Python Project [ Digital Clock]

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

Author October 04, 2021 Projects, Python No comments

An application to save any random article from Wikipedia to a text file.

Output of the project

Source Code:

from bs4 import BeautifulSoup

import requests

# Trying to open a random wikipedia article

# Special:Random opens random articles

res = requests.get("https://en.wikipedia.org/wiki/Special:Random")

res.raise_for_status()

# pip install htmlparser

wiki = BeautifulSoup(res.text, "html.parser")

r = open("random_wiki.txt", "w+", encoding='utf-8')

# Adding the heading to the text file

heading = wiki.find("h1").text

r.write(heading + "\n")

for i in wiki.select("p"):

# Optional Printing of text

# print(i.getText())

r.write(i.getText())

r.close()

print("File Saved as random_wiki.txt")

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

oin us: https://t.me/jupyter_python

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