Programming Language: Python

Namespace/Package Name: food

Class/Type: Food

Examples at hotexamples.com: 54

1. NumPy:

NumPy is a package library that helps perform mathematical operations of arrays and numbers. It also contains functions for reading data from files and plotting graphs. Here's a code example:

import numpy as np

# creating an array

arr = np.array([1, 2, 3, 4, 5])

# adding 1 to each element using vectorization

arr += 1

# printing the updated array

print(arr)

Output: [2 3 4 5 6]

2. pandas:

pandas is a package library used for data manipulation and analysis. It provides functions for reading and writing data in various formats, such as CSV, Excel, and SQL. Here's a code example:

import pandas as pd

# reading a CSV file

df = pd.read_csv('sales_data.csv')

# filtering rows with sales greater than 1000

df = df[df['sales'] > 1000]

# grouping by product and finding the mean sales

mean_sales = df.groupby('product')['sales'].mean()

# printing the mean sales

print(mean_sales)

Output:

product

A 2000

B 3000

C 2500

Name: sales, dtype: int64

3. Matplotlib:

Matplotlib is a package library used for visualization and plotting. It provides various types of plots, such as line, bar, scatter, and pie charts. Here's a code example:

import matplotlib.pyplot as plt

# creating data for a bar chart

labels = ['Pizza', 'Burger', 'Sandwich', 'Pasta']

values = [22, 18, 15, 10]

# plotting a bar chart

plt.bar(labels, values)

# adding labels and title to the chart

plt.xlabel('Food items')

plt.ylabel('Number of sales')

plt.title('Popular food items')

# displaying the chart

plt.show()

Output:

[![Popular food items](https://i.imgur.com/3A6Q2aq.png)](https://i.imgur.com/3A6Q2aq.png)

NumPy is a package library that helps perform mathematical operations of arrays and numbers. It also contains functions for reading data from files and plotting graphs. Here's a code example:

import numpy as np

# creating an array

arr = np.array([1, 2, 3, 4, 5])

# adding 1 to each element using vectorization

arr += 1

# printing the updated array

print(arr)

Output: [2 3 4 5 6]

2. pandas:

pandas is a package library used for data manipulation and analysis. It provides functions for reading and writing data in various formats, such as CSV, Excel, and SQL. Here's a code example:

import pandas as pd

# reading a CSV file

df = pd.read_csv('sales_data.csv')

# filtering rows with sales greater than 1000

df = df[df['sales'] > 1000]

# grouping by product and finding the mean sales

mean_sales = df.groupby('product')['sales'].mean()

# printing the mean sales

print(mean_sales)

Output:

product

A 2000

B 3000

C 2500

Name: sales, dtype: int64

3. Matplotlib:

Matplotlib is a package library used for visualization and plotting. It provides various types of plots, such as line, bar, scatter, and pie charts. Here's a code example:

import matplotlib.pyplot as plt

# creating data for a bar chart

labels = ['Pizza', 'Burger', 'Sandwich', 'Pasta']

values = [22, 18, 15, 10]

# plotting a bar chart

plt.bar(labels, values)

# adding labels and title to the chart

plt.xlabel('Food items')

plt.ylabel('Number of sales')

plt.title('Popular food items')

# displaying the chart

plt.show()

Output:

[![Popular food items](https://i.imgur.com/3A6Q2aq.png)](https://i.imgur.com/3A6Q2aq.png)

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