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substract=>subtract, fixes https://github.com/ageron/handson-ml/issues/623

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Aurélien Geron 2021-04-07 08:53:35 +12:00
parent df0ae93b76
commit d603987a20
2 changed files with 5 additions and 5 deletions
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2
math_linear_algebra.ipynb
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@ -473,7 +473,7 @@
"cell_type": "markdown",
"metadata": {},
"source": [
"Finally, substracting a vector is like adding the opposite vector."
"Finally, subtracting a vector is like adding the opposite vector."
]
},
{

8
tools_pandas.ipynb
View File

@ -1841,7 +1841,7 @@
"cell_type": "markdown",
"metadata": {},
"source": [
"If you add a `Series` object to a `DataFrame` (or execute any other binary operation), pandas attempts to broadcast the operation to all *rows* in the `DataFrame`. This only works if the `Series` has the same size as the `DataFrame`s rows. For example, let's substract the `mean` of the `DataFrame` (a `Series` object) from the `DataFrame`:"
"If you add a `Series` object to a `DataFrame` (or execute any other binary operation), pandas attempts to broadcast the operation to all *rows* in the `DataFrame`. This only works if the `Series` has the same size as the `DataFrame`s rows. For example, let's subtract the `mean` of the `DataFrame` (a `Series` object) from the `DataFrame`:"
]
},
{
@ -1857,7 +1857,7 @@
"cell_type": "markdown",
"metadata": {},
"source": [
"We substracted `7.75` from all September grades, `8.75` from October grades and `7.50` from November grades. It is equivalent to substracting this `DataFrame`:"
"We subtracted `7.75` from all September grades, `8.75` from October grades and `7.50` from November grades. It is equivalent to subtracting this `DataFrame`:"
]
},
{
@ -1873,7 +1873,7 @@
"cell_type": "markdown",
"metadata": {},
"source": [
"If you want to substract the global mean from every grade, here is one way to do it:"
"If you want to subtract the global mean from every grade, here is one way to do it:"
]
},
{
@ -1884,7 +1884,7 @@
},
"outputs": [],
"source": [
"grades - grades.values.mean() # substracts the global mean (8.00) from all grades"
"grades - grades.values.mean() # subtracts the global mean (8.00) from all grades"
]
},
{