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|---|---|---|
Write a NumPy program to repeat elements of an array. | import numpy as np
x = np.repeat(3, 4)
print(x)
x = np.array([[1,2],[3,4]])
print(np.repeat(x, 2))
| 0 |
Write a Python function to create and print a list where the values are square of numbers between 1 and 30 (both included). | def printValues():
l = list()
for i in range(1,31):
l.append(i**2)
print(l)
printValues()
| 1 |
Write a Python program to remove duplicates from a list of lists. | import itertools
num = [[10, 20], [40], [30, 56, 25], [10, 20], [33], [40]]
print("Original List", num)
num.sort()
new_num = list(num for num,_ in itertools.groupby(num))
print("New List", new_num)
| 2 |
Write a NumPy program to compute the x and y coordinates for points on a sine curve and plot the points using matplotlib. | import numpy as np
import matplotlib.pyplot as plt
# Compute the x and y coordinates for points on a sine curve
x = np.arange(0, 3 * np.pi, 0.2)
y = np.sin(x)
print("Plot the points using matplotlib:")
plt.plot(x, y)
plt.show()
| 3 |
Write a Python program to alter a given SQLite table. | import sqlite3
from sqlite3 import Error
def sql_connection():
try:
conn = sqlite3.connect('mydatabase.db')
return conn
except Error:
print(Error)
def sql_table(conn):
cursorObj = conn.cursor()
cursorObj.execute("CREATE TABLE agent_master(agent_code char(6),agent_name char(40),working_area char(35),commission decimal(10,2),phone_no char(15) NULL);")
print("\nagent_master file has created.")
# adding a new column in the agent_master table
cursorObj.execute("""
ALTER TABLE agent_master
ADD COLUMN FLAG BOOLEAN;
""")
print("\nagent_master file altered.")
conn.commit()
sqllite_conn = sql_connection()
sql_table(sqllite_conn)
if (sqllite_conn):
sqllite_conn.close()
print("\nThe SQLite connection is closed.")
| 4 |
Write a Python program to extract specified size of strings from a give list of string values using lambda. | def extract_string(str_list1, l):
result = list(filter(lambda e: len(e) == l, str_list1))
return result
str_list1 = ['Python', 'list', 'exercises', 'practice', 'solution']
print("Original list:")
print(str_list1)
l = 8
print("\nlength of the string to extract:")
print(l)
print("\nAfter extracting strings of specified length from the said list:")
print(extract_string(str_list1 , l))
| 5 |
Write a Python program to create Fibonacci series upto n using Lambda. | from functools import reduce
fib_series = lambda n: reduce(lambda x, _: x+[x[-1]+x[-2]],
range(n-2), [0, 1])
print("Fibonacci series upto 2:")
print(fib_series(2))
print("\nFibonacci series upto 5:")
print(fib_series(5))
print("\nFibonacci series upto 6:")
print(fib_series(6))
print("\nFibonacci series upto 9:")
print(fib_series(9))
| 6 |
Write a Python program to sort unsorted numbers using Strand sort. | #Ref:https://bit.ly/3qW9FIX
import operator
def strand_sort(arr: list, reverse: bool = False, solution: list = None) -> list:
_operator = operator.lt if reverse else operator.gt
solution = solution or []
if not arr:
return solution
sublist = [arr.pop(0)]
for i, item in enumerate(arr):
if _operator(item, sublist[-1]):
sublist.append(item)
arr.pop(i)
# merging sublist into solution list
if not solution:
solution.extend(sublist)
else:
while sublist:
item = sublist.pop(0)
for i, xx in enumerate(solution):
if not _operator(item, xx):
solution.insert(i, item)
break
else:
solution.append(item)
strand_sort(arr, reverse, solution)
return solution
lst = [4, 3, 5, 1, 2]
print("\nOriginal list:")
print(lst)
print("After applying Strand sort the said list becomes:")
print(strand_sort(lst))
lst = [5, 9, 10, 3, -4, 5, 178, 92, 46, -18, 0, 7]
print("\nOriginal list:")
print(lst)
print("After applying Strand sort the said list becomes:")
print(strand_sort(lst))
lst = [1.1, 1, 0, -1, -1.1, .1]
print("\nOriginal list:")
print(lst)
print("After applying Strand sort the said list becomes:")
print(strand_sort(lst))
| 7 |
Write a Python program to insert a specified element in a given list after every nth element. | def inset_element_list(lst, x, n):
i = n
while i < len(lst):
lst.insert(i, x)
i+= n+1
return lst
nums = [1, 3, 5, 7, 9, 11,0, 2, 4, 6, 8, 10,8,9,0,4,3,0]
print("Original list:")
print(nums)
x = 20
n = 4
print("\nInsert",x,"in said list after every",n,"th element:")
print(inset_element_list(nums, x, n))
chars = ['s','d','f','j','s','a','j','d','f','d']
print("\nOriginal list:")
print(chars)
x = 'Z'
n = 3
print("\nInsert",x,"in said list after every",n,"th element:")
print(inset_element_list(chars, x, n))
| 8 |
rite a Pandas program to create a Pivot table and find the maximum and minimum sale value of the items. | import pandas as pd
import numpy as np
df = pd.read_excel('E:\SaleData.xlsx')
table = pd.pivot_table(df, index='Item', values='Sale_amt', aggfunc=[np.max, np.min])
print(table)
| 9 |
Write a NumPy program to extract upper triangular part of a NumPy matrix. | import numpy as np
num = np.arange(18)
arr1 = np.reshape(num, [6, 3])
print("Original array:")
print(arr1)
result = arr1[np.triu_indices(3)]
print("\nExtract upper triangular part of the said array:")
print(result)
result = arr1[np.triu_indices(2)]
print("\nExtract upper triangular part of the said array:")
print(result)
| 10 |
Write a Python program to find the maximum occurring character in a given string. | def get_max_occuring_char(str1):
ASCII_SIZE = 256
ctr = [0] * ASCII_SIZE
max = -1
ch = ''
for i in str1:
ctr[ord(i)]+=1;
for i in str1:
if max < ctr[ord(i)]:
max = ctr[ord(i)]
ch = i
return ch
print(get_max_occuring_char("Python: Get file creation and modification date/times"))
print(get_max_occuring_char("abcdefghijkb"))
| 11 |
Write a Python program to find whether a given number (accept from the user) is even or odd, print out an appropriate message to the user. | num = int(input("Enter a number: "))
mod = num % 2
if mod > 0:
print("This is an odd number.")
