How to check if your DataFrame is empty with Pandas using Python
Land Your First Data Science Job
A proven roadmap to prepare for $75K+ entry-level data roles. Perfect for Data Scientist ready to level up their career.
To check if your DataFrame is empty, you can use the DataFrame.empty property that will return either True or False.
Here is the code
# We import our pandas as library
import pandas as pd
# We create a sample dataframe
df = pd.DataFrame({"col1" : [-13, 21, -2, 10]})
# We print if our DataFrame is empty
print(df.empty)
Here you are! You now know how to check if your DataFrame is empty with Pandas using Python.
More on DataFrames
If you want to know more about DataFrame and Pandas. Check out the other articles I wrote on the topic, just here :
Land Your First Data Science Job
A proven roadmap to prepare for $75K+ entry-level data roles. Perfect for Data Scientist ready to level up their career.
Related Articles
Continue your learning journey with these related topics
Master Data Science in Days, Not Months 🚀
Skip the theoretical rabbit holes. Get practical data science skills delivered in bite-sized lessons – Approach used by real data scientist. Not bookworms. 📚