Input − Assume, you have the following series, 0    1 1    2 2    3 3    4 4    5The above series contains no duplicate elements. Let’s verify using the following approaches.Solution 1Assume, you have a series with duplicate elements0    1 1    2 2    3 3    4 4    5 5    3Set if condition to check the length of the series is equal to the unique array series length or not. It is defined below, if(len(data)==len(np.unique(data))):    print("no duplicates") else:    print("duplicates found")Exampleimport pandas as pd import numpy as np data = ... Read More

Input − Assume you have the following series −0    1 1    2 2    python 3    pandas 4    3 5    4 6    5Output − The result for only integer elements are −0    1 1    2 4    3 5    4 6    5Solution 1Define a Series.Apply lambda filter method inside a regular expression to validate digits and expression accepts only strings so convert all the elements into strings. It is defined below,    data = pd.Series(ls)    result = pd.Series(filter(lambda x:re.match(r"\d+", str(x)), data))Finally, check the values using the isin() function.ExampleLet us ... Read More

Input − Assume, you have a Series, 0    1 1    2 2    3 3    4 4    5Output −And, the result after replacing odd index with uppercase vowels as follows −0    1 1    A 2    3 3    U 4    5SolutionDefine a Series.Define uppercase alphabetsCreate lambda filter method and replace vowels in all index positions. It is defined belowvowels = re.findall(r'[AEIOU]', chars) result = pd.Series(filter(lambda x: r.choice(vowels) if(x%2!=0), l)data)Exampleimport pandas as pd import random as r l = [1, 2, 3, 4, 5] data = pd.Series(l) print(“Given series:”, data) vowels = list("AEIOU") ... Read More

Input − Assume, we have a Series, 0 2010-03-12 1 2011-3-1 2 2020-10-10 3 11-2-2Output − And, the result for valid dates in a series is, 0 2010-03-12 2 2020-10-10Solution 1Define a Series.Apply lambda filter method to validate a pattern in a series, data = pd.Series(l) result = pd.Series(filter(lambda x:re.match(r"\d{4}\W\d{2}\W\d{2}", x), data))Finally, check the result to the series using the isin() function.ExampleLet us see the following implementation to get a better understanding.import pandas as pd import re l = ['2010-03-12', '2011-3-1', '2020-10-10', '11-2-2'] data = pd.Series(l) for i, j in data.items():    if(re.match(r"\d{4}\W\d{2}\W\d{2}", j)):       print(i, j)Output0   ... Read More

Solution 1Define lowercase alphabets in a list.Create for loop and find the even index elements and add it to another list. It is defined below   ls = []    for i in l:       if(l.index(i)%2==0):          ls.append(i)Finally, apply random sample 5 values to the list and generate a series.Exampleimport pandas as pd import string import random as r chars = string.ascii_lowercase print("lowercase alphabets are:-", chars) chars_list = list(chars) data = r.sample(chars_list[::2], 5) print("random even index char's are:-", data) result = pd.Series(data) print("Series:", result)Outputlowercase alphabets are:- abcdefghijklmnopqrstuvwxyz random even index char's are:- ['w', 'k', 'i', 'u', ... Read More

Input −Assume you have a series, 0    14 1    16 2    30 3    49 4    80Output −The result for perfect square elements are, 0    4 1    16 3    49Solution 1We can use regular expression and lambda function filter method to find the perfect square values.Define a Series.Apply lambda filter method to check the value is a perfect square or not. It is defined below,    l = [14, 16, 30, 49, 80]    data=pd.Series([14, 16, 30, 49, 80])    result =pd.Series(filter(lambda x: x==int(m.sqrt(x)+0.5)**2, l))Finally, check the list of values to the series ... Read More

Input − Assume you have a series, 0       fruits!! 1       *cakes* 2       $nuts 3       #drinks dtype: objectInput − The result for the total number of counts for more than one special character in a series is 2.Let us try to find different solutions to this question.Solution 1To solve this, we will follow the steps given below −Define a SeriesCreate special characters list of values.Set the initial value of special character and total special char count value as 0.Create a for loop and access all the values in the ... Read More

To create reverse of a number, we can use stri_reverse function of stringi package. For example, if we have a vector called x that contain some numbers then the reverse of these numbers will be generated by using the command stri_reverse(x). But the output will be in character form, if we want to have numeric values then as.numeric function can be used.library(stringi)Example Live Demox1

To create combination of multiple vectors, we can use expand.grid function. For example, if we have six vectors say x, y, z, a, b, and c then the combination of vectors can be created by using the command expand.grid(x,y,z,a,b,c).Example Live Demox1

If we have a character column in an R data frame then we might want to check whether a particular value exist in the column or not. For example, if we have a gender column then we might want to check whether transgender exists in that column or not. This can be done with the help of grepl function. Check out the below examples to understand how it works.Consider the below data frame −Example Live Demox