Index.value_counts()
Pandas Index.value_counts()
returns an object containing the number of unique values. The resulting object will be in descending order, so the first item is the most common item. Excludes NA values ​​by default.
Syntax: Index.value_counts (normalize = False, sort = True, ascending = False, bins = None, dropna = True)
Parameters:
normalize: If True then the object returned will contain the relative frequencies of the unique values.
sort: Sort by values ​​
ascending: Sort in ascending order
bins: Rather than count values, group them into half- open bins, a convenience for pd.cut, only works with numeric data
dropna: Don’t include counts of NaN.Returns: counts: Series
Example # 1: Use Index.value_counts ()
to count the number of unique values ​​in a given index.
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Output:
Let’s find the count of all unique values ‚Äã‚Äãin the index.
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Output:
The function returned a counter of all unique values ​​in the given index. Note that the object returned by the function contains occurrences of values ​​in descending order.
Example # 2: Use Index.value_counts ()
to find the count all unique values ​​in this index.
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Output:
Let’s count the occurrence of all unique values ‚Äã‚Äãin the index.
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Output:
The function returned a counter of all unique values in the index.