Tundra Tapestry Pattern using Python

 

import matplotlib.pyplot as plt

import numpy as np

patterns=patterns = ['/','\\','|','-','+','x','o','O','.','*','///','\\\\','|||','--','++','xx','oo','OO','..','**']

while len(patterns)<50:

    patterns.extend(patterns)

patterns=patterns[:50]

x=np.arange(1,51)

y=np.random.randint(10,100,size=50)

fig,ax=plt.subplots(figsize=(8,8))

tundra_colors=['#A8D5BA','#B5E2CD','#CDE6D0','#D9EAD3','#E5F5E0']

for i in range(50):

    ax.bar(x[i],y[i],hatch=patterns[i],color=tundra_colors[i%5],edgecolor='black')

ax.set_xlabel('Index')

ax.set_ylabel('Value')

ax.set_title('Tundra Tapestry Pattern')

plt.show()

#source code --> clcoding.com 

Code Explanation:

1. Importing Libraries

import numpy as np

import matplotlib.pyplot as plt

numpy: Used for generating numerical data, especially arrays and random numbers.

matplotlib.pyplot: A popular Python library for creating visualizations, including bar plots.

 2. Defining Patterns

patterns = ['/', '\\', '|', '-', '+', 'x', 'o', 'O', '.', '*', '///', '\\\\', '|||', '--', '++', 'xx', 'oo', 'OO', '..', '**']

A list of hatch patterns (textures used to fill bars).

These are commonly used in visualizations for differentiating bars in black-and-white or colorblind-friendly charts.

 3. Extending Patterns to 50

while len(patterns) < 50:

    patterns.extend(patterns)

patterns = patterns[:50]

If the list contains fewer than 50 patterns, it repeats the list using extend().

patterns[:50] ensures exactly 50 patterns by slicing the list.

 4. Generating Data

x = np.arange(1, 51)

y = np.random.randint(10, 100, size=50)

x: A sequence of numbers from 1 to 50 representing the x-axis values (indices).

y: 50 random integers between 10 and 100 for the y-axis (bar heights).

 5. Creating the Figure and Axis

fig, ax = plt.subplots(figsize=(12, 8))

fig represents the figure (the entire visualization space).

ax is the plotting area where the bars are drawn.

figsize=(12, 8) specifies the size of the figure in inches.

 6. Defining Tundra Colors

tundra_colors = ['#A8D5BA', '#B5E2CD', '#CDE6D0', '#D9EAD3', '#E5F5E0']

A soft, pastel color palette representing tundra landscapes.

Colors are in hex format (#RRGGBB).

 7. Plotting Bars

for i in range(50):

    ax.bar(x[i], y[i], hatch=patterns[i], color=tundra_colors[i % 5], edgecolor='black')

A for loop iterates 50 times to plot each bar.

 ax.bar() creates a bar using:

 x[i] → Position on the x-axis.

 y[i] → Height of the bar.

 hatch=patterns[i] → Texture of the bar.

 color=tundra_colors[i % 5] → Cycles through the 5 tundra colors using the modulo operator.

 edgecolor='black' → Black border for contrast.

 8. Adding Labels and Title

ax.set_xlabel('Index')

ax.set_ylabel('Value')

ax.set_title('Tundra Tapestry: 50 Unique Pattern Plot using Matplotlib')

ax.set_xlabel() and ax.set_ylabel() label the x and y axes.

ax.set_title() gives the plot a descriptive title.

 9. Displaying the Plot

plt.show()

This renders and displays the completed plot using matplotlib.