -7.353183e-03 -0.947373284 9/1/2010 -0.93786138 0.027130548 0.294046384 -0.161598738 2.386347e-03 -0.775896840 10/1/2010 1.50132742 -1.773883748 -1.210829229 -0.414460710 -4.783787e-03 -1.902630060 11/1/2010 0.84243741 0.208322569 -0.116812965 -0.25889336 9 -1.303074e-03 0.673750572 12/1/2010 -1.61946685 0.234111714 0.857160095 0.224724364 4.113754e-03 -0.299356923 1/1/2011 -0.04427375 -1.970713448 -0.294503463 -0.334150932 1.246634e-03 -2.642394959 2/1/2011 2.13469280 2.282033236 -0.525122609 -0.157386901 4.868956e-03 3.739085482 3/1/2011 0.48693470 -0.575616396 0.059388069 0.033923510 -1.852524e-04 0.004444635 4/1/2011 - 0.60302482 -1.486048101 -0.527338898 -0.170151292 -3.313314e-03 -2.789876428 5/1/2011 2.32617198 -0.649548334 -0.632328861 -0.467874781 -3.212305e-03 0.573207701 6/1/2011 -1.40387493 1.288972624 0.510922550 0.191113006 3.551294e-03 0.590684548 7/1/2011 -1.00091882 -0.513200170 -0.218256030 -0.164375663 4.769235e-04 -1.896273759 8/1/2011 0.86845450 -0.020128235 0.300088724 -0.332927768 2.487622e-03 0.817974840 9/1/2011 -0.45146377 1.315599967 -0.009975032 0.037201219 -2.225383e-03 0.889137001 10/1/2011 -2.31250856 4.449371664 0.965859710 1.259534419 8.474239e-04 4.363104656 11/1/2011 1.47276001 0.017528935 -0.372812490 -0.402806664 -3.820433e-03 0.710849358 12/1/2011 -1.02113783 -0.061260527 0.278924294 0.083635478 -5.042073e-04 -0.720342789 1/1/2012 -0.58913178 0.016328180 0.586650323 0.181418366 -5.043403e-04 0.194760751 2/1/2012 1.17727033 -1.724962152 -0.243712676 -0.584606347 -3.190171e-03 -1.379201013 3/1 / 2012 0.48846396 -1.101179431 -0.180006838 -0.011521333 0.000000e + 00 -0.804243639 4/1/2012 0.20097266 1.001504747 -0.037968718 0.097967845 2.840647e-03 1.265317186 2012/5/1 0.83668231 0.266816874 0.125469744 -0.283573627 -2.099440 e-03 0.943295862 2012年6月1日-3.32604195 3.234061989 0.958103906 0.703159921 6.110459e-04 1.569894916 2012/7/1 1.40799292 -1.662859673 -0.295959096 -0.347838597 -8.239189e-04 -0.899488367 8/1/2012 -0.68457483 0.731339343 0.551105992 -0.224456715 -5.316851e-04 0.372882108 2012年9月1日1。 33565036 0.200106161 -0.457341939 -0.002565620 5.316600e-05 1.075902128 10/1/2012 1.04629593 -0.068942477 -0.387970761 -0.236929300 -2.924765e-04 0.352160914 11/1/2012 0.00000000 0.992360534 -0.067400605 -0.120669610 -1.170523 e-03 0.803119795 12/1/2012 -0.45610996 0.988240667 -0.052471096 0.002622814 5.320956e-05 0.482335637 1/1/2013 0.92673882 -1.760102676 -0.265135407 0.011794013 1.063899e-04 -1.086598856 2 / 1/2013 -2.15162316 1.426314409 -0.521515965 0.251520132 1.727623e-03 -0.993576965 3/1/2013 -2.62454113 0.817551566 0.715584194 -0.002580109 -6.380921e-04 -1.094623575 2013/4/1 0.79865892 0.461617034 0.209823944 -0.003871108 2.177831e-03 1.468406618 5/1/2013 1.34605954 -0.628173666 -0.406860285 -0.094754555 -7.173479e-04 0.215553690 2013/6/1/1 -1.44316590 3.502774566 0.216895129 0.398685393 6.108913e-04 2.675800078 2013/7/1 0.07861134 -0.515809084 -0.078975075 -0.005064276 -1.807674e-03 -0.52304 4765 8/1/2013 -0.40083049 0.122513722 -0.172880695 0.159191121 1.594902e-04 -0.291846854 2013/9/1 1.59697270 0.984929294 -0.017937987 -0.021337463 -3.722100e-04 2.542254333 10/1 / 2013 2.80254340 -0.510847741 -0.363130782 -0.295288780 -2.658962e-04 1.633010196 11/1/2013 -1.04445416 0.215515238 