Matplotlib using List ,tuple, set and Dictionary

 

📌 1. Using LIST with Matplotlib

Lists are the most common data type used for plotting.

Example: Line Plot using List

import matplotlib.pyplot as plt

x = [1, 2, 3, 4, 5]      # list
y = [10, 20, 15, 25, 30] # list

plt.plot(x, y)
plt.title("Plot using List")
plt.xlabel("X values")
plt.ylabel("Y values")
plt.show()

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📌 2. Using TUPLE with Matplotlib

Matplotlib accepts tuples just like lists.

Example: Bar Chart using Tuple

import matplotlib.pyplot as plt

x = (1, 2, 3, 4)          # tuple
y = (5, 10, 15, 20)       # tuple

plt.bar(x, y)
plt.title("Bar Chart using Tuple")
plt.xlabel("Items")
plt.ylabel("Values")
plt.show()

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📌 3. Using SET with Matplotlib

A set does not maintain order.
We must convert it to a sorted list for plotting.

Example: Scatter Plot using Set

import matplotlib.pyplot as plt

x_set = {5, 3, 1, 4, 2}  # unordered set
y_set = {10, 50, 20, 40, 30}

x = sorted(list(x_set))   # convert → sort
y = sorted(list(y_set))

plt.scatter(x, y)
plt.title("Scatter Plot using Set")
plt.xlabel("Values X")
plt.ylabel("Values Y")
plt.show()

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📌 4. Using DICTIONARY with Matplotlib

Dictionary stores data as key:value.

Example: Bar Chart using Dictionary

import matplotlib.pyplot as plt

data = {
    "Apple": 30,
    "Banana": 45,
    "Mango": 25,
    "Orange": 40
}

x = list(data.keys())     # fruits
y = list(data.values())   # quantities

plt.bar(x, y)
plt.title("Bar Chart using Dictionary")
plt.ylabel("Quantity")
plt.show()

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🎯 Summary Table

Data Type	Accepted by Matplotlib?	Notes
List	✔ Yes	Most commonly used
Tuple	✔ Yes	Same as list
Set	⚠️ Yes but needs sorting	Convert to list first
Dictionary	✔ Yes	Use keys & values separately