Use Error Bars in a Bar Chart
Description:
This program creates a bar chart and adds error bars to represent uncertainty or variability (e.g., standard deviation or confidence intervals) in the data.
Code Explanation:
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Error bars show the uncertainty or variation in data.
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yerrparameter is used inbar()to add error values. -
Vertical lines on each bar represent possible data range.
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Useful in experiments or surveys where variation is expected.
Program:
import matplotlib.pyplot as plt
# Sample data
categories = ['A', 'B', 'C', 'D']
values = [20, 35, 30, 25]
errors = [2, 3, 4, 2] # error margins for each bar
# Plotting the bar chart with error bars
plt.bar(categories, values, yerr=errors, capsize=5, color='skyblue')
# Adding title and labels
plt.title('Bar Chart with Error Bars')
plt.xlabel('Category')
plt.ylabel('Value')
# Show grid
plt.grid(axis='y')
# Show the plot
plt.show()
Output:
