reverse the given array in c language

#include <stdio.h>

#include <stdlib.h>

int main()

{

    int num, *arr, i;

    scanf("%d", &num);

    arr = (int*) malloc(num * sizeof(int));

    for(i = 0; i < num; i++) {

        scanf("%d", arr + i);

    }

    /* Write the logic to reverse the array. */

    for(i = num-1; i>-1; i--)

        printf("%d ", *(arr + i));

    return 0;

}

output:

• 6

• 16 13 7 2 1 12 

• 12 1 2 7 13 16

how to print the range between two numbers in text format

int main() 

{

    int a, b;

    char *str[] = {"one", "two", "three", "four", "five", "six", "seven",  "eight",  "nine", "even", "odd"};

    scanf("%d\n%d", &a, &b);

    // Complete the code.

         

  for (int i=a; i<=b; i++) {

    if (i <= 9) 

         printf ("%s\n", str[i-1]);

    else 

        printf ("%s\n", str[9+(i%2)]);

  }

  return 0;

}

output:

input:

8

11

output:

eight

nine

even

odd

3d plotting for matplot li

from mpl_toolkits.mplot3d import axes3d
import matplotlib.pyplot as plt
import numpy as np
fig = plt.figure()
ax1 = plt.axes(projection='3d')
a = [4,2,5,7,8,2,9,3,7,8]
b = [5,6,7,8,2,5,6,3,7,2]
c = np.zeros(10)
x = np.ones(10)
y = np.ones(10)
z = [5,3,7,4,8,2,4,8,9,1]
ax1.bar3d(a, b, c, x, y, z, color = 'cyan')
ax1.set_xlabel('x axis')
ax1.set_ylabel('y axis')
ax1.set_zlabel('z axis')
plt.show()

In [ ]:

In [ ]:

lollipop plot using seaborn library with python

# libraries
import pandas as pd
import matplotlib.pyplot as plt
import numpy as np
 
# Create a dataframe
df = pd.DataFrame({'group':list(map(chr, range(65, 85))), 'values':np.random.uniform(size=20) })
 
# Reorder it following the values:
ordered_df = df.sort_values(by='values')
my_range=range(1,len(df.index)+1)
 
# The vertival plot is made using the hline function
# I load the seaborn library only to benefit the nice looking feature
import seaborn as sns
plt.hlines(y=my_range, xmin=0, xmax=ordered_df['values'], color='skyblue')
plt.plot(ordered_df['values'], my_range, "o")
 
# Add titles and axis names
plt.yticks(my_range, ordered_df['group'])
plt.title("A vertical lolipop plot", loc='left')
plt.xlabel('Value of the variable')
plt.ylabel('Group')

Out[2]:

Text(0, 0.5, 'Group')

In [7]:

# libraries
import pandas as pd
import matplotlib.pyplot as plt
import numpy as np
 
# Create a dataframe
df = pd.DataFrame({'group':list(map(chr, range(65, 85))), 'values':np.random.uniform(size=20) })
 
# Reorder it following the values:
ordered_df = df.sort_values(by='values')
my_range=range(1,len(df.index)+1)
 
# The vertival plot is made using the hline function
# I load the seaborn library only to benefit the nice looking feature
import seaborn as sns
plt.hlines(y=my_range, xmin=0, xmax=ordered_df['values'], color='blue')
plt.plot(ordered_df['values'], my_range, "o")
 
# Add titles and axis names
plt.yticks(my_range, ordered_df['group'])
plt.title("A vertical lolipop plot", loc='left')
plt.xlabel('Value of the variable')
plt.ylabel('Group')

Out[7]:

Text(0, 0.5, 'Group')

In [ ]: