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Python Pandas - Return the int position of the largest value in the Index
<p>To return the int position of the largest value in the Index, use the <strong>index.argmax()</strong> method.</p><p>At first, import the required libraries −</p><pre class="just-code notranslate language-python3" data-lang="python3">import pandas as pd</pre><p>Creating the index −</p><pre class="just-code notranslate language-python3" data-lang="python3">index = pd.Index([15, 25, 55, 10, 100, 70, 35, 40, 55]) </pre><p>Display the index −</p><pre class="just-code notranslate language-python3" data-lang="python3">print("Pandas Index... ",index)</pre><p>Get the int position of the largest value in the Index −</p><pre class="just-code notranslate language-python3" data-lang="python3">print(" Get the int position of the largest value in the Index... ",index.argmax()) </pre><h2>Example</h2><p>Following is the code −</p><pre class="demo-code notranslate language-python3" data-lang="python3">import pandas as pd # Creating the index index = pd.Index([15, 25, 55, 10, 100, 70, 35, 40, 55]) # Display the index print("Pandas Index... ",index) # Return a tuple of the shape of the underlying data print(" A tuple of the shape of underlying data... ",index.shape) # Return the number of elements in the Index print(" Number of elements in the index... ",index.size) # The int position of the largest value in the Index print(" Get the int position of the largest value in the Index... ",index.argmax()) </pre><h2>Output</h2><p>This will produce the following code −</p><pre class="result notranslate">Pandas Index... Int64Index([15, 25, 55, 10, 100, 70, 35, 40, 55], dtype='int64') A tuple of the shape of underlying data... (9,) Number of elements in the index... 9 Get the int position of the largest value in the Index... 4</pre>
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