Python Pandas - Create an IntervalArray from an array of splits and check the intervals are closed on the left or right-side, both or neither

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<p>To create an IntervalArray from an array of splits, use the <strong>pandas.arrays.IntervalArray.from_breaks().</strong></p><p>To check the intervals are closed on the left or right-side, both or neither, use the array.closed property.</p><p>At first, import the required libraries &minus;</p><pre class="just-code notranslate language-python3" data-lang="python3">import pandas as pd</pre><p>Construct a new IntervalArray from an array-like of splits. The intervals are closed on the &quot;right&quot; by default &minus;</p><pre class="just-code notranslate language-python3" data-lang="python3">array = pd.arrays.IntervalArray.from_breaks([0, 1, 2, 3, 4, 5]) </pre><p>Display the intervals &minus;</p><pre class="just-code notranslate language-python3" data-lang="python3">print(&quot;Our IntervalArray... &quot;,array)</pre><p>Check whether the intervals in the Interval Array is closed on the left-side, right-side, both or neither &minus;</p><pre class="just-code notranslate language-python3" data-lang="python3">print(&quot; Checking whether the intervals is closed... &quot;,array.closed) </pre><h2>Example</h2><p>Following is the code &minus;</p><pre class="demo-code notranslate language-python3" data-lang="python3">import pandas as pd # Construct a new IntervalArray from an array-like of splits # the intervals are closed on the &quot;right&quot; by default array = pd.arrays.IntervalArray.from_breaks([0, 1, 2, 3, 4, 5]) # Display the IntervalArray print(&quot;Our IntervalArray... &quot;,array) # Getting the length of IntervalArray # Returns an Index with entries denoting the length of each Interval in the IntervalArray print(&quot; Our IntervalArray length... &quot;,array.length) # midpoint of each Interval in the IntervalArray as an Index print(&quot; The midpoint of each interval in the IntervalArray... &quot;,array.mid) # get the right endpoints print(&quot; The right endpoints of each Interval in the IntervalArray as an Index... &quot;,array.right) # check whether the intervals in the Interval Array is closed on the left-side, right-side, # both or neither print(&quot; Checking whether the intervals is closed... &quot;,array.closed)</pre><h2>Output</h2><p>This will produce the following code &minus;</p><pre class="result notranslate">Our IntervalArray... &lt;IntervalArray&gt; [(0, 1], (1, 2], (2, 3], (3, 4], (4, 5]] Length: 5, dtype: interval[int64, right] Our IntervalArray length... Int64Index([1, 1, 1, 1, 1], dtype=&#39;int64&#39;) The midpoint of each interval in the IntervalArray... Float64Index([0.5, 1.5, 2.5, 3.5, 4.5], dtype=&#39;float64&#39;) The right endpoints of each Interval in the IntervalArray as an Index... Int64Index([1, 2, 3, 4, 5], dtype=&#39;int64&#39;) Checking whether the intervals is closed... Right</pre>
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Updated on 13-Oct-2021 10:59:15

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