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Python Pandas - Return an IntervalArray identical to the current one but closed on the left side
<p>To return an IntervalArray identical to the current one but closed on the left side, use the <strong>set_closed()</strong> method with value <strong>left</strong>.</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>Create IntervalArray −</p><pre class="just-code notranslate language-python3" data-lang="python3">index = pd.arrays.IntervalArray.from_breaks(range(5))</pre><p>Display the interval −</p><pre class="just-code notranslate language-python3" data-lang="python3">print("IntervalIndex... ",index)</pre><p>Return an IntervalArray identical to the current one but closed on specified side i.e. "left" here −</p><pre class="just-code notranslate language-python3python" data-lang="python3">print(" Result...",index.set_closed('left')) </pre><h2>Example</h2><p>Following is the code −</p><pre class="demo-code notranslate language-python3" data-lang="python3">import pandas as pd # Create IntervalArray index = pd.arrays.IntervalArray.from_breaks(range(5)) # Display the interval print("IntervalIndex... ",index) # Display the interval length print(" IntervalIndex length... ",index.length) # the left bound print(" The left bound for the IntervalIndex... ",index.left) # the right bound print(" The right bound for the IntervalIndex... ",index.right) # Return an IntervalArray identical to the current one but closed on specified # side i.e. "left" here print(" Result...",index.set_closed('left'))</pre><h2>Output</h2><p>This will produce the following output −</p><pre class="result notranslate">IntervalIndex... <IntervalArray> [(0, 1], (1, 2], (2, 3], (3, 4]] Length: 4, dtype: interval[int64, right] IntervalIndex length... Int64Index([1, 1, 1, 1], dtype='int64') The left bound for the IntervalIndex... Int64Index([0, 1, 2, 3], dtype='int64') The right bound for the IntervalIndex... Int64Index([1, 2, 3, 4], dtype='int64') Result... <IntervalArray> [[0, 1), [1, 2), [2, 3), [3, 4)] Length: 4, dtype: interval[int64, left]</pre>
Updated on 18-Oct-2021 08:07:24
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