else:
print("This is an even number.") | 12 |
Write a NumPy program to create a new vector with 2 consecutive 0 between two values of a given vector. | import numpy as np
nums = np.array([1,2,3,4,5,6,7,8])
print("Original array:")
print(nums)
p = 2
new_nums = np.zeros(len(nums) + (len(nums)-1)*(p))
new_nums[::p+1] = nums
print("\nNew array:")
print(new_nums)
| 13 |
Write a Python program to count the occurrences of each word in a given sentence. | def word_count(str):
counts = dict()
words = str.split()
for word in words:
if word in counts:
counts[word] += 1
else:
counts[word] = 1
return counts
print( word_count('the quick brown fox jumps over the lazy dog.'))
| 14 |
Write a Python program that accepts a hyphen-separated sequence of words as input and prints the words in a hyphen-separated sequence after sorting them alphabetically. | items=[n for n in input().split('-')]
items.sort()
print('-'.join(items))
| 15 |
Write a Pandas program to insert a column at a specific index in a given DataFrame. | import pandas as pd
df = pd.DataFrame({
'school_code': ['s001','s002','s003','s001','s002','s004'],
'class': ['V', 'V', 'VI', 'VI', 'V', 'VI'],
'name': ['Alberto Franco','Gino Mcneill','Ryan Parkes', 'Eesha Hinton', 'Gino Mcneill', 'David Parkes'],
'weight': [35, 32, 33, 30, 31, 32]},
index = [1, 2, 3, 4, 5, 6])
print("Original DataFrame with single index:")
print(df)
date_of_birth = ['15/05/2002','17/05/2002','16/02/1999','25/09/1998','11/05/2002','15/09/1997']
idx = 3
print("\nInsert 'date_of_birth' column in 3rd position of the said DataFrame:")
df.insert(loc=idx, column='date_of_birth', value=date_of_birth)
print(df)
| 16 |
Write a Python program to remove the last N number of elements from a given list. | def remove_last_n(nums, N):
result = nums[:len(nums)-N]
return result
nums = [2,3,9,8,2,0,39,84,2,2,34,2,34,5,3,5]
print("Original lists:")
print(nums)
N = 3
print("\nRemove the last",N,"elements from the said list:")
print(remove_last_n(nums, N))
N = 5
print("\nRemove the last",N,"elements from the said list:")
print(remove_last_n(nums, N))
N = 1
print("\nRemove the last",N,"element from the said list:")
print(remove_last_n(nums, N))
| 17 |
Write a Python program to find index position and value of the maximum and minimum values in a given list of numbers using lambda. | def position_max_min(nums):
max_result = max(enumerate(nums), key=(lambda x: x[1]))
min_result = min(enumerate(nums), key=(lambda x: x[1]))
return max_result,min_result
nums = [12,33,23,10.11,67,89,45,66.7,23,12,11,10.25,54]
print("Original list:")
print(nums)
result = position_max_min(nums)
print("\nIndex position and value of the maximum value of the said list:")
print(result[0])
print("\nIndex position and value of the minimum value of the said list:")
print(result[1])
| 18 |
Write a NumPy program to find the k smallest values of a given NumPy array. | import numpy as np
array1 = np.array([1, 7, 8, 2, 0.1, 3, 15, 2.5])
print("Original arrays:")
print(array1)
k = 4
result = np.argpartition(array1, k)
print("\nk smallest values:")
print(array1[result[:k]])
| 19 |
Write a NumPy program to add one polynomial to another, subtract one polynomial from another, multiply one polynomial by another and divide one polynomial by another. | from numpy.polynomial import polynomial as P
x = (10,20,30)
y = (30,40,50)
print("Add one polynomial to another:")
print(P.polyadd(x,y))
print("Subtract one polynomial from another:")
print(P.polysub(x,y))
print("Multiply one polynomial by another:")
print(P.polymul(x,y))
print("Divide one polynomial by another:")
print(P.polydiv(x,y))
| 20 |
Write a Python program to check common elements between two given list are in same order or not. | def same_order(l1, l2):
common_elements = set(l1) & set(l2)
l1 = [e for e in l1 if e in common_elements]
l2 = [e for e in l2 if e in common_elements]
return l1 == l2
color1 = ["red","green","black","orange"]
color2 = ["red","pink","green","white","black"]
color3 = ["white","orange","pink","black"]
print("Original lists:")
print(color1)
print(color2)
print(color3)
print("\nTest common elements between color1 and color2 are in same order?")
print(same_order(color1, color2))
print("\nTest common elements between color1 and color3 are in same order?")
print(same_order(color1, color3))
print("\nTest common elements between color2 and color3 are in same order?")
print(same_order(color2, color3))
| 21 |
Write a Python program to find numbers divisible by nineteen or thirteen from a list of numbers using Lambda. | nums = [19, 65, 57, 39, 152, 639, 121, 44, 90, 190]
print("Orginal list:")
print(nums)
result = list(filter(lambda x: (x % 19 == 0 or x % 13 == 0), nums))
print("\nNumbers of the above list divisible by nineteen or thirteen:")
print(result)
| 22 |
Write a NumPy program to multiply two given arrays of same size element-by-element. | import numpy as np
nums1 = np.array([[2, 5, 2],
[1, 5, 5]])
nums2 = np.array([[5, 3, 4],
[3, 2, 5]])
print("Array1:")
print(nums1)
print("Array2:")
print(nums2)
print("\nMultiply said arrays of same size element-by-element:")
print(np.multiply(nums1, nums2))
| 23 |
Write a Python program to get a list, sorted in increasing order by the last element in each tuple from a given list of non-empty tuples. | def last(n): return n[-1]
def sort_list_last(tuples):
return sorted(tuples, key=last)
print(sort_list_last([(2, 5), (1, 2), (4, 4), (2, 3), (2, 1)]))
| 24 |
Write a Pandas program to replace the missing values with the most frequent values present in each column of a given DataFrame. | import pandas as pd
import numpy as np
pd.set_option('display.max_rows', None)
#pd.set_option('display.max_columns', None)
df = pd.DataFrame({
'ord_no':[70001,np.nan,70002,70004,np.nan,70005,np.nan,70010,70003,70012,np.nan,70013],
'purch_amt':[150.5,np.nan,65.26,110.5,948.5,np.nan,5760,1983.43,np.nan,250.45, 75.29,3045.6],
