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The Python programming language. Contribute to python/cpython development by creating an account on GitHub. Python min Function. Python min function is used to get the smallest element from the collection. This function takes two arguments, first is a collection of elements and second is key and returns the smallest element from the collection. Min(80, 100, 1000): 80 min(-20, 100, 400): -20 min(-80, -20, -10): -80 min(0, 100, -400): -400. Python min function returns the smallest of the value or smallest item in an iterable passed as its parameter. There are two types of min function – min functions with objects min functions with an iterable. Description The java.lang.Math.min (int a, int b) returns the smaller of two int values. That is, the result is the value closer to negative infinity. If the arguments have the same value, the result is that same value.

Python examples to find the largest (or the smallest) item in a collection (e.g. list, set or array) of comparable elements using max() and min() methods.

1. Python max() function

max() function is used to –

1. Compute the maximum of the values passed in its argument.
2. Lexicographically largest value if strings are passed as arguments.

1.1. Find largest integer in array

1.2. Find largest string in array

1.3. Find max key or value

Python Find Min

A little complex structure.

2. Python min() function

This function is used to –

1. compute the minimum of the values passed in its argument.
2. lexicographically smallest value if strings are passed as arguments.

2.1. Find lowest integer in array

2.2. Find smallest string in array

2.3. Find min key or value

A little complex structure.

Happy Learning !!

« Pandas
We can minimum number in rows or columns by using min()

Import Math Library In Python

.
Output What is the minimum mark in MATH ? We can get the row or details of the record who got minimum mark in MATH Output is here

Using axis

We will use option axis=0 ( default ) by adding to above code.
( The last line is only changed ) Output is here We are getting all the minimum values from the ID column. You can change the DataFrame and then check the minimum value.

level option

For MultiIndex (hierarchical) axis we can specify the level. Output

Handling NA data using skipna option

We will use skipna=True to ignore the null or NA data. Let us check what happens if it is set to True ( skipna=True ) Output

numeric_only

Default value is None, we can set it to True ( numeric_only=True ) to include only float, int, boolean columns. We can included all by setting it to False (

Python Math Min Float

numeric_only=False ) . Let us see the outputs . Output is here « PandasPlotting graphsmeansummaxlenstd