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@@ -2239,13 +2239,20 @@ sudo apt install python3-numpy python3-matplotlib libatlas-base-dev libopenblas-
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</code></pre></div>
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<p>Next, in order to install NumPy in the Klipper environment, run the command:</p>
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<div class="highlight"><pre><span></span><code>~/klippy-env/bin/pip install -v numpy
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<div class="highlight"><pre><span></span><code>~/klippy-env/bin/pip install -v "numpy<1.26"
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</code></pre></div>
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<p>Note that, depending on the performance of the CPU, it may take <em>a lot</em>
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of time, up to 10-20 minutes. Be patient and wait for the completion of
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the installation. On some occasions, if the board has too little RAM
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the installation may fail and you will need to enable swap.</p>
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the installation may fail and you will need to enable swap. Also note
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the forced version, due to newer versions of NumPY having requirements
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that may not be satisfied in some klipper python environments.</p>
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<p>Once installed please check that no errors show from the command:</p>
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<div class="highlight"><pre><span></span><code>~/klippy-env/bin/python -c 'import numpy;'
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</code></pre></div>
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<p>The correct output should simply be a new line.</p>
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<h4 id="configure-adxl345-with-rpi">Configure ADXL345 With RPi<a class="headerlink" href="#configure-adxl345-with-rpi" title="Permanent link">¶</a></h4>
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<p>First, check and follow the instructions in the
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<a href="RPi_microcontroller.html">RPi Microcontroller document</a> to setup the
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