'sale_amt':[10.5,20.65,np.nan,11.5,98.5,np.nan,57,19.43,np.nan,25.45, 75.29,35.6],
'ord_date': ['2012-10-05','2012-09-10',np.nan,'2012-08-17','2012-09-10','2012-07-27','2012-09-10','2012-10-10','2012-10-10','2012-06-27','2012-08-17','2012-04-25'],
'customer_id':[3002,3001,3001,3003,3002,3001,3001,3004,3003,3002,3001,3001],
'salesman_id':[5002,5003,5001,np.nan,5002,5001,5001,np.nan,5003,5002,5003,np.nan]})
print("Original Orders DataFrame:")
print(df)
print("\nReplace the missing values with the most frequent values present in each column:")
result = df.fillna(df.mode().iloc[0])
print(result)
| 25 |
Write a NumPy program to split an array of 14 elements into 3 arrays, each of which has 2, 4, and 8 elements in the original order. | import numpy as np
x = np.arange(1, 15)
print("Original array:",x)
print("After splitting:")
print(np.split(x, [2, 6]))
| 26 |
Write a Python program to create a deep copy of a given dictionary. Use copy.copy | import copy
nums_x = {"a":1, "b":2, 'cc':{"c":3}}
print("Original dictionary: ", nums_x)
nums_y = copy.deepcopy(nums_x)
print("\nDeep copy of the said list:")
print(nums_y)
print("\nChange the value of an element of the original dictionary:")
nums_x["cc"]["c"] = 10
print(nums_x)
print("\nSecond dictionary (Deep copy):")
print(nums_y)
nums = {"x":1, "y":2, 'zz':{"z":3}}
nums_copy = copy.deepcopy(nums)
print("\nOriginal dictionary :")
print(nums)
print("\nDeep copy of the said list:")
print(nums_copy)
print("\nChange the value of an element of the original dictionary:")
nums["zz"]["z"] = 10
print("\nFirst dictionary:")
print(nums)
print("\nSecond dictionary (Deep copy):")
print(nums_copy)
| 27 |
Write a Pandas program to create a subset of a given series based on value and condition. | import pandas as pd
s = pd.Series([0, 1,2,3,4,5,6,7,8,9,10])
print("Original Data Series:")
print(s)
print("\nSubset of the above Data Series:")
n = 6
new_s = s[s < n]
print(new_s)
| 28 |
Write a Python program to get the items from a given list with specific condition. | def first_index(l1):
return sum(1 for i in l1 if (i> 45 and i % 2 == 0))
nums = [12,45,23,67,78,90,45,32,100,76,38,62,73,29,83]
print("Original list:")
print(nums)
n = 45
print("\nNumber of Items of the said list which are even and greater than",n)
print(first_index(nums))
| 29 |
Write a Python program to read a file line by line store it into a variable. | def file_read(fname):
with open (fname, "r") as myfile:
data=myfile.readlines()
print(data)
file_read('test.txt')
| 30 |
Write a Python program to get the current value of the recursion limit. | import sys
print()
print("Current value of the recursion limit:")
print(sys.getrecursionlimit())
print()
| 31 |
Write a Python program to swap cases of a given string. | def swap_case_string(str1):
result_str = ""
for item in str1:
if item.isupper():
result_str += item.lower()
else:
result_str += item.upper()
return result_str
print(swap_case_string("Python Exercises"))
print(swap_case_string("Java"))
print(swap_case_string("NumPy"))
| 32 |
Write a Python program to convert an address (like "1600 Amphitheatre Parkway, Mountain View, CA") into geographic coordinates (like latitude 37.423021 and longitude -122.083739). | import requests
geo_url = 'http://maps.googleapis.com/maps/api/geocode/json'
my_address = {'address': '21 Ramkrishana Road, Burdwan, East Burdwan, West Bengal, India',
'language': 'en'}
response = requests.get(geo_url, params = my_address)
results = response.json()['results']
my_geo = results[0]['geometry']['location']
print("Longitude:",my_geo['lng'],"\n","Latitude:",my_geo['lat'])
| 33 |
Write a Python program to create a datetime from a given timezone-aware datetime using arrow module. | import arrow
from datetime import datetime
from dateutil import tz
print("\nCreate a date from a given date and a given time zone:")
d1 = arrow.get(datetime(2018, 7, 5), 'US/Pacific')
print(d1)
print("\nCreate a date from a given date and a time zone object from a string representation:")
d2 = arrow.get(datetime(2017, 7, 5), tz.gettz('America/Chicago'))
print(d2)
d3 = arrow.get(datetime.now(tz.gettz('US/Pacific')))
print("\nCreate a date using current datetime and a specified time zone:")
print(d3)
| 34 |
Write a Python program to create a two-dimensional list from given list of lists. | def two_dimensional_list(nums):
return list(zip(*nums))
print(two_dimensional_list([[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]]))
print(two_dimensional_list([[1, 2], [4, 5]]))
| 35 |
Write a Python program to invert a dictionary with unique hashable values. | def test(students):
return { value: key for key, value in students.items() }
students = {
'Theodore': 10,
'Mathew': 11,
'Roxanne': 9,
}
print(test(students))
| 36 |
Write a NumPy program to access last two columns of a multidimensional columns. | import numpy as np
arra = np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]])
print(arra)
result = arra[:,[1,2]]
print(result)
| 37 |
Write a Python program to create Cartesian product of two or more given lists using itertools. | import itertools
def cartesian_product(lists):
return list(itertools.product(*lists))
ls = [[1,2],[3,4]]
print("Original Lists:",ls)
print("Cartesian product of the said lists: ",cartesian_product(ls))
ls = [[1,2,3],[3,4,5]]
print("\nOriginal Lists:",ls)
print("Cartesian product of the said lists: ",cartesian_product(ls))
ls = [[],[1,2,3]]
print("\nOriginal Lists:",ls)
print("Cartesian product of the said lists: ",cartesian_product(ls))
ls = [[1,2],[]]
print("\nOriginal Lists:",ls)
print("Cartesian product of the said lists: ",cartesian_product(ls))
| 38 |
Write a NumPy program to find the first Monday in May 2017. | import numpy as np
print("First Monday in May 2017:")
print(np.busday_offset('2017-05', 0, roll='forward', weekmask='Mon'))
| 39 |
Write a Python program to get the number of people visiting a U.S. government website right now. | #https://bit.ly/2lVhlLX
