Dataframe Count Unique Values
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Dataframe Count Unique Values
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Count Unique Values By Group In Column Of Pandas DataFrame In Python
You can use the nunique function to count the number of unique values in a pandas DataFrame This function uses the following basic syntax count unique values in each column df nunique count unique values in each row df nunique axis 1 The following examples show how to use this function in practice with the following pandas pandas.Series.value_counts() returns unique values and their counts as a Series; pandas.Series.nunique() and pandas.DataFrame.nunique() return the number of unique values as either an int or a Series; This article begins by explaining the basic usage of each method, then shows how to get unique values and their counts, and more.
Pandas Get All Unique Values In A Column Data Science Parichay
Dataframe Count Unique Values%timeit df.nunique() 10 loops, best of 3: 59.7 ms per loop. %timeit df.apply(pd.Series.nunique) 10 loops, best of 3: 60.3 ms per loop. %timeit df.T.apply(lambda x: x.nunique(), axis=1) 10 loops, best of 3: 60.5 ms per loop. python. numpy. pandas. edited Nov 9, 2018 at 22:08. Max Ghenis. 15.4k 17 87 138. asked May 28, 2015 at 10:03.. Parameters subsetlabel or list of labels optional Columns to use when counting unique combinations normalizebool default False Return proportions rather than frequencies sortbool default True Sort by frequencies when True Sort by DataFrame column values when False ascendingbool default False Sort in ascending order
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