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Commit 8c19e710 authored by Inigo Aldazabal's avatar Inigo Aldazabal
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Remove matplotlib section

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numpy-tutorial-clean.ipynb
View file @ 8c19e710
...@@ -80,7 +80,7 @@ ...@@ -80,7 +80,7 @@
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...@@ -249,34 +213,7 @@ ...@@ -249,34 +213,7 @@
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...@@ -292,34 +229,7 @@ ...@@ -292,34 +229,7 @@
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...@@ -367,16 +277,7 @@ ...@@ -367,16 +277,7 @@
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...@@ -460,16 +325,7 @@ ...@@ -460,16 +325,7 @@
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...@@ -577,7 +415,7 @@ ...@@ -577,7 +415,7 @@
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...@@ -600,16 +438,7 @@ ...@@ -600,16 +438,7 @@
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...@@ -636,6 +465,15 @@ ...@@ -636,6 +465,15 @@
" * `a_j = 2^(3*j) - j`\n" " * `a_j = 2^(3*j) - j`\n"
] ]
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...@@ -647,23 +485,14 @@ ...@@ -647,23 +485,14 @@
"cell_type": "markdown", "cell_type": "markdown",
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"source": [ "source": [
"#### Comparisons\n" "#### Comparisons:\n"
] ]
}, },
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...@@ -679,26 +508,7 @@ ...@@ -679,26 +508,7 @@
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...@@ -707,14 +517,14 @@ ...@@ -707,14 +517,14 @@
"cell_type": "markdown", "cell_type": "markdown",
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"source": [ "source": [
"#### Shape mismatches\n" "#### Shape mismatches"
] ]
}, },
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...@@ -723,23 +533,14 @@ ...@@ -723,23 +533,14 @@
"cell_type": "markdown", "cell_type": "markdown",
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"source": [ "source": [
"#### Transposition" "#### Transposition\n"
] ]
}, },
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...@@ -755,7 +556,7 @@ ...@@ -755,7 +556,7 @@
"cell_type": "markdown", "cell_type": "markdown",
"metadata": {}, "metadata": {},
"source": [ "source": [
"**Linear algebra**\n" "**Linear algebra**"
] ]
}, },
{ {
...@@ -785,133 +586,6 @@ ...@@ -785,133 +586,6 @@
"* Look at the help for `np.triu` and `np.tril`." "* Look at the help for `np.triu` and `np.tril`."
] ]
}, },
{
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"metadata": {},
"source": [
"## Basic matplotlib visualization"
]
},
{
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"metadata": {},
"source": [
"Now that we have our first data arrays, we are going to visualize them.\n",
"\n",
"First tell the notebook to generate the figures inline."
]
},
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"source": [
"The `inline` is important for the notebook, so that plots are displayed\n",
"in the notebook and not in a new window.\n"
]
},
{
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"source": [
"*Matplotlib* is a 2D plotting package. We can import its functions as\n",
"below:\n"
]
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"source": [
"And then use (note that you have to use `show` explicitly):\n",
"\n",
"```\n",
" plt.plot(x,y) # line plot\n",
"```"
]
},
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"source": [
"* **1D plotting**:\n"
]
},
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"* **2D arrays** (such as images):\n"
]
},
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{
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"source": [
"## Exercise: Simple visualizations"
]
},
{
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"source": [
"* Plot some simple arrays / functions.\n",
"\n",
"* Try using the `gray` colormap.\n"
]
},
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"metadata": {}, "metadata": {},
...@@ -931,16 +605,7 @@ ...@@ -931,16 +605,7 @@
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...@@ -971,7 +636,7 @@ ...@@ -971,7 +636,7 @@
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...@@ -987,34 +652,7 @@ ...@@ -987,34 +652,7 @@
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...@@ -1052,16 +690,7 @@ ...@@ -1052,16 +690,7 @@
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...@@ -1077,7 +706,7 @@ ...@@ -1077,7 +706,7 @@
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...@@ -1094,25 +723,7 @@ ...@@ -1094,25 +723,7 @@
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...@@ -1128,7 +739,7 @@ ...@@ -1128,7 +739,7 @@
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"execution_count": 1, "execution_count": 1,
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{ {
...@@ -1155,24 +766,6 @@ ...@@ -1155,24 +766,6 @@
"You can also combine assignment and slicing:\n" "You can also combine assignment and slicing:\n"
] ]
}, },
{
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...@@ -1199,9 +792,9 @@ ...@@ -1199,9 +792,9 @@
"name": "python", "name": "python",
"nbconvert_exporter": "python", "nbconvert_exporter": "python",
"pygments_lexer": "ipython3", "pygments_lexer": "ipython3",
"version": "3.6.0" "version": "3.6.1"
} }
}, },
"nbformat": 4, "nbformat": 4,
"nbformat_minor": 0 "nbformat_minor": 1
} }
numpy-tutorial.ipynb
View file @ 8c19e710
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