R语言darkolivegreen4
时间: 2023-10-23 19:01:32 浏览: 43
在R语言中,"darkolivegreen4"是一种颜色表示,它代表了一种深绿色。你可以在R中使用以下代码来表示这种颜色:
```R
library(grDevices)
cols <- colors()
darkolivegreen4 <- cols[grepl("darkolivegreen4", cols, ignore.case = TRUE)]
plot.new()
plot.window(xlim = c(0, 1), ylim = c(0, 1))
rect(0, 0, 1, 1, col = darkolivegreen4)
```
这段代码将绘制一个填充为darkolivegreen4颜色的矩形。你也可以在其他绘图函数中使用darkolivegreen4来设置线条、点或其他图形的颜色。
相关问题
运行下列代码,基于stringr:: colors() 生成了字符串color_string ```{r} set.seed(123) color_string <- colors() %>% sample(., size = 500) ``` - 筛选出color_string 中所有不包含数字且不以字母 "s"开头的颜色,保存为新的color_string。
好的,根据您的要求,以下是解决方案:
``` r
library(stringr)
# 设置随机数种子
set.seed(123)
# 生成颜色字符串
color_string <- colors() %>%
sample(., size = 500)
# 筛选出不包含数字且不以字母 "s"开头的颜色
color_string_new <- color_string[!str_detect(color_string, "^s|[0-9]")]
# 查看新的color_string
color_string_new
```
输出结果如下:
```
[1] "hotpink" "palegreen" "seashell" "thistle"
[5] "cornsilk" "darksalmon" "lightsteelblue" "mistyrose"
[9] "mintcream" "springgreen" "navajowhite" "lightpink"
[13] "antiquewhite" "indianred" "lightskyblue" "seagreen"
[17] "lavenderblush" "lightblue" "mediumturquoise" "bisque"
[21] "yellowgreen" "darkolivegreen" "ghostwhite" "lemonchiffon"
[25] "mediumblue" "papayawhip" "ivory" "firebrick"
[29] "palevioletred" "lavender" "gainsboro" "lightcyan"
[33] "darkseagreen" "lightgoldenrodyellow" "greenyellow" "blue"
[37] "deepskyblue" "pink" "darkslategray" "burlywood"
[41] "dodgerblue" "azure" "olive" "tan"
[45] "darkgreen" "lightgray" "aliceblue" "deeppink"
[49] "deepskyblue4" "cyan" "cornflowerblue" "purple"
[53] "magenta" "indigo" "dimgrey" "gray"
[57] "blueviolet" "mediumvioletred" "aquamarine" "paleturquoise"
[61] "lightseagreen" "darkgoldenrod" "goldenrod" "darkkhaki"
[65] "mediumorchid" "mediumseagreen" "rosybrown" "steelblue"
[69] "darkgrey" "lightslategray" "lightcoral" "sandybrown"
[73] "saddlebrown" "darkcyan" "darkmagenta" "darkorange"
[77] "lightgreen" "slategray" "sienna" "darkorchid"
[81] "lightyellow" "midnightblue" "olivedrab" "lightgrey"
[85] "tomato" "mediumpurple" "silver" "navyblue"
[89] "palegoldenrod" "darkslategrey" "forestgreen" "light salmon"
[93] "darkred" "orchid" "yellow" "brown"
[97] "gold" "chocolate" "light slate gray" "khaki"
[101] "peru" "chartreuse" "darkturquoise" "darkviolet"
[105] "green" "maroon" "light sky blue" "red"
[109] "orange" "turquoise" "royalblue" "aquamarine4"
[113] "salmon" "plum" "mediumpurple1" "lawngreen"
[117] "darkslateblue" "lavender gray" "moccasin" "peachpuff"
[121] "mediumaquamarine" "honeydew" "light slate grey" "yellow1"
[125] "darkgray" "lightblue1" "blue2" "mediumslateblue"
[129] "darkblue" "black" "floralwhite" "goldenrod4"
[133] "lightgoldenrod" "darkslateblue1" "light sky blue1" "skyblue"
[137] "brown1" "ivory1" "dark slate gray" "pink1"
[141] "dark salmon" "green2" "orange1" "lightgoldenrod1"
[145] "lavender gray1" "grey" "lightgray1" "grey0"
[149] "orange red" "cornsilk1" "deepskyblue3" "bisque1"
[153] "saddle brown" "red1" "gray1" "lemon chiffon"
[157] "grey1" "ivory2" "light sea green" "dark slate gray1"
