Python Project [An application to save any random article from Wikipedia to a text file].

Program that converts arrays into a list, loops through the list to form a string using the chr() function

Input :

#Program that converts arrays into a list, loops through the list to form a string using the chr() function

#clcoding.com

import numpy as np

def ord_to_character(words = ""):

x = np.array([112,121,134,123,32,96,34,56,67,111,98,97,119,105,113])

y = np.array([78,90,104,123,132,53,34,56,97,116,98,27,119,77,117,12])

z = np.array([111,112,134,123,21,32,108,106,89,70,80,103,103,120,121])

letters = x.tolist() + y.tolist() + z.tolist()

for letter in letters:

words += chr(letter)

return words

sentence = ord_to_character()

print(sentence)

Output :

py†{ `"8CobawiqNZh{„5"8atbwMuop†{ ljYFPggxy

Plotting a colourful Scatter Plot using Matplotlib

from matplotlib import pyplot as plt

x = [10,20,30,40,50]

y = [200,300,100,400,500]

colors=[70,20,80,10,50]

sizes=[100,50,300,250,150]

plt.scatter(x,y,c=colors,s=sizes,cmap="Accent",alpha=1.0)

plt.colorbar()

plt.show

Plotting Histogram using Pyplot

from matplotlib import pyplot as plt

marks=[90,50,40,60,55,44,30,10,34,84]

grade_intervals=[0,35,70,100]

plt.title("Student Grades")

plt.hist(marks,grade_intervals,histtype="bar",rwidth=0.5,facecolor="blue")

plt.xticks([0,35,70,100])

plt.xlabel("Percentage")

plt.ylabel("No. of Students")

plt.show()

Plotting Colourful Pie Chart In MatPlotlib

from matplotlib import pyplot as plt

student_performance = ["Excellent","Good","Average","Poor"]

student_values = [15,25,12,8]

plt.figure(figsize=(7,10))

plt.pie(student_values,labels=student_performance,startangle=90,

explode=[0.2,0,0,0],shadow=True,colors=["black","blue","yellow","red"],autopct="%2.1f%%")

plt.legend(title="Perfomances")

plt.show

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HANDLING MISSING DATA (FillNa) IN PANDAS

Firstly, we are importing an excel sheet as a DataFrame,

import pandas as pd

ds = pd.read_excel("C:\\Users\\mahes\\OneDrive\\Documents\\Students.xlsx")

dt = pd.DataFrame(ds)

print(dt)

Now, Let's perform some operations related to FillNa()

HANDLING MISSING DATA (dropna) IN PANDAS

Firstly, we are importing an excel sheet as a DataFrame,

import pandas as pd

ds = pd.read_excel("C:\\Users\\mahes\\OneDrive\\Documents\\Students.xlsx")

dt = pd.DataFrame(ds)

print(dt)

Now, Let's perform some operations related to DROPNA

ILOC[ ] IN PANDAS - PYTHON

Firstly, we are importing an excel sheet as a DataFrame,

import pandas as pd

ds = pd.read_excel("C:\\Users\\mahes\\OneDrive\\Documents\\Students.xlsx")

dt = pd.DataFrame(ds)

Now, Let's perform some operations related to ILOC

LOC[ ] IN PANDAS - PYTHON

LOC[ ] IN PANDAS

Firstly, we are importing an excel sheet as a DataFrame,

import pandas as pd

ds = pd.read_excel("C:\\Users\\mahes\\OneDrive\\Documents\\Students.xlsx")

dt = pd.DataFrame(ds)

Now, Let's perform some operations related to LOC and ILOC

EXPORT DATAFRAME TO EXCEL, CSV & TEXT FILE IN PANDAS || SAVE DATAFRAME IN PANDAS

EXPORT DATAFRAME TO EXCEL, CSV & TEXT FILE IN PANDAS

Firstly, we are importing an excel sheet as a DataFrame,

import pandas as pd

st = pd.read_excel("C:\\Users\\mahes\\OneDrive\\Documents\\Students.xlsx")

sd = pd.DataFrame(st)

print(st)

Making some changes in the dataframe

st['Total']=st['Hindi']+st['English'] +st['Science'] +st['History']+st['Mathematics']

Now, exporting the DataFrame as Excel, CSV and Text File

sd.to_excel("C:\\Users\\mahes\\OneDrive\\Desktop\\StudentsNew.xlsx")

sd.to_csv("C:\\Users\\mahes\\OneDrive\\Desktop\\StudentsNew.csv")

sd.to_csv("C:\\Users\\mahes\\OneDrive\\Desktop\\StudentsNew.txt" ,sep = "\t")

As you can see we have created three new files.

SORTING DATAFRAME (BY COLUMN) IN PANDAS (Part-2) - PYTHON PROGRAMMING

#SORTING DATAFRAME (BY COLUMN) IN PANDAS (Part-2) - PYTHON PROGRAMMING

Listing Two Rows

df[['Name','Total_Marks']]

df = df.drop(columns = "Total_Marks")

print(df)

MANIPULATING DATAFRAME IN PANDAS (ADD COLUMN , DROP COLUMN) || DATAFRAME MANIPULATIONS

import pandas as pd

dt = pd.read_excel("C:\\Users\\mahes\\OneDrive\\Documents\\Students.xlsx")

df = pd.DataFrame(dt)

print(df)

df['Total_Marks'] = 0

print(df)

df['Total_Marks'] = df['Hindi']+df['English']

SORTING DATAFRAME (BY COLUMN) IN PANDAS - PYTHON PROGRAMMING

#SORTING DATAFRAME (BY COLUMN) IN PANDAS

#clcoding

import pandas as pd

dt = pd.read_excel("FILE_NAME")

print(dt)

df = pd.DataFrame(dt)

df.sort_values("MAXMTEMPERATURE", ascending = False)

How do you generate random Password?

