- Data Structure
- Networking
- RDBMS
- Operating System
- Java
- MS Excel
- iOS
- HTML
- CSS
- Android
- Python
- C Programming
- C++
- C#
- MongoDB
- MySQL
- Javascript
- PHP
- Physics
- Chemistry
- Biology
- Mathematics
- English
- Economics
- Psychology
- Social Studies
- Fashion Studies
- Legal Studies
- Selected Reading
- UPSC IAS Exams Notes
- Developer's Best Practices
- Questions and Answers
- Effective Resume Writing
- HR Interview Questions
- Computer Glossary
- Who is Who
Indicating the statistically significant difference in bar graph (Matplotlib)
To indicate the statistically significant difference in bar graph, we can take the following steps −
- Set the figure size and adjust the padding between and around the subplots.
- Create means, std, index, width and labels data points.
- Create a figure and a set of subplots using subplots() method.
- Make a bar plot using bar() method.
- Plot Y versus X as lines and/or markers with attached errorbars.Scale the Y-axis.
- Get or set the current tick locations and labels of the X-axis.
- To display the figure, use show() method.
Example
import numpy as np import matplotlib.pyplot as plt plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True means = (5, 15, 30, 40) std = (2, 3, 4, 5) index = np.arange(4) width = 0.7 labels = ('A', 'B', 'C', 'D') fig, ax = plt.subplots() ax.p1 = plt.bar(index, means, width=width, color="red", linewidth=2, zorder=5, alpha=0.5) ax.errs = plt.errorbar(index, means, yerr=std) plt.ylim(ymax=60) plt.xticks(index, labels, color='k') plt.show()
Output
Advertisements