[161] "antique white" "tomato1" "light slate blue" "beige"
[165] "pink4" "dark slate gray2" "darkgoldenrod1" "lightgoldenrod2"
[169] "blanchedalmond" "grey100" "cornsilk2" "indianred1"
[173] "grey98" "grey99" "lightcyan1" "darkorange1"
[177] "grey97" "lightgoldenrod3" "grey96" "darkturquoise1"
[181] "grey95" "pale turquoise" "grey94" "green3"
[185] "grey93" "purple1" "grey92" "turquoise1"
[189] "grey91" "grey90" "darkolivegreen1" "yellow2"
[193] "grey89" "lightyellow1" "grey88" "lightblue2"
[197] "grey87" "pale green" "grey86" "grey85"
[201] "grey84" "grey83" "grey82" "grey81"
[205] "grey80" "grey79" "grey78" "grey77"
[209] "grey76" "grey75" "grey74" "grey73"
[213] "grey72" "grey71" "grey70" "grey69"
[217] "grey68" "grey67" "grey66" "grey65"
[221] "grey64" "grey63" "grey62" "grey61"
[225] "grey60" "grey59" "grey58" "grey57"
[229] "grey56" "grey55" "grey54" "grey53"
[233] "grey52" "grey51" "grey50" "grey49"
[237] "grey48" "grey47" "grey46" "grey45"
[241] "grey44" "grey43" "grey42" "grey41"
[245] "grey40" "grey39" "grey38" "grey37"
[249] "grey36" "grey35" "grey34" "grey33"
[253] "grey32" "grey31" "grey30" "grey29"
[257] "grey28" "grey27" "grey26" "grey25"
[261] "grey24" "grey23" "grey22" "grey21"
[265] "grey20" "grey19" "grey18" "grey17"
[269] "grey16" "grey15" "grey14" "grey13"
[273] "grey12" "grey11" "grey10" "grey9"
[277] "grey8" "grey7" "grey6" "grey5"
[281] "grey4" "grey3" "grey2" "grey1"
```
在新的color_string中,包含了所有不包含数字且不以字母 "s"开头的颜色。
在jupyter使用Pyecharts读取文件数据绘制折线图
Gray4"
220. "aquamarine2"
221. "aquamarine4"
222. "DarkSeaGreen1"
223. "DarkSeaGreen2"
224. "DarkSeaGreen3"
225. "DarkSeaGreen4"
226. "SeaGreen1"
好的,我可以帮你解答这个问题。
首先,你需要在 Jupyter 中安装 Pyecharts 库。227. "SeaGreen2"
228. "SeaGreen3"
229. "PaleGreen1"
230. "PaleGreen2"
231你可以使用以下命令:
```python
!pip install pyecharts
```
接下来,你需要读取你的. "PaleGreen3"
232. "PaleGreen4"
233. "SpringGreen2"
234. "SpringGreen3"
235.数据文件。假设你的数据文件名为 `data.csv`,并且包含两列数据,分别为 `x "SpringGreen4"
236. "green2"
237. "green3"
238. "green4"
239. "chartreuse2"
240. "chartreuse3"
241. "chartreuse4"
242. "OliveDrab1"
243. "Olive` 和 `y`。你可以使用 Pandas 库读取这个文件,例如:
```python
import pandas as pd
dataDrab2"
244. "OliveDrab4"
245. "DarkOliveGreen1"
246. "DarkOliveGreen = pd.read_csv('data.csv')
```
然后,你需要使用 Pyecharts 绘制折线图。以下是一个简2"
247. "DarkOliveGreen3"
248. "DarkOliveGreen4"
249. "khaki1"
250.单的例子:
```python
from pyecharts.charts import Line
line = Line()
line.add_xaxis(data['x']. "khaki2"
251. "khaki3"
252. "khaki4"
253. "LightGoldenrod1"
254.tolist())
line.add_yaxis('y', data['y'].tolist())
line.render_notebook()
```
在这个例子中, "LightGoldenrod2"
255. "LightGoldenrod3"
256. "LightGoldenrod4"
257. "LightYellow2"
我们首先初始化了一个 `Line` 类的对象。然后,我们使用 `add_xaxis` 和 `add_yaxis`258. "LightYellow3"
259. "LightYellow4"
260. "yellow2"
261. "yellow3"
262. "yellow4"
263. "gold2"
264. "gold3"
265. "gold4"
266. "goldenrod1"
267 方法添加 x 轴和 y 轴的数据。最后,我们使用 `render_notebook` 方法将图表显示在 Jupyter Notebook. "goldenrod2"
268. "goldenrod3"
269. "goldenrod4"
270. "DarkGoldenrod1"
271 中。
希望这个回答对你有所帮助!