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@@ -2822,8 +2822,7 b' The sum of elements along the columns is : [ 4 6 8 10]' | |||||
2822 | </div> |
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2822 | </div> | |
2823 | </div> |
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2823 | </div> | |
2824 | <div class="text_cell_render border-box-sizing rendered_html"> |
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2824 | <div class="text_cell_render border-box-sizing rendered_html"> | |
2825 |
<p>As you can see in this example, the value of the <code>axis</code> parameter is the dimension which will be <em>consumed</em> once the operation has been carried out. This is why to sum along the rows we use <code>axis=0</code>.< |
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2825 | <p>As you can see in this example, the value of the <code>axis</code> parameter is the dimension which will be <em>consumed</em> once the operation has been carried out. This is why to sum along the rows we use <code>axis=0</code>.</p> | |
2826 | </p> |
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2827 | <p>This can be easily illustrated with an example that has more dimensions; we create an array with 4 dimensions and shape <code>(3,4,5,6)</code> and sum along the axis number 2 (i.e. the <em>third</em> axis, since in Python all counts are 0-based). That consumes the dimension whose length was 5, leaving us with a new array that has shape <code>(3,4,6)</code>:</p> |
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2826 | <p>This can be easily illustrated with an example that has more dimensions; we create an array with 4 dimensions and shape <code>(3,4,5,6)</code> and sum along the axis number 2 (i.e. the <em>third</em> axis, since in Python all counts are 0-based). That consumes the dimension whose length was 5, leaving us with a new array that has shape <code>(3,4,6)</code>:</p> | |
2828 | </div> |
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2827 | </div> | |
2829 | <div class="cell border-box-sizing code_cell vbox"> |
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2828 | <div class="cell border-box-sizing code_cell vbox"> |
@@ -2184,7 +2184,7 b'' | |||||
2184 | "cell_type": "markdown", |
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2184 | "cell_type": "markdown", | |
2185 | "metadata": {}, |
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2185 | "metadata": {}, | |
2186 | "source": [ |
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2186 | "source": [ | |
2187 |
"As you can see in this example, the value of the `axis` parameter is the dimension which will be *consumed* once the operation has been carried out. This is why to sum along the rows we use `axis=0`. |
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2187 | "As you can see in this example, the value of the `axis` parameter is the dimension which will be *consumed* once the operation has been carried out. This is why to sum along the rows we use `axis=0`.\n", | |
2188 | "\n", |
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2188 | "\n", | |
2189 | "This can be easily illustrated with an example that has more dimensions; we create an array with 4 dimensions and shape `(3,4,5,6)` and sum along the axis number 2 (i.e. the *third* axis, since in Python all counts are 0-based). That consumes the dimension whose length was 5, leaving us with a new array that has shape `(3,4,6)`:" |
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2189 | "This can be easily illustrated with an example that has more dimensions; we create an array with 4 dimensions and shape `(3,4,5,6)` and sum along the axis number 2 (i.e. the *third* axis, since in Python all counts are 0-based). That consumes the dimension whose length was 5, leaving us with a new array that has shape `(3,4,6)`:" | |
2190 | ] |
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2190 | ] | |
@@ -29006,4 +29006,4 b'' | |||||
29006 | "metadata": {} |
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29006 | "metadata": {} | |
29007 | } |
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29007 | } | |
29008 | ] |
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29008 | ] | |
29009 | } No newline at end of file |
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29009 | } |
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