0.045538829 -0.113287367 -5.053295e-04 -0.897192794 12/1/2013 1.74515343 -0.050634442 - 0.121788033 0.160579141 1.861536e-04 1.733496255 1/1/2014 0.76065484 1.039290115 -0.199877389 0.093755845 3.456629e-04 1.694169073 2/1/2014 -0.48206336 1.828661146 0.317872746 0.171712389 2.894159e-03 1.839077082 3 / 1/2014 1.17048025 -1.122263101 -0.370075693 -0.112333469 -1.275274e-03 -0.435467289 4/1/2014 -0.43184784 -0.539561075 0.010298812 -0.106729774 -1.010091e-03 -1.068849963 2014/5/1 0.99444681 -0.302325729 -0.088169550 -0.084300872 -9.839936e-04 0.518666663 6/1/2014 -0.51367729 0.268939878 0.267595025 0.017862051 5.319544e-05 0.040772863 7/1/2014 1.48241814 0.297165149 -0.050966425 -0.107894898 -7.448833e-04 1.619977087 8/1/2014 -1.20628473 0.031234879 0.290959690 0.012834332 -2.660478e-05 -0.871282438 9/1/2014 -0.79624341 -0.011446599 0.351705236 0.037133176 5.320887e-05 -0.418798389 10/1/2014 -1.59776599 1.732689632 0.607546389 0.280535401 3.823675e-03 1.026829105 11/1/2014 -0.74201364 -0.676950833 0.122616842 0.168047328 -2.552274e-03 -1.130852578 12/1/2014 -1.04178881 -0.143308159 0.069354012 0.259615063 1.329161e-04 -0.855994977 1/1/2015 -0.57564114 1.590545247 0.463554996 0.203121207 -7.975802e-05 1.681500548 2/1/2015 -2.12211605 0.282386702 1.060836038 0.362765100 -8.776880e-04 -0.417005902 3/1/2015 1.57828303 0.030874937 0.132885573 0.102146896 9.570355e-04 1.845147470 4/1/2015 -2.50496774 0.907139404 0.610817738 0.003521528 -7.978360e-04 -0.984286908 2015/5/1 1.37868583 0.213481519 -0 .639793440 -0.396978450 -1.063881e-04 0.555289067 6/1/2015 0.22000808 0.532370454 0.383597964 0.309088931 1.010156e-03 1.446075585 7/1/2015 1.72083500 -0.032884981 -0.182119411 -0.040211575 -9.042160e-04 1.464714815 8/1/2015 0.02013216 1.118505967 0.098595151 0.223899815 1.063722e-04 1.461239468 2015/9/1 -1.27999580 1.880259019 -0.475942079 0.458748868 -7.448833e-04 0.582325123 2015/10/1 -0.71081929 1.128366674 0.167499426 0.201323203 0.000000e + 00 0.786370013 2015年11月1日1.23426063 -0.238195428 0.266639410 -0.336892864 1.330079e-04 0.925944756 12/1/2015 -1.41021239 1.408472554 0.535261439 0.056897460 4.255281e-04 0.590844588 1/1/2016 -1.40087182 2.375901482 -0.331234590 0.067986855 -5.054360e-04 0.711276491 2/1/2016 -1.33471385 0.709930598 -0.046555048 0.116982385 7.395425e-03 -0.546960488 3/1/2016 -2.09559099 -0.665112572 0.029011389 -0.251349765 -1.724403e-03 -2.984766345 4/1/2016 1.2 3940797 -1.986660024 -0.760043927 -0.589940498 -4.626415e-03 -2.101862893 5/1/2016 1.70163126 -1.092565033 -0.083190940 -0.078568774 7.707896e-04 0.448077306 6/1/2016 -0.84345995 2.903763064 0.362742939 0.381162209 3.634855 e-03 2.807843117 解决方案 您只需将使用 x 的日期格式化> as.Date ，它需要一种格式，以便知道如何解析它们。清理了一下： library（ggplot2） ggplot（data = sample，aes（ x = as.Date（rownames（样本），％m /％d /％Y），y =总数））+ geom_bar（stat =identity， position ='dodge' ， fill = rgb（187，8，38，maxColorValue = 255）， color = rgb（187，8，38，maxColorValue = 255））+ theme_bw（）+ theme（panel.border = element_blank（）， panel.grid.major.x = element_blank（）， panel.grid.major.y = element_line（color =black）， panel.grid.minor = element_blank（）， axis.line = element_line（color =black）， axis.text.x = element_text（angle = 45，hjust = 1） ）+ labs（x =，y =价值变化，title =历史模拟结果） scale_x_date 格式化轴。 