從文本文件中提取行

Question

我有一個文本文件，我想在其中提取某些行。 例如，保留第1：3行，刪除第4：7行，保留第8:10行。 理想情況下，新文本文件將是名稱中帶有_append的新文本文件。

我懷疑您會在終端中使用正則表達式，但是我在正則表達式方面有大約一小時的知識。

操作系統：我在OS X上，合作伙伴在Windows 10上，我們有一台舊的慢速計算機，上面裝有最新的Ubuntu和Linux Mint。

從此文件轉到

*---------------------------------*
*          GARCH Model Fit        *
*---------------------------------*

Conditional Variance Dynamics   
-----------------------------------
GARCH Model : eGARCH(1,1)
Mean Model  : ARFIMA(0,0,0)
Distribution    : norm 

Optimal Parameters
------------------------------------
        Estimate  Std. Error   t value Pr(>|t|)
mu     -0.000035    0.000278  -0.12558 0.900064
omega  -0.131803    0.012416 -10.61557 0.000000
alpha1 -0.104974    0.015901  -6.60185 0.000000
beta1   0.984519    0.001600 615.23328 0.000000
gamma1  0.106778    0.022386   4.76980 0.000002

Robust Standard Errors:
        Estimate  Std. Error    t value Pr(>|t|)
mu     -0.000035    0.000716  -0.048756 0.961114
omega  -0.131803    0.038617  -3.413124 0.000642
alpha1 -0.104974    0.050081  -2.096092 0.036074
beta1   0.984519    0.005043 195.217257 0.000000
gamma1  0.106778    0.071636   1.490573 0.136074

LogLikelihood : 10033 

Information Criteria
------------------------------------

Akaike       -5.7897
Bayes        -5.7808
Shibata      -5.7897
Hannan-Quinn -5.7865

Weighted Ljung-Box Test on Standardized Residuals
------------------------------------
                        statistic p-value
Lag[1]                      1.368 0.24209
Lag[2*(p+q)+(p+q)-1][2]     3.404 0.10913
Lag[4*(p+q)+(p+q)-1][5]     5.817 0.09929
d.o.f=0
H0 : No serial correlation

Weighted Ljung-Box Test on Standardized Squared Residuals
------------------------------------
                        statistic p-value
Lag[1]                      4.649 0.03108
Lag[2*(p+q)+(p+q)-1][5]     6.972 0.05267
Lag[4*(p+q)+(p+q)-1][9]     9.014 0.08075
d.o.f=2

Weighted ARCH LM Tests
------------------------------------
            Statistic Shape Scale P-Value
ARCH Lag[3]    0.8635 0.500 2.000  0.3528
ARCH Lag[5]    2.1150 1.440 1.667  0.4464
ARCH Lag[7]    3.7967 2.315 1.543  0.3768

Nyblom stability test
------------------------------------
Joint Statistic:  0.7384
Individual Statistics:              
mu     0.11217
omega  0.15329
alpha1 0.23532
beta1  0.14787
gamma1 0.06221

Asymptotic Critical Values (10% 5% 1%)
Joint Statistic:         1.28 1.47 1.88
Individual Statistic:    0.35 0.47 0.75

Sign Bias Test
------------------------------------
                   t-value     prob sig
Sign Bias          0.82347 0.410299    
Negative Sign Bias 0.08741 0.930353    
Positive Sign Bias 2.58593 0.009752 ***
Joint Effect       7.08211 0.069326   *


Adjusted Pearson Goodness-of-Fit Test:
------------------------------------
  group statistic p-value(g-1)
1    20     69.83    9.802e-08
2    30     90.41    3.146e-08
3    40    107.39    2.628e-08
4    50    134.93    5.809e-10


Elapsed time : 0.3566 

以該文件結束

GARCH Model : eGARCH(1,1)
Mean Model  : ARFIMA(0,0,0)
Distribution    : norm

Robust Standard Errors:
        Estimate  Std. Error    t value Pr(>|t|)
mu     -0.000035    0.000716  -0.048756 0.961114
omega  -0.131803    0.038617  -3.413124 0.000642
alpha1 -0.104974    0.050081  -2.096092 0.036074
beta1   0.984519    0.005043 195.217257 0.000000
gamma1  0.106778    0.071636   1.490573 0.136074

LogLikelihood : 10033

Information Criteria
------------------------------------

Akaike       -5.7897
Bayes        -5.7808
Shibata      -5.7897
Hannan-Quinn -5.7865

Weighted Ljung-Box Test on Standardized Residuals
------------------------------------
                        statistic p-value
Lag[1]                      1.368 0.24209
Lag[2*(p+q)+(p+q)-1][2]     3.404 0.10913
Lag[4*(p+q)+(p+q)-1][5]     5.817 0.09929
d.o.f=0
H0 : No serial correlation

Weighted Ljung-Box Test on Standardized Squared Residuals
------------------------------------
                        statistic p-value
Lag[1]                      4.649 0.03108
Lag[2*(p+q)+(p+q)-1][5]     6.972 0.05267
Lag[4*(p+q)+(p+q)-1][9]     9.014 0.08075
d.o.f=2

Asymptotic Critical Values (10% 5% 1%)
Joint Statistic:         1.28 1.47 1.88
Individual Statistic:    0.35 0.47 0.75

Sign Bias Test
------------------------------------
                   t-value     prob sig
Sign Bias          0.82347 0.410299
Negative Sign Bias 0.08741 0.930353
Positive Sign Bias 2.58593 0.009752 ***
Joint Effect       7.08211 0.069326   *

Answer 1

嘗試：

sed '4,7d' your_file > your_file_appended

它將從文件中刪除第4-7行，並將修改后的內容寫入名為your_file_appended新文件中