import requests
from lxml import html
url = 'https://www.us-cert.gov/ncas/alerts'
doc = html.fromstring(requests.get(url).text)
print("The number of security alerts issued by US-CERT in the current year:")
print(len(doc.cssselect('.item-list li')))
| 40 |
Write a NumPy program to remove the leading and trailing whitespaces of all the elements of a given array. | import numpy as np
x = np.array([' python exercises ', ' PHP ', ' java ', ' C++'], dtype=np.str)
print("Original Array:")
print(x)
stripped = np.char.strip(x)
print("\nRemove the leading and trailing whitespaces: ", stripped)
| 41 |
Write a Python program to find the first repeated character of a given string where the index of first occurrence is smallest. | def first_repeated_char_smallest_distance(str1):
temp = {}
for ch in str1:
if ch in temp:
return ch, str1.index(ch);
else:
temp[ch] = 0
return 'None'
print(first_repeated_char_smallest_distance("abcabc"))
print(first_repeated_char_smallest_distance("abcb"))
print(first_repeated_char_smallest_distance("abcc"))
print(first_repeated_char_smallest_distance("abcxxy"))
print(first_repeated_char_smallest_distance("abc"))))
| 42 |
Write a Python program to create a table and insert some records in that table. Finally selects all rows from the table and display the records. | import sqlite3
from sqlite3 import Error
def sql_connection():
try:
conn = sqlite3.connect('mydatabase.db')
return conn
except Error:
print(Error)
def sql_table(conn):
cursorObj = conn.cursor()
# Create the table
cursorObj.execute("CREATE TABLE salesman(salesman_id n(5), name char(30), city char(35), commission decimal(7,2));")
# Insert records
cursorObj.executescript("""
INSERT INTO salesman VALUES(5001,'James Hoog', 'New York', 0.15);
INSERT INTO salesman VALUES(5002,'Nail Knite', 'Paris', 0.25);
INSERT INTO salesman VALUES(5003,'Pit Alex', 'London', 0.15);
INSERT INTO salesman VALUES(5004,'Mc Lyon', 'Paris', 0.35);
INSERT INTO salesman VALUES(5005,'Paul Adam', 'Rome', 0.45);
""")
conn.commit()
cursorObj.execute("SELECT * FROM salesman")
rows = cursorObj.fetchall()
print("Agent details:")
for row in rows:
print(row)
sqllite_conn = sql_connection()
sql_table(sqllite_conn)
if (sqllite_conn):
sqllite_conn.close()
print("\nThe SQLite connection is closed.")
| 43 |
Write a Pandas program to calculate the number of characters in each word in a given series. | import pandas as pd
series1 = pd.Series(['Php', 'Python', 'Java', 'C#'])
print("Original Series:")
print(series1)
result = series1.map(lambda x: len(x))
print("\nNumber of characters in each word in the said series:")
print(result)
| 44 |
Write a NumPy program to broadcast on different shapes of arrays where p(3,3) + q(3). | import numpy as np
p = np.array([[0, 0, 0],
[1, 2, 3],
[4, 5, 6]])
q= np.array([10, 11, 12])
print("Original arrays:")
print("Array-1")
print(p)
print("Array-2")
print(q)
print("\nNew Array:")
new_array1 = p + q
print(new_array1)
| 45 |
Write a Python program to check if a given function returns True for at least one element in the list. | def some(lst, fn = lambda x: x):
return any(map(fn, lst))
print(some([0, 1, 2, 0], lambda x: x >= 2 ))
print(some([5, 10, 20, 10], lambda x: x < 2 ))
| 46 |
Write a NumPy program to create an array using generator function that generates 15 integers. | import numpy as np
def generate():
for n in range(15):
yield n
nums = np.fromiter(generate(),dtype=float,count=-1)
print("New array:")
print(nums)
| 47 |
Write a Python program to find four elements from a given array of integers whose sum is equal to a given number. The solution set must not contain duplicate quadruplets. | #Source: https://bit.ly/2SSoyhf
from bisect import bisect_left
class Solution:
def fourSum(self, nums, target):
"""
:type nums: List[int]
:type target: int
:rtype: List[List[int]]
"""
N = 4
quadruplets = []
if len(nums) < N:
return quadruplets
nums = sorted(nums)
quadruplet = []
# Let top[i] be the sum of largest i numbers.
top = [0]
for i in range(1, N):
top.append(top[i - 1] + nums[-i])
# Find range of the least number in curr_n (0,...,N)
# numbers that sum up to curr_target, then find range
# of 2nd least number and so on by recursion.
def sum_(curr_target, curr_n, lo=0):
if curr_n == 0:
if curr_target == 0:
quadruplets.append(quadruplet[:])
return
next_n = curr_n - 1
max_i = len(nums) - curr_n
max_i = bisect_left(
nums, curr_target // curr_n,
lo, max_i)
min_i = bisect_left(
nums, curr_target - top[next_n],
lo, max_i)
for i in range(min_i, max_i + 1):
if i == min_i or nums[i] != nums[i - 1]:
quadruplet.append(nums[i])
next_target = curr_target - nums[i]
sum_(next_target, next_n, i + 1)
quadruplet.pop()
sum_(target, N)
return quadruplets
s = Solution()
nums = [-2, -1, 1, 2, 3, 4, 5, 6]
target = 10
result = s.fourSum(nums, target)
print("\nArray values & target value:",nums,"&",target)
print("Solution Set:\n", result)
| 48 |
Write a Python program to extract specified size of strings from a give list of string values. | def extract_string(str_list1, l):
result = [e for e in str_list1 if len(e) == l]
return result
str_list1 = ['Python', 'list', 'exercises', 'practice', 'solution']
print("Original list:")
print(str_list1)
l = 8
print("\nlength of the string to extract:")
print(l)
print("\nAfter extracting strings of specified length from the said list:")
print(extract_string(str_list1 , l))
| 49 |
Write a Python program to count the number of times a specific element presents in a deque object. | import collections
nums = (2,9,0,8,2,4,0,9,2,4,8,2,0,4,2,3,4,0)
nums_dq = collections.deque(nums)
print("Number of 2 in the sequence")
print(nums_dq.count(2))
print("Number of 4 in the sequence")
print(nums_dq.count(4))
| 50 |
Write a Pandas program to check the empty values of UFO (unidentified flying object) Dataframe. | import pandas as pd
df = pd.read_csv(r'ufo.csv')
print(df.isnull().sum())
| 51 |
