How to Print Unique Values in Pandas Dataframe Columns

print unique column values in Pandas dataframe

A quick post representing code sample on how to print unique values in Dataframe columns in Pandas. Here is a data frame comprising of oil prices on different dates which column such as year comprising of repeated/duplicate value of years.

Fig 1. Dataframe representing oil prices

In the above data frame, the requirement is to print the unique value of year column. Here is the code for same. Note the method unique()

for year in df['year'].unique():
  print(year)
Ajitesh Kumar
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Ajitesh Kumar

I have been recently working in the area of Data Science and Machine Learning / Deep Learning. In addition, I am also passionate about various different technologies including programming languages such as Java/JEE, Javascript, Python, R, Julia etc and technologies such as Blockchain, mobile computing, cloud-native technologies, application security, cloud computing platforms, big data etc. I would love to connect with you on Linkedin.
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