onom: 2月 2021

2021年2月26日金曜日

EPS 2021FEB26

eps_year_xts["2020::"]

[,1]

2020-01-01 116.33
2020-04-01 99.23
2020-07-01 98.22
2020-10-01 96.45
2021-01-01 119.73
2021-04-01 139.51
2021-07-01 146.75
2021-10-01 154.78

$ tac eps.txt | awk '{gsub("\\$","",$NF);print "eps_year_xts[\"2019::\"]["NR"] <- "$NF}'

eps_year_xts["2019::"][1] <- 134.39

eps_year_xts["2019::"][2] <- 135.27

eps_year_xts["2019::"][3] <- 132.90

eps_year_xts["2019::"][4] <- 139.47

eps_year_xts["2019::"][5] <- 116.33

eps_year_xts["2019::"][6] <- 99.23

eps_year_xts["2019::"][7] <- 98.22

eps_year_xts["2019::"][8] <- 91.15

eps_year_xts["2019::"][9] <- 114.36

eps_year_xts["2019::"][10] <- 133.35

eps_year_xts["2019::"][11] <- 141.08

eps_year_xts["2019::"][12] <- 155.56

2021年2月19日金曜日

ゼロサプレス　zero supress bash awk split 文字列分割

bash

$ seq -f %03g 1 10

001
002
003
004
005
006
007
008
009
010

ループ loop

for i in `seq -f %03g 1 90`; do wget https://blog-imgs-77-origin.fc2.com/u/r/u/urutoraerogazou/matsushima-kaede-166-$i.jpg ; done

for i in `seq 414 453`; do wget https://blog-imgs-76-origin.fc2.com/d/e/n/densetsuav/1543tachibanarikopin-$i.jpg ; done

二重ループ　double loop サンプル

for j in `seq 1 34`
do for i in `seq 1 12`
# do wget -r https://javtube.com/javpic/ameri-ichinose/$j/ameri-ichinose-$i.jpg
do wget -r https://jjgirls.com/japanese/rin-aikawa/$j/rin-aikawa-$i.jpg
done
done

R

for(i in seq(1,47,1)){ colnames(mdf)[i] <- (paste(sprintf("%02d",i),colnames(mdf)[i],sep=""))}

sprintf("%.2f",100.0111)

[1] "100.01"

sprintf("%.3f",100.0111)

[1] "100.011"

sprintf("%.5f",100.0111)

[1] "100.01110"

sprintf("%.6f",100.0111)

[1] "100.011100"

awk

awk '{$3=sprintf("%02d", $3);

find . -print | awk -F\. '{print $2}' | grep k | awk -F\/ '{print $3"-"$2}' | awk '{split($0,a,"-"); print "cp \.\/"a[4]"\/"a[1]"-"a[2]"-"a[3]".jpg ~\/tmpimage\/kaede\/jjgirls.com\/"a[1]a[2]a[4]"-"a[3]".jpg"}' > kaedecp.txt

split($0,a,"-")で行全体を-で区切って分割する。分割した各要素はa[i]でアクセスできる。

2021年2月16日火曜日

append new entries to xts object.

last(tmp.predict,3)

SP5.Open SP5.High SP5.Low SP5.Close SP5.Volume spline eps
10 2020 3385.870 3549.850 3233.940 3269.960 89737600000 3475.842 3450.187
11 2020 3296.200 3645.990 3279.740 3621.630 100977880000 3465.431 3396.378
12 2020 3645.870 3760.200 3633.400 3756.070 96056410000 3420.055 3238.727

create the entry for "2021-01-01". first to create single row matrix and convert to the xts.

as.xts(matrix(c(as.vector(apply.monthly(SP5["2021-01"],mean)),3395,3180),nrow=1),as.Date("2021-01-01"))[,-5]

[,1] [,2] [,3] [,4] [,5] [,6] [,7]
2021-01-01 3797.387 3818.136 3768.962 3793.748 5555199474 3395 3180

run append.

append(tmp.predict,as.xts(matrix(c(as.vector(apply.monthly(SP5["2021-01"],mean)),3395,3180),nrow=1),as.Date("2021-01-01"))[,-5]) %>% last(.,6)

SP5.Open SP5.High SP5.Low SP5.Close SP5.Volume spline eps
8 2020 3288.260 3514.770 3284.530 3500.310 84402300000 3270.029 3340.749
9 2020 3507.440 3588.110 3209.450 3363.000 92084120000 3416.319 3423.604
10 2020 3385.870 3549.850 3233.940 3269.960 89737600000 3475.842 3450.187
11 2020 3296.200 3645.990 3279.740 3621.630 100977880000 3465.431 3396.378
12 2020 3645.870 3760.200 3633.400 3756.070 96056410000 3420.055 3238.727
1 2021 3797.387 3818.136 3768.962 3793.748 5555199474 3395.000 3180.000

2021年2月5日金曜日

EPS 2021FEB05

> eps_year_xts["2020::"]