Deepak Sharma (Instructor-in-Charge)
Answer
A-8
B-9
C-7
D-6
E-10
F-2
G-4
H-3
I-1
J-5
Code demonstration
In R str() function provides the type of data structure
a <- 5
str(a)## num 5
a <- '5'
str(a)## chr "5"
In Python str() function provides type-casting (conversion of a data type into string data type)
a = 5
type(a)## <class 'int'>
a = str(a)
type(a)## <class 'str'>
R code for demonstration
dist <- rnorm(n = 1000, mean = 100, sd = 10)
hist(dist)boxplot(dist)pie(dist)plot(dist, type = 'l')All 5 options print the element ‘l’ from ‘Hello’ string.
In Python
Indexing starts from 0 from Left side. Indexing from right side starts from -1.
Therefore indices for following string would be
#Python indexing
# 0 1 2 3 4
# H E L L O
# -5 -4 -3 -2 -1Code demonstration
Name = "Hello"
print(Name[3])## l
print(Name[-2])## l
print(Name[-3])## l
print(Name[-1-1-1])## l
print(Name[1+1])## l
dotchart(iris$Sepal.Width[1:30], pch = 17)
abline(v = 3) # Four flowers having same sepal width (3) are not overlappingdist <- rnorm(n = 1000, mean = 100, sd = 10)
library("vioplot")
vioplot(dist) # Includes Histogram + BoxplotOutput of following Python code
import numpy as np
def loop(input_list):
loop_list = [0, 0, 0, 0]
for i in range(1, len(input_list)):
if i < 4:
loop_list[i-1] = input_list[i] - input_list[i-1]
return(loop_list)
input_list1 = [10, 20, 30, 40]
input_list2 = [2, 4, 15]
output = []
try:
output = np.divide(input_list1, input_list2)
print("1")
except:
print("2")
input_list2.append(20)
output = np.divide(input_list1, input_list2)
if output[-2] == 2:
print(output[3])
print(loop(output))
else:
loop(input_list1)
finally:
print("4")## 2
## 2.0
## [0.0, -3.0, 0.0, 0]
## 4
print(output)## [5. 5. 2. 2.]
| Line no. | i | loop_list | output | input_list1 | input_list2 | input_list |
|---|---|---|---|---|---|---|
| 10 | [10, 20, 30, 40 ] | |||||
| 11 | [10, 20, 30, 40 ] | [2, 4, 15 ] | ||||
| 12 | [ ] | [10, 20, 30, 40 ] | [2, 4, 15 ] | |||
| 19 | [ ] | [10, 20, 30, 40 ] | [2, 4, 15, 20 ] | |||
| 20 | [ 5.0, 5.0, 2.0, 2.0 ] | [10, 20, 30, 40 ] | [2, 4, 15, 20 ] | |||
| 3 | [ 5.0, 5.0, 2.0, 2.0 ] | [10, 20, 30, 40 ] | [2, 4, 15, 20 ] | [ 5.0, 5.0, 2.0, 2.0 ] | ||
| 4 | [ 0, 0, 0, 0 ] | [ 5.0, 5.0, 2.0, 2.0 ] | [10, 20, 30, 40 ] | [2, 4, 15, 20 ] | [ 5.0, 5.0, 2.0, 2.0 ] | |
| 5 | 1 | [ 0, 0, 0, 0 ] | [ 5.0, 5.0, 2.0, 2.0 ] | [10, 20, 30, 40 ] | [2, 4, 15, 20 ] | [ 5.0, 5.0, 2.0, 2.0 ] |
| 7 | 1 | [ 0.0, 0, 0, 0 ] | [ 5.0, 5.0, 2.0, 2.0 ] | [10, 20, 30, 40 ] | [2, 4, 15, 20 ] | [ 5.0, 5.0, 2.0, 2.0 ] |
| 5 | 2 | [ 0.0, 0, 0, 0 ] | [ 5.0, 5.0, 2.0, 2.0 ] | [10, 20, 30, 40 ] | [2, 4, 15, 20 ] | [ 5.0, 5.0, 2.0, 2.0 ] |
| 7 | 2 | [ 0.0, -3.0, 0, 0 ] | [ 5.0, 5.0, 2.0, 2.0 ] | [10, 20, 30, 40 ] | [2, 4, 15, 20 ] | [ 5.0, 5.0, 2.0, 2.0 ] |
| 5 | 3 | [ 0.0, -3.0, 0, 0 ] | [ 5.0, 5.0, 2.0, 2.0 ] | [10, 20, 30, 40 ] | [2, 4, 15, 20 ] | [ 5.0, 5.0, 2.0, 2.0 ] |
| 7 | 3 | [ 0.0, -3.0, 0.0, 0 ] | [ 5.0, 5.0, 2.0, 2.0 ] | [10, 20, 30, 40 ] | [2, 4, 15, 20 ] | [ 5.0, 5.0, 2.0, 2.0 ] |