Create a dataframe of ten rows, four columns with random values. Write a Pandas program to make a gradient color on all the values of the said dataframe. | import pandas as pd
import numpy as np
import seaborn as sns
np.random.seed(24)
df = pd.DataFrame({'A': np.linspace(1, 10, 10)})
df = pd.concat([df, pd.DataFrame(np.random.randn(10, 4), columns=list('BCDE'))],
axis=1)
print("Original array:")
print(df)
print("\nDataframe - Gradient color:")
df.style.background_gradient()
| 52 |
Write a Python program to find the difference between consecutive numbers in a given list. | def diff_consecutive_nums(nums):
result = [b-a for a, b in zip(nums[:-1], nums[1:])]
return result
nums1 = [1, 1, 3, 4, 4, 5, 6, 7]
print("Original list:")
print(nums1)
print("Difference between consecutive numbers of the said list:")
print(diff_consecutive_nums(nums1))
nums2 = [4, 5, 8, 9, 6, 10]
print("\nOriginal list:")
print(nums2)
print("Difference between consecutive numbers of the said list:")
print(diff_consecutive_nums(nums2))
| 53 |
Write a Pandas program to extract only words from a given column of a given DataFrame. | import pandas as pd
import re as re
df = pd.DataFrame({
'company_code': ['Abcd','EFGF', 'zefsalf', 'sdfslew', 'zekfsdf'],
'date_of_sale': ['12/05/2002','16/02/1999','05/09/1998','12/02/2022','15/09/1997'],
'address': ['9910 Surrey Ave.','92 N. Bishop Ave.','9910 Golden Star Ave.', '102 Dunbar St.', '17 West Livingston Court']
})
print("Original DataFrame:")
print(df)
def search_words(text):
result = re.findall(r'\b[^\d\W]+\b', text)
return " ".join(result)
df['only_words']=df['address'].apply(lambda x : search_words(x))
print("\nOnly words:")
print(df)
| 54 |
Write a Python program to replace hour, minute, day, month, year and timezone with specified value of current datetime using arrow. | import arrow
a = arrow.utcnow()
print("Current date and time:")
print(a)
print("\nReplace hour and minute with 5 and 35:")
print(a.replace(hour=5, minute=35))
print("\nReplace day with 2:")
print(a.replace(day=2))
print("\nReplace year with 2021:")
print(a.replace(year=2021))
print("\nReplace month with 11:")
print(a.replace(month=11))
print("\nReplace timezone with 'US/Pacific:")
print(a.replace(tzinfo='US/Pacific'))
| 55 |
Write a Python program that invoke a given function after specific milliseconds. | from time import sleep
import math
def delay(fn, ms, *args):
sleep(ms / 1000)
return fn(*args)
print("Square root after specific miliseconds:")
print(delay(lambda x: math.sqrt(x), 100, 16))
print(delay(lambda x: math.sqrt(x), 1000, 100))
print(delay(lambda x: math.sqrt(x), 2000, 25100))
| 56 |
Write a Pandas program to find and drop the missing values from World alcohol consumption dataset. | import pandas as pd
# World alcohol consumption data
w_a_con = pd.read_csv('world_alcohol.csv')
print("World alcohol consumption sample data:")
print(w_a_con.head())
print("\nMissing values:")
print(w_a_con.isnull())
print("\nDropping the missing values:")
print(w_a_con.dropna())
| 57 |
Write a Python program to print all primes (Sieve_of_Eratosthenes) smaller than or equal to a specified number. |
def sieve_of_Eratosthenes(num):
limitn = num+1
not_prime_num = set()
prime_nums = []
for i in range(2, limitn):
if i in not_prime_num:
continue
for f in range(i*2, limitn, i):
not_prime_num.add(f)
prime_nums.append(i)
return prime_nums
print(sieve_of_Eratosthenes(100));
| 58 |
Write a Python program to create non-repeated combinations of Cartesian product of four given list of numbers. | import itertools as it
mums1 = [1, 2, 3, 4]
mums2 = [5, 6, 7, 8]
mums3 = [9, 10, 11, 12]
mums4 = [13, 14, 15, 16]
print("Original lists:")
print(mums1)
print(mums2)
print(mums3)
print(mums4)
print("\nSum of the specified range:")
for i in it.product([tuple(mums1)], it.permutations(mums2), it.permutations(mums3), it.permutations(mums4)):
print(i)
| 59 |
Write a Python program to find the values of length six in a given list using Lambda. | weekdays = ['Monday', 'Tuesday', 'Wednesday', 'Thursday', 'Friday', 'Saturday', 'Sunday']
days = filter(lambda day: day if len(day)==6 else '', weekdays)
for d in days:
print(d)
| 60 |
Write a Pandas program to replace NaNs with the value from the previous row or the next row in a given DataFrame. | import pandas as pd
import numpy as np
pd.set_option('display.max_rows', None)
#pd.set_option('display.max_columns', None)
df = pd.DataFrame({
'ord_no':[70001,np.nan,70002,70004,np.nan,70005,np.nan,70010,70003,70012,np.nan,70013],
'purch_amt':[150.5,np.nan,65.26,110.5,948.5,np.nan,5760,1983.43,np.nan,250.45, 75.29,3045.6],
'sale_amt':[10.5,20.65,np.nan,11.5,98.5,np.nan,57,19.43,np.nan,25.45, 75.29,35.6],
'ord_date': ['2012-10-05','2012-09-10',np.nan,'2012-08-17','2012-09-10','2012-07-27','2012-09-10','2012-10-10','2012-10-10','2012-06-27','2012-08-17','2012-04-25'],
'customer_id':[3002,3001,3001,3003,3002,3001,3001,3004,3003,3002,3001,3001],
'salesman_id':[5002,5003,5001,np.nan,5002,5001,5001,np.nan,5003,5002,5003,np.nan]})
print("Original Orders DataFrame:")
print(df)
print("\nReplacing NaNs with the value from the previous row (purch_amt):")
df['purch_amt'].fillna(method='pad', inplace=True)
print(df)
print("\nReplacing NaNs with the value from the next row (sale_amt):")
df['sale_amt'].fillna(method='bfill', inplace=True)
print(df)
| 61 |
Write a Python program to sort a list of elements using the merge sort algorithm. | def mergeSort(nlist):
print("Splitting ",nlist)
if len(nlist)>1:
mid = len(nlist)//2
lefthalf = nlist[:mid]
righthalf = nlist[mid:]
mergeSort(lefthalf)
mergeSort(righthalf)
i=j=k=0
while i < len(lefthalf) and j < len(righthalf):
if lefthalf[i] < righthalf[j]:
nlist[k]=lefthalf[i]
i=i+1
else:
nlist[k]=righthalf[j]
j=j+1
k=k+1
while i < len(lefthalf):
nlist[k]=lefthalf[i]
i=i+1
k=k+1
while j < len(righthalf):
nlist[k]=righthalf[j]
j=j+1
k=k+1
print("Merging ",nlist)
nlist = [14,46,43,27,57,41,45,21,70]