p> I have a file that shows the monthly returns on stocks as well as the total for the whole portfolio over the last ten years. I want to plot those changes but I am having two problems. First, R is reordering my data in 'alphabetical' order by date instead of the chronological order of the dates (as they are ordered in the file). Second, the date axis is too crowded, I would like to only show a label every twelve months to clean it up. I recognize that my row headers are actually characters and not dates but when I try to use the as.Date() function to convert them, I get some other weird issues.Here is my code:library(ggplot2)library(scales)wbRed <- rgb(red=187, green=8, blue=38, maxColorValue = 255)sample<-read.csv(file="C:/Users/Desktop/sample.csv", header=TRUE, sep=",", row.names=1)ggplot(data=sample, aes(x=rownames(sample), y=Total)) + geom_bar(stat="identity", fill=bRed, color=wfRed) + theme_bw() + theme(panel.border = element_blank(), panel.grid.major.x = element_blank(), panel.grid.major.y = element_line(colour = "black"), panel.grid.minor = element_blank(), axis.line = element_line(colour = "black")) + labs(x="", y="Changes in Value") + #scale_x_date(breaks="12 months") + ggtitle("Historical Simulation Results") + guides(fill=FALSE) + theme(axis.text.x = element_text(angle = 45, hjust = 1))Here is the data:> sample GBP ZAR EUR SGD HKD Total7/1/2006 -0.58644258 2.659271979 0.016035567 0.013142789 2.203442e-03 2.1042111988/1/2006 0.94918267 -1.093805058 -0.043216559 -0.038509824 1.671150e-03 -0.2246776259/1/2006 0.96858284 1.207307075 -0.009851115 -0.070232623 1.457896e-03 2.09726407110/1/2006 -1.08921652 2.444999289 0.196899486 0.160219941 3.651512e-03 1.71655370411/1/2006 1.22933459 -1.733890276 -0.103431071 -0.274692091 -4.029816e-03 -0.88670866812/1/2006 2.39175673 -0.709273288 -0.718068825 -0.190843849 -5.834339e-04 0.7729873401/1/2007 -0.70139084 -1.037347291 0.161052471 -0.091796714 8.747750e-04 -1.6686076032/1/2007 0.24392307 0.667446624 0.214157276 0.004171487 7.264080e-03 1.1369625373/1/2007 -0.26855741 0.506969991 -0.198908248 -0.075440834 1.979220e-03 -0.0339572854/1/2007 0.30181757 -0.055464872 -0.201225421 -0.111841970 2.638671e-04 -0.0664508315/1/2007 0.98740559 -1.103129028 -0.295675453 0.039994089 2.187714e-03 -0.3692170876/1/2007 -0.51281185 0.284122261 0.179949941 0.111827891 -3.194268e-03 0.0598939777/1/2007 0.83422369 -0.220374802 -0.108039973 -0.008365349 1.978028e-03 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x with as.Date, which requires a format so it knows how to parse them. Cleaned up a little bit:library(ggplot2)ggplot(data = sample, aes(x = as.Date(rownames(sample), "%m/%d/%Y"), y = Total)) + geom_bar(stat = "identity", position = 'dodge', fill = rgb(187, 8, 38, maxColorValue = 255), color = rgb(187, 8, 38, maxColorValue = 255)) + theme_bw() + theme(panel.border = element_blank(), panel.grid.major.x = element_blank(), panel.grid.major.y = element_line(colour = "black"), panel.grid.minor = element_blank(), axis.line = element_line(colour = "black"), axis.text.x = element_text(angle = 45, hjust = 1)) + labs(x = "", y = "Changes in Value", title = "Historical Simulation Results")Format the axis with scale_x_date if you like. 这篇关于R ggplot2：时间序列的条形图的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持！ 上岸，阿里云！ 08-20 19:26