Python sample code for visualize data using line grap | S-Logix

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How to Visualize Data Using Line Graph in Python

Line Graph in Python

Condition for Visualizing Data Using Line Graph in Python

Description:
A line graph is a type of chart used to visualize data points connected by a straight or smooth line. It is especially effective for showing trends over time, relationships between variables, or changes in values across a sequence.

Step-by-Step Process

Import Libraries:
Import Matplotlib and Seaborn for enhanced aesthetics.
Prepare Data:
Ensure your data is in a format suitable for plotting.
Create the Plot:
Use the plot() function from Matplotlib to create a line graph.
Customize the Graph:
Add labels, titles, legends, grid lines, etc., for clarity and better presentation.
Display the Graph:
Use the show() function to render the plot.

Sample Source Code

# Line-graph plotting

import seaborn as sns
import matplotlib.pyplot as plt
import pandas as pd

data = {
"Year": [2010, 2012, 2014, 2016, 2018, 2020],
"Population": [2.5, 2.7, 3.0, 3.5, 4.0, 4.5]
}
df = pd.DataFrame(data)

plt.figure(figsize=(8, 5))
sns.lineplot(data=df, x="Year", y="Population", marker='o', color="blue", label="Population")

plt.title("World Population Growth Over Time ", fontsize=14)
plt.xlabel("Year", fontsize=12)
plt.ylabel("Population (in billions)", fontsize=12)
plt.grid(True)
plt.legend()

plt.show()

Screenshots

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