search
Search
Unlock 100+ guides
search toc
close
Cancel
Post
account_circle
Profile
exit_to_app
Sign out
What does this mean?
Why is this true?
Give me some examples!
search
keyboard_voice
close
Searching Tips
Search for a recipe:
"Creating a table in MySQL"
Search for an API documentation: "@append"
Search for code: "!dataframe"
Apply a tag filter: "#python"
Useful Shortcuts
/ to open search panel
Esc to close search panel
to navigate between search results
d to clear all current filters
Enter to expand content preview
Doc Search
Code Search Beta
SORRY NOTHING FOUND!
mic
Start speaking...
Voice search is only supported in Safari and Chrome.
Shrink
Navigate to
Pandas
655 guides
keyboard_arrow_down
check_circle
Mark as learned
thumb_up
0
thumb_down
0
chat_bubble_outline
0
Comment
auto_stories Bi-column layout
settings

# Pandas Series | argmax method

schedule Aug 11, 2023
Last updated
local_offer
PythonPandas
Tags
expand_more
mode_heat
Master the mathematics behind data science with 100+ top-tier guides
Start your free 7-days trial now!

Pandas `Series.argmax(~)` returns the integer index of the maximum value in the Series. If there are multiple maximums, then the integer index of the first occurrence will be returned.

# Parameters

1. `skipna` | `boolean` | `optional`

Whether or not to ignore missing value. If `False` and Series contains a missing value, then the method returns a `-1`. By default, `skipna=True`.

# Return Value

An `int`.

# Examples

## Basic usage

To get the integer index of the maximum value in a Series:

``` s = pd.Series([3,5,4,5], index=["A","B","C","D"])s.argmax() 1 ```

Notice how the integer index of the first maximum is returned.

## Specifying skipna

By default, `skipna=True`, which means that missing values are ignored:

``` s = pd.Series([3,pd.np.nan,4], index=["A","B","C"])s.argmax() # skipna=True 2 ```

If `skipna=False` and a missing value exists in the Series, then `-1` is returned:

``` s = pd.Series([3,pd.np.nan,4], index=["A","B","C"])s.argmax(skipna=False) -1 ```

Edited by 0 others
thumb_up
thumb_down
Comment
Citation
Ask a question or leave a feedback...
thumb_up
0
thumb_down
0
chat_bubble_outline
0
settings
Enjoy our search
Hit / to insta-search docs and recipes!