mergeSort(nlist)
print(nlist)
| 62 |
latitude 37.423021 and longitude -122.083739), which you can use to place markers on a map, or position the map. | from lxml import html
import requests
response = requests.get('http://catalog.data.gov/dataset?q=&sort=metadata_created+desc')
doc = html.fromstring(response.text)
title = doc.cssselect('h3.dataset-heading')[0].text_content()
print("The name of the most recently added dataset on data.gov:")
print(title.strip())
| 63 |
Write a NumPy program to create an array of ones and an array of zeros. | import numpy as np
print("Create an array of zeros")
x = np.zeros((1,2))
print("Default type is float")
print(x)
print("Type changes to int")
x = np.zeros((1,2), dtype = np.int)
print(x)
print("Create an array of ones")
y= np.ones((1,2))
print("Default type is float")
print(y)
print("Type changes to int")
y = np.ones((1,2), dtype = np.int)
print(y)
| 64 |
Write a Python program to find the value of the first element in the given list that satisfies the provided testing function. | def find(lst, fn):
return next(x for x in lst if fn(x))
print(find([1, 2, 3, 4], lambda n: n % 2 == 1))
print(find([1, 2, 3, 4], lambda n: n % 2 == 0))
| 65 |
Write a Python program to remove duplicates from Dictionary. | student_data = {'id1':
{'name': ['Sara'],
'class': ['V'],
'subject_integration': ['english, math, science']
},
'id2':
{'name': ['David'],
'class': ['V'],
'subject_integration': ['english, math, science']
},
'id3':
{'name': ['Sara'],
'class': ['V'],
'subject_integration': ['english, math, science']
},
'id4':
{'name': ['Surya'],
'class': ['V'],
'subject_integration': ['english, math, science']
},
}
result = {}
for key,value in student_data.items():
if value not in result.values():
result[key] = value
print(result)
| 66 |
Write a Python program to find the list in a list of lists whose sum of elements is the highest. | num = [[1,2,3], [4,5,6], [10,11,12], [7,8,9]]
print(max(num, key=sum))
| 67 |
Write a Python program to get the top stories from Google news. | import bs4
from bs4 import BeautifulSoup as soup
from urllib.request import urlopen
news_url="https://news.google.com/news/rss"
Client=urlopen(news_url)
xml_page=Client.read()
Client.close()
soup_page=soup(xml_page,"xml")
news_list=soup_page.findAll("item")
# Print news title, url and publish date
for news in news_list:
print(news.title.text)
print(news.link.text)
print(news.pubDate.text)
print("-"*60)
| 68 |
Write a Python program to check all values are same in a dictionary. | def value_check(students, n):
result = all(x == n for x in students.values())
return result
students = {'Cierra Vega': 12, 'Alden Cantrell': 12, 'Kierra Gentry': 12, 'Pierre Cox': 12}
print("Original Dictionary:")
print(students)
n = 12
print("\nCheck all are ",n,"in the dictionary.")
print(value_check(students, n))
n = 10
print("\nCheck all are ",n,"in the dictionary.")
print(value_check(students, n))
| 69 |
Write a Python program to compare two given lists and find the indices of the values present in both lists. | def matched_index(l1, l2):
l2 = set(l2)
return [i for i, el in enumerate(l1) if el in l2]
nums1 = [1, 2, 3, 4, 5 ,6]
nums2 = [7, 8, 5, 2, 10, 12]
print("Original lists:")
print(nums1)
print(nums2)
print("Compare said two lists and get the indices of the values present in both lists:")
print(matched_index(nums1, nums2))
nums1 = [1, 2, 3, 4, 5 ,6]
nums2 = [7, 8, 5, 7, 10, 12]
print("\nOriginal lists:")
print(nums1)
print(nums2)
print("Compare said two lists and get the indices of the values present in both lists:")
print(matched_index(nums1, nums2))
nums1 = [1, 2, 3, 4, 15 ,6]
nums2 = [7, 8, 5, 7, 10, 12]
print("\nOriginal lists:")
print(nums1)
print(nums2)
print("Compare said two lists and get the indices of the values present in both lists:")
print(matched_index(nums1, nums2))
| 70 |
Write a Python program to create a 24-hour time format (HH:MM ) using 4 given digits. Display the latest time and do not use any digit more than once. | import itertools
def max_time(nums):
for i in range(len(nums)):
nums[i] *= -1
nums.sort()
for hr1, hr2, m1, m2 in itertools.permutations(nums):
hrs = -(10*hr1 + hr2)
mins = -(10*m1 + m2)
if 60> mins >=0 and 24 > hrs >=0:
result = "{:02}:{:02}".format(hrs, mins)
break
return result
nums = [1,2,3,4]
print("Original array:",nums)
print("Latest time: ",max_time(nums))
nums = [1,2,4,5]
print("\nOriginal array:",nums)
print("Latest time: ",max_time(nums))
nums = [2,2,4,5]
print("\nOriginal array:",nums)
print("Latest time: ",max_time(nums))
nums = [2,2,4,3]
print("\nOriginal array:",nums)
print("Latest time: ",max_time(nums))
nums = [0,2,4,3]
print("\nOriginal array:",nums)
print("Latest time: ",max_time(nums))
| 71 |
Sum a list of numbers. Write a Python program to sum the first number with the second and divide it by 2, then sum the second with the third and divide by 2, and so on. | #Source: shorturl.at/csxLM
def test(list1):
result = [(x + y) / 2.0 for (x, y) in zip(list1[:-1], list1[1:])]
return list(result)
nums = [1,2,3,4,5,6,7]
print("\nOriginal list:")
print(nums)
print("\nSum the said list of numbers:")
print(test(nums))
nums = [0,1,-3,3,7,-5,6,7,11]
print("\nOriginal list:")
print(nums)
print("\nSum the said list of numbers:")
print(test(nums))
| 72 |
Write a Python program to test whether all numbers of a list is greater than a certain number. | num = [2, 3, 4, 5]
print()
print(all(x > 1 for x in num))
print(all(x > 4 for x in num))
print()
| 73 |
Write a NumPy program to test whether a given 2D array has null columns or not. | import numpy as np
print("Original array:")
nums = np.random.randint(0,3,(4,10))
print(nums)
print("\nTest whether the said array has null columns or not:")
print((~nums.any(axis=0)).any())
| 74 |
Write a NumPy program to convert angles from degrees to radians for all elements in a given array. | import numpy as np
x = np.array([-180., -90., 90., 180.])
