- 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
How to plot a stacked event duration using Python Pandas?
To plot a stacked event duration using Python Pandas, we can take the following steps
- Set the figure size and adjust the padding between and around the subplots.
- Create a dataframe with lists of xmin and its corresponding xmax.
- Use hlines() method to plot a stacked event duration.
- To display the figure, use show() method.
Example
import pandas as pd from datetime import datetime as dt from matplotlib import pyplot as plt plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True df = pd.DataFrame(dict(xmin=[dt.strptime('1994-07-19', '%Y-%m-%d'), dt.strptime('2006-03-16', '%Y-%m-%d'), dt.strptime('1980-10-31', '%Y-%m-%d'), dt.strptime('1981-06-11', '%Y-%m-%d'), dt.strptime('2006-06-28', '%Y-%m-%d')], xmax=[dt.strptime('1998-06-30', '%Y-%m-%d'), dt.strptime('2007-01-24', '%Y-%m-%d'), dt.strptime('2007-07-31', '%Y-%m-%d'), dt.strptime('1990-08-01', '%Y-%m-%d'), dt.strptime('2007-01-24', '%Y-%m-%d')] )) plt.hlines(df.index, df.xmin, df.xmax, lw=5, colors='red') plt.show()
Output
Advertisements