Author June 21, 2021 Python No comments

#How do you generate 8 random character?

#clcoding

from string import printable

from random import choice

print(*[choice(printable) for _ in range(8)], sep = '')

How do you reverse the string without take another string?

Author June 21, 2021 Python No comments

#How do you reverse the string without take another string?

#clcoding

s = 'hello'

n = -1

for x in s:

n += 1

while n >= 0:

print(s[n], end = '')

n -= 1

INDEXING & SLICING DATAFRAMES IN PANDAS [PART 3]- PYTHON PROGRAMMING

INDEXING & SLICING DATAFRAMES IN PANDAS

data_frame(start:step:stop)

data_frame(col_name)

data_frame(col_name)[index_value]

INDEXING & SLICING DATAFRAMES IN PANDAS [PART 2]- PYTHON PROGRAMMING

INDEXING & SLICING DATAFRAMES IN PANDAS

Shape()

loc()

Columns()

INDEXING & SLICING DATAFRAMES IN PANDAS [PART 1]- PYTHON PROGRAMMING

INDEXING & SLICING DATAFRAMES IN PANDAS

head( )

tail( )

describe( )

MATHEMATICAL FUNCTIONS ON SERIES IN PANDAS [Boolean Functions] - PYTHON PROGRAMMING

Author June 20, 2021 No comments

1] Greater than

import pandas as pd

s1 = pd.Series([10,20,120,40,150])

s2 = pd.Series([70,80,90,100,110])

s1>(s2)

2] Less than

import pandas as pd

s1 = pd.Series([10,20,120,40,150])

s2 = pd.Series([70,80,90,100,110])

s1<(s2)

3] Equal to

import pandas as pd

s1 = pd.Series([10,20,120,40,150])

s2 = pd.Series([70,20,90,40,110])

s1==(s2)

MATHEMATICAL FUNCTIONS ON SERIES IN PANDAS [Part 1] - PYTHON PROGRAMMING

1] Addition

#clcoding

import pandas as pd

s1 = pd.Series([10,20,30,40,50])

s2 = pd.Series([70,80,90,100,110])

s1.add(s2)

2] Subtraction

import pandas as pd

s1 = pd.Series([10,20,30,40,50])

s2 = pd.Series([70,80,90,100,110])

s1.subtract(s2)

3] Multiplication

import pandas as pd

s1 = pd.Series([10,20,30,40,50])

s2 = pd.Series([70,80,90,100,110])

s1.multiply(s2)

4] Division

import pandas as pd

s1 = pd.Series([10,20,30,40,50])

s2 = pd.Series([70,80,90,100,110])

s1.divide(s2)

OPERATIONS ON SERIES - PYTHON

ATTRIBUTES OF SERIES IN PANDAS

1. index 2. array 3. values 4. name 5. shape 6. size 7. nbytes 8. dtype 9. memory_usage( ) 10. empty 11. ndim

ATTRIBUTES OF SERIES IN PANDAS - PYTHON PROGRAMMING

ATTRIBUTES OF SERIES IN PANDAS

Index - Series.index - Return all index values

Array - Series.array - Return all index values

Values - Series.values - Return values of series

Name - Series.name - Return the name of Series

Shape - Series.shape - Return the shape

Ndim - Series.ndim - Return the dimension of series

Size - Series.size - Return the size of series

Nbytes - Series.nbytes - Returns the memory occupied

memory-usage - Series.memory-usage() - Returns memory occupied by both index & values

DIFFERENT WAYS OF CREATING DATAFRAME IN PANDAS - PYTHON PROGRAMMING TWO (II)

#clcoding

dt=[('a',10),('b',20),('c',30)]

pd.Series(dt)

df = pd.read_excel("FILE_NAME")

pd.DataFrame(df)

DIFFERENT WAYS OF CREATING DATAFRAME IN PANDAS - PYTHON PROGRAMMING

#clcoding

import numpy as np

a = np.array([10,20,30,40,50])

import pandas as pd

sa = pd.Series(a)

print(a)

print(sa)

How to find any vowels without using any loops

Author June 18, 2021 Projects, Python No comments

#How to find any vowels without using any loops

#clcoding

from re import findall

s = 'clcoding'

findall(r'[aeiou]',s)

How do you find dayname of particular date of year?

Author June 18, 2021 Projects, Python No comments

#How do you find dayname of particular date of year?

#Clcoding

import calendar as cal

dayname = ['MONDAY', 'TUESDAY', 'WEDNESDAY', 'THURSDAY',

'FRIDAY', 'SATURDAY', 'SUNDAY']

inx = cal.weekday(2021,6,18)

dayname[inx]

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Print month of a year

#Print month of a year

#clcoding

import calendar

print(calendar.month(2021,3))

How to create your own Dataset

#How to create your own Dataset

#clcoding

from faker import Faker

fake = Faker()

for _ in range(10):

print(fake.name())

How to make a text in python colorfull.

#how to make a text in python colorfull.

#clcoding

print("\033[92mIf you like this post, Upvote it")

print("\033[96mIf you like this post, Upvote it")

print("\033[93mIf you like this post, Upvote it")

print("\033[95mIf you like this post, Upvote it")

print("\033[1mIf you like this post, Upvote it")

print("\033[4mIf you like this post, Upvote it")

print("\033[94mIf you like this post, Upvote it")

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How to use class and method without creating object

#How to use class and method without creating object

#clcoding

class fruit:

def is_sweet():

return True

if fruit.is_sweet():

print("Yes")

else:

print("No")

How do you find which string largest between two strings?