r1 = np.radians(x)
r2 = np.deg2rad(x)
assert np.array_equiv(r1, r2)
print(r1)
| 75 |
Write a Python program to find all anagrams of a string in a given list of strings using lambda. | from collections import Counter
texts = ["bcda", "abce", "cbda", "cbea", "adcb"]
str = "abcd"
print("Orginal list of strings:")
print(texts)
result = list(filter(lambda x: (Counter(str) == Counter(x)), texts))
print("\nAnagrams of 'abcd' in the above string: ")
print(result)
| 76 |
rogram to display the name of the most recently added dataset on data.gov. | from urllib.request import urlopen
from bs4 import BeautifulSoup
html = urlopen('http://www.example.com/')
bsh = BeautifulSoup(html.read(), 'html.parser')
print(bsh.h1)
| 77 |
Write a NumPy program to extract all numbers from a given array which are less and greater than a specified number. | import numpy as np
nums = np.array([[5.54, 3.38, 7.99],
[3.54, 4.38, 6.99],
[1.54, 2.39, 9.29]])
print("Original array:")
print(nums)
n = 5
print("\nElements of the said array greater than",n)
print(nums[nums > n])
n = 6
print("\nElements of the said array less than",n)
print(nums[nums < n])
| 78 |
Write a NumPy program to extract second and fourth elements of the second and fourth rows from a given (4x4) array. | import numpy as np
arra_data = np.arange(0,16).reshape((4, 4))
print("Original array:")
print(arra_data)
print("\nExtracted data: Second and fourth elements of the second and fourth rows ")
print(arra_data[1::2, 1::2])
| 79 |
Write a NumPy program to split a given array into multiple sub-arrays vertically (row-wise). | import numpy as np
print("\nOriginal arrays:")
x = np.arange(16.0).reshape(4, 4)
print(x)
new_array1 = np.vsplit(x, 2)
print("\nSplit an array into multiple sub-arrays vertically:")
print(new_array1)
| 80 |
Write a Python program to count number of substrings from a given string of lowercase alphabets with exactly k distinct (given) characters. | def count_k_dist(str1, k):
str_len = len(str1)
result = 0
ctr = [0] * 27
for i in range(0, str_len):
dist_ctr = 0
ctr = [0] * 27
for j in range(i, str_len):
if(ctr[ord(str1[j]) - 97] == 0):
dist_ctr += 1
ctr[ord(str1[j]) - 97] += 1
if(dist_ctr == k):
result += 1
if(dist_ctr > k):
break
return result
str1 = input("Input a string (lowercase alphabets):")
k = int(input("Input k: "))
print("Number of substrings with exactly", k, "distinct characters : ", end = "")
print(count_k_dist(str1, k))
| 81 |
Write a Python program to create a list reflecting the run-length encoding from a given list of integers or a given list of characters. | from itertools import groupby
def encode_list(s_list):
return [[len(list(group)), key] for key, group in groupby(s_list)]
n_list = [1,1,2,3,4,4.3,5, 1]
print("Original list:")
print(n_list)
print("\nList reflecting the run-length encoding from the said list:")
print(encode_list(n_list))
n_list = 'automatically'
print("\nOriginal String:")
print(n_list)
print("\nList reflecting the run-length encoding from the said string:")
print(encode_list(n_list))
| 82 |
Write a Pandas program to check whether only numeric values present in a given column of a DataFrame. | import pandas as pd
df = pd.DataFrame({
'company_code': ['Company','Company a001', '2055', 'abcd', '123345'],
'date_of_sale ': ['12/05/2002','16/02/1999','25/09/1998','12/02/2022','15/09/1997'],
'sale_amount': [12348.5, 233331.2, 22.5, 2566552.0, 23.0]})
print("Original DataFrame:")
print(df)
print("\nNumeric values present in company_code column:")
df['company_code_is_digit'] = list(map(lambda x: x.isdigit(), df['company_code']))
print(df)
| 83 |
Write a Python program to check if a specific Key and a value exist in a dictionary. | def test(dictt, key, value):
if any(sub[key] == value for sub in dictt):
return True
return False
students = [
{'student_id': 1, 'name': 'Jean Castro', 'class': 'V'},
{'student_id': 2, 'name': 'Lula Powell', 'class': 'V'},
{'student_id': 3, 'name': 'Brian Howell', 'class': 'VI'},
{'student_id': 4, 'name': 'Lynne Foster', 'class': 'VI'},
{'student_id': 5, 'name': 'Zachary Simon', 'class': 'VII'}
]
print("\nOriginal dictionary:")
print(students)
print("\nCheck if a specific Key and a value exist in the said dictionary:")
print(test(students,'student_id', 1))
print(test(students,'name', 'Brian Howell'))
print(test(students,'class', 'VII'))
print(test(students,'class', 'I'))
print(test(students,'name', 'Brian Howelll'))
print(test(students,'student_id', 11))
| 84 |
Write a Pandas program to split a given dataset using group by on multiple columns and drop last n rows of from each group. | import pandas as pd
pd.set_option('display.max_rows', None)
#pd.set_option('display.max_columns', None)
df = pd.DataFrame({
'ord_no':[70001,70009,70002,70004,70007,70005,70008,70010,70003,70012,70011,70013],
'purch_amt':[150.5,270.65,65.26,110.5,948.5,2400.6,5760,1983.43,2480.4,250.45, 75.29,3045.6],
'ord_date': ['2012-10-05','2012-09-10','2012-10-05','2012-08-17','2012-09-10','2012-07-27','2012-09-10','2012-10-10','2012-10-10','2012-06-27','2012-08-17','2012-04-25'],
'customer_id':[3002,3001,3001,3003,3002,3002,3001,3004,3003,3002,3003,3001],
'salesman_id':[5002,5003,5001,5003,5002,5001,5001,5003,5003,5002,5003,5001]})
print("Original Orders DataFrame:")
print(df)
print("\nSplit the said data on 'salesman_id', 'customer_id' wise:")
result = df.groupby(['salesman_id', 'customer_id'])
for name,group in result:
print("\nGroup:")
print(name)
print(group)
n = 2
#result1 = df.groupby(['salesman_id', 'customer_id']).tail(n).index, axis=0)
print("\nDroping last two records:")
result1 = df.drop(df.groupby(['salesman_id', 'customer_id']).tail(n).index, axis=0)
print(result1)
| 85 |
Write a NumPy program to find point by point distances of a random vector with shape (10,2) representing coordinates. | import numpy as np
a= np.random.random((10,2))
x,y = np.atleast_2d(a[:,0], a[:,1])
d = np.sqrt( (x-x.T)**2 + (y-y.T)**2)
print(d)
| 86 |
Write a Python program to create the next bigger number by rearranging the digits of a given number. | def rearrange_bigger(n):
