How to plot timeseries data in Python

  • Context: Python 
  • Thread starter Thread starter msn009
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SUMMARY

The discussion centers on plotting timeseries data in Python using the pandas library. The original poster (OP) is attempting to visualize trends for different types within a dataframe, specifically focusing on type A, which requires two lines in the graph. The challenge lies in formatting the data correctly for pandas to process. The conversation highlights the importance of data structure in achieving the desired visualization.

PREREQUISITES
  • Understanding of pandas library for data manipulation
  • Familiarity with timeseries data structures
  • Basic knowledge of Python programming
  • Experience with data visualization libraries such as Matplotlib or Seaborn
NEXT STEPS
  • Learn how to reshape dataframes using pandas' pivot_table or melt functions
  • Explore Matplotlib for creating multi-line plots
  • Investigate Seaborn for enhanced data visualization options
  • Study examples of timeseries plotting in Python to understand best practices
USEFUL FOR

Data analysts, Python developers, and anyone interested in visualizing timeseries data using pandas and related libraries.

msn009
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I have a dataframe that looks as attached. What I aiming to do is to plot the lines for each type where if it is for type A, I want to be able to have two lines in the graph that shows the trend for type A. I was not able to find any examples online especially with the format of the data in this way. The feat column type is in series form. any ideas will be much appreciated. thanks.
 

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For those who have not been following the many similar posts, note that the OP is using the pandas library and his problem seems to revolve around getting the data into the format pandas requires.
 

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