Saturday 13 July 2024

Different Line graph plot using Python

 

5. Interactive Line Graph using Plotly

import plotly.express as px


# Sample data

data = {

    'x': [1, 2, 3, 4, 5],

    'y': [2, 3, 5, 7, 11]

}


# Creating an interactive line plot

fig = px.line(data, x='x', y='y', 

              title='Interactive Line Graph using Plotly', markers=True)

fig.show()


4. Line Graph using Seaborn

import seaborn as sns

import matplotlib.pyplot as plt


# Sample data

data = {

    'x': [1, 2, 3, 4, 5],

    'y': [2, 3, 5, 7, 11]

}


# Creating a Seaborn line plot

sns.lineplot(x='x', y='y', data=data, marker='o')

plt.title('Line Graph using Seaborn')

plt.xlabel('X-axis')

plt.ylabel('Y-axis')

plt.grid(True)

plt.show()

3. Line Graph with Error Bars using Matplotlib

import matplotlib.pyplot as plt

import numpy as np


# Sample data

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

y = np.array([2, 3, 5, 7, 11])

yerr = np.array([0.5, 0.4, 0.3, 0.2, 0.1])


# Plotting the line graph with error bars

plt.errorbar(x, y, yerr=yerr, fmt='-o', capsize=5)

plt.title('Line Graph with Error Bars')

plt.xlabel('X-axis')

plt.ylabel('Y-axis')

plt.grid(True)

plt.show()

2. Multiple Line Graphs using Matplotlib

import matplotlib.pyplot as plt


# Sample data

x = [1, 2, 3, 4, 5]

y1 = [2, 3, 5, 7, 11]

y2 = [1, 4, 6, 8, 10]


# Plotting multiple line graphs

plt.plot(x, y1, label='Line 1', marker='o')

plt.plot(x, y2, label='Line 2', marker='s')

plt.title('Multiple Line Graphs')

plt.xlabel('X-axis')

plt.ylabel('Y-axis')

plt.legend()

plt.grid(True)

plt.show()

1. Basic Line Graph using Matplotlib

import matplotlib.pyplot as plt


# Sample data

x = [1, 2, 3, 4, 5]

y = [2, 3, 5, 7, 11]


# Plotting the line graph

plt.plot(x, y, marker='o')

plt.title('Basic Line Graph')

plt.xlabel('X-axis')

plt.ylabel('Y-axis')

plt.grid(True)

plt.show()

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