#Break the number into digits and store in a list
nums = list(str(n))
for i in range(len(nums)-2,-1,-1):
if nums[i] < nums[i+1]:
z = nums[i:]
y = min(filter(lambda x: x > z[0], z))
z.remove(y)
z.sort()
nums[i:] = [y] + z
return int("".join(nums))
return False
n = 12
print("Original number:",n)
print("Next bigger number:",rearrange_bigger(n))
n = 10
print("\nOriginal number:",n)
print("Next bigger number:",rearrange_bigger(n))
n = 201
print("\nOriginal number:",n)
print("Next bigger number:",rearrange_bigger(n))
n = 102
print("\nOriginal number:",n)
print("Next bigger number:",rearrange_bigger(n))
n = 445
print("\nOriginal number:",n)
print("Next bigger number:",rearrange_bigger(n))
| 87 |
Write a Python program to filter a dictionary based on values. | marks = {'Cierra Vega': 175, 'Alden Cantrell': 180, 'Kierra Gentry': 165, 'Pierre Cox': 190}
print("Original Dictionary:")
print(marks)
print("Marks greater than 170:")
result = {key:value for (key, value) in marks.items() if value >= 170}
print(result)
| 88 |
Write a Python program to count the frequency of the elements of a given unordered list. | from itertools import groupby
uno_list = [2,1,3,8,5,1,4,2,3,4,0,8,2,0,8,4,2,3,4,2]
print("Original list:")
print(uno_list)
uno_list.sort()
print(uno_list)
print("\nSort the said unordered list:")
print(uno_list)
print("\nFrequency of the elements of the said unordered list:")
result = [len(list(group)) for key, group in groupby(uno_list)]
print(result)
| 89 |
Write a Pandas program to find out the alcohol consumption details in the year '1987' or '1989' from the world alcohol consumption dataset. | import pandas as pd
# World alcohol consumption data
w_a_con = pd.read_csv('world_alcohol.csv')
print("World alcohol consumption sample data:")
print(w_a_con.head())
print("\nThe world alcohol consumption details where year is 1987 or 1989:")
print((w_a_con[(w_a_con['Year']==1987) | (w_a_con['Year']==1989)]).head(10))
| 90 |
Write a Python program to count the number of even and odd numbers from a series of numbers. | numbers = (1, 2, 3, 4, 5, 6, 7, 8, 9) # Declaring the tuple
count_odd = 0
count_even = 0
for x in numbers:
if not x % 2:
count_even+=1
else:
count_odd+=1
print("Number of even numbers :",count_even)
print("Number of odd numbers :",count_odd)
| 91 |
Write a Python code to send some sort of data in the URL's query string. | import requests
payload = {'key1': 'value1', 'key2': 'value2'}
print("Parameters: ",payload)
r = requests.get('https://httpbin.org/get', params=payload)
print("Print the url to check the URL has been correctly encoded or not!")
print(r.url)
print("\nPass a list of items as a value:")
payload = {'key1': 'value1', 'key2': ['value2', 'value3']}
print("Parameters: ",payload)
r = requests.get('https://httpbin.org/get', params=payload)
print("Print the url to check the URL has been correctly encoded or not!")
print(r.url)
| 92 |
Write a Pandas program to split the following dataframe into groups and calculate monthly purchase amount. | import pandas as pd
pd.set_option('display.max_rows', None)
#pd.set_option('display.max_columns', None)
df = pd.DataFrame({
'ord_no':[70001,70009,70002,70004,70007,70005,70008,70010,70003,70012,70011,70013],
'purch_amt':[150.5,270.65,65.26,110.5,948.5,2400.6,5760,1983.43,2480.4,250.45, 75.29,3045.6],
'ord_date': ['05-10-2012','09-10-2012','05-10-2012','08-17-2012','10-09-2012','07-27-2012','10-09-2012','10-10-2012','10-10-2012','06-17-2012','07-08-2012','04-25-2012'],
'customer_id':[3001,3001,3005,3001,3005,3001,3005,3001,3005,3001,3005,3005],
'salesman_id': [5002,5005,5001,5003,5002,5001,5001,5006,5003,5002,5007,5001]})
print("Original Orders DataFrame:")
print(df)
df['ord_date']= pd.to_datetime(df['ord_date'])
print("\nMonth wise purchase amount:")
result = df.set_index('ord_date').groupby(pd.Grouper(freq='M')).agg({'purch_amt':sum})
print(result)
| 93 |
Write a Pandas program to add leading zeros to the character column in a pandas series and makes the length of the field to 8 digit. | import pandas as pd
nums = {'amount': ['10', '250', '3000', '40000', '500000']}
print("Original dataframe:")
df = pd.DataFrame(nums)
print(df)
print("\nAdd leading zeros:")
df['amount'] = list(map(lambda x: x.zfill(10), df['amount']))
print(df)
| 94 |
Write a NumPy program to compute the reciprocal for all elements in a given array. | import numpy as np
x = np.array([1., 2., .2, .3])
print("Original array: ")
print(x)
r1 = np.reciprocal(x)
r2 = 1/x
assert np.array_equal(r1, r2)
print("Reciprocal for all elements of the said array:")
print(r1)
| 95 |
Write a NumPy program to calculate the QR decomposition of a given matrix. | import numpy as np
m = np.array([[1,2],[3,4]])
print("Original matrix:")
print(m)
result = np.linalg.qr(m)
print("Decomposition of the said matrix:")
print(result)
| 96 |
Write a NumPy program to extract first and second elements of the first and second rows from a given (4x4) array. | import numpy as np
arra_data = np.arange(0,16).reshape((4, 4))
print("Original array:")
print(arra_data)
print("\nExtracted data: First and second elements of the first and second rows ")
print(arra_data[0:2, 0:2])
| 97 |
Write a Python program to compute sum of digits of a given string. | def sum_digits_string(str1):
sum_digit = 0
for x in str1:
if x.isdigit() == True:
z = int(x)
sum_digit = sum_digit + z
return sum_digit
print(sum_digits_string("123abcd45"))
print(sum_digits_string("abcd1234"))
| 98 |
Create a dataframe of ten rows, four columns with random values. Write a Pandas program to make a gradient color mapping on a specified column. | import pandas as pd
import numpy as np
np.random.seed(24)
df = pd.DataFrame({'A': np.linspace(1, 10, 10)})
df = pd.concat([df, pd.DataFrame(np.random.randn(10, 4), columns=list('BCDE'))],
axis=1)
print("Original array:")
print(df)
print("\nDataframe - Gradient color:")
df.style.background_gradient(subset=['C'])
| 99 |
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