slip.2


<!DOCTYPE html>
<html>
<head>
<title>Pune City</title>
<marquee style="background-color:yellow;padding:20px;font-size:20px;">
Pune city is best for education.
</marquee>
</head>
<body style="background-color:pink;">

<h1 style="color:blue;font-size:large;">Pune City</h1>

<ul>
<li style="font-size:17px;">Landmarks:</li>
<ul>
<li style="color:red;font-size:11px;">Kothrud</li>
<li style="color:orange;font-size:12px;">Morya Gosawi</li>
<li style="color:green;font-size:13px;">Dagdusheth</li>
<li style="color:aqua;font-size:14px;">Alandi</li>
</ul>
</ul>

<img src="file:///C:/Users/dpo77/OneDrive/Desktop/webTechnology/HTML-%20DEMO-PGM/images/rose.jpg" height="300" width="500">

</body>
</html>



2


import pandas as pd
import matplotlib.pyplot as plt


data = pd.read_csv('Data.csv')
df = pd.DataFrame(data)
print('\n******** ____Without Modified Dataset_____********\n\n', df)
df['Salary'] = df['Salary'].fillna(df['Salary'].mean())
df['Age'] = df['Age'].fillna(df['Age'].mean())
print('\n******** ____ Modified Dataset_____********\n\n', df)



df.plot(x="Country", y="Salary", c="lightseagreen", linewidth=2, label='..$')
plt.title('Line Plot of Country Name And Salary')
plt.xlabel('------ Country Name ------')
plt.ylabel('------ Salary ------')
plt.grid(visible=True, color='black', alpha=0.3)
plt.show()



data1 = pd.read_csv('weight-height.csv')
df1 = pd.DataFrame(data)
print('\n First 10 rows of Given Dataset is : \n')
print(df1.head(10))
print('\n Last10 rows of Given Dataset is : \n')
print(df1.tail(10))
print('\n Random 10 rows of Given Dataset is : \n')
print(df1.sample(10))




Comments

Post a Comment

Popular posts from this blog

Slip No.1

<!DOCTYPE html> <html> <head> <title>Project Management</title> </head> <body style="background-color: yellow;"> <h1>Project Management</h1> <form> <label>Project Name:</label> <input type="text" name="projectName" value="project name"><br><br> <label>Assigned to:</label> <select name="assignedTo"> <option>Er Merry Petision</option> </select><br><br> <label>Start Date:</label> <input type="date" name="startDate"><br><br> <label>End Date:</label> <input type="date" name="endDate"><br><br> <label>Priority:</label> <input type="radio" name="priority" value="High">High <input type="radio" name="priority" value="Average">Aver...
Read more

slip.4

1. <!DOCTYPE html> <html> <head> <title>Program for Printing Table</title> <style> table, td, th { border: 1px solid black; border-collapse: collapse; padding: 18px; text-align: center; } </style> </head> <body> <h1 align="center">List of Books</h1> <table align="center"> <tr> <td rowspan="2">Item No</td> <td rowspan="2">Item Name</td> <td colspan="2">Price</td> </tr> <tr> <td>Rs.</td> <td>Paise</td> </tr> <tr> <td>1.</td> <td>Programming in Python</td> <td>500</td> <td>50</td> </tr> <tr> <td>2.</td> <td>Programming in Java</td> <td>345</td> <td>65</td> </tr> </table> </body> </html> 2 import pandas as pd import matplotlib.pyplot as plt import nump...
Read more

slip.3

1. <!DOCTYPE html> <html> <head> <title>Company Info</title> <style> h1 { background-color: green; color: red; font-family: Comic Sans MS, cursive, sans-serif; text-align: center; padding: 10px; } p { color: blue; font-size: 16px; margin: 20px; } </style> </head> <body> <h1>My Company Name</h1> <p>We are a leading company in innovative solutions, dedicated to providing the best services to our clients.</p> </body> </html> 2 import pandas as pd import matplotlib.pyplot as plt data = pd.read_csv("Iris.csv") new_data = data[["SepalLengthCm", "SepalWidthCm", "PetalLengthCm", "PetalWidthCm"]] print(new_data.head()) new_data.boxplot() plt.title("Box Plot") plt.show() data = pd.read_csv('weight-height.csv') df = pd.DataFrame(data) print('\n Basic Statistical Details of Given Dataset: \n\n', df.describe())
Read more