How to Get Unique (Distinct) Values of a Column in Pandas (Python)
101↓ Code Available Below! ↓
This video shows how to check the unique or distinct values in a column of a pandas data frame. This can be useful to get an idea of the number of variety of values in a given column. The video also shows a method for checking all the combinations of values in two or more columns.
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Code used in this Python Code Clip:
import pandas as pd
import statsmodels.api as sm #(To access mtcars dataset)
mtcars = sm.datasets.get_rdataset("mtcars", "datasets", cache=True).data
mtcars.head()
# Get unique entries of a column with series.unique()
mtcars["cyl"].unique()
# Get unique entries across multiple columns
mtcars_subset = mtcars[["cyl", "gear"]]
mtcars_subset.drop_duplicates().reset_index(drop=True)
* Note: YouTube does not allow greater than or less than symbols in the text description, so the code above will not be exactly the same as the code shown in the video! I will use Unicode large ＜ and ＞ symbols in place of the standard sized ones. .
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