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authorrossbar <rossbar@berkeley.edu>2023-02-26 02:01:16 +0000
committerrossbar <rossbar@berkeley.edu>2023-02-26 02:01:16 +0000
commitcbab7889c75d2dcc729a104114e8c42bcb91fcea (patch)
treef230a231dc39338713dbc0bcbe09af234a39f3cb /reference
parent9e48ac05060c8f42de0e92d4e7e5b157b1c38978 (diff)
downloadnetworkx-cbab7889c75d2dcc729a104114e8c42bcb91fcea.tar.gz
Deploying to gh-pages from @ networkx/networkx@045c46c2ef652b8793bfd36ce31400c693b54438 🚀
Diffstat (limited to 'reference')
-rw-r--r--reference/index.html2
-rw-r--r--reference/introduction-7.hires.pngbin75589 -> 76753 bytes
-rw-r--r--reference/introduction-7.pdfbin2494 -> 2499 bytes
-rw-r--r--reference/introduction-7.pngbin25361 -> 25334 bytes
-rw-r--r--reference/introduction.ipynb36
-rw-r--r--reference/introduction_full.ipynb110
6 files changed, 74 insertions, 74 deletions
diff --git a/reference/index.html b/reference/index.html
index 5d980ed0..e82c6d89 100644
--- a/reference/index.html
+++ b/reference/index.html
@@ -508,7 +508,7 @@
<dd class="field-odd"><p>3.1rc1.dev0</p>
</dd>
<dt class="field-even">Date<span class="colon">:</span></dt>
-<dd class="field-even"><p>Feb 23, 2023</p>
+<dd class="field-even"><p>Feb 26, 2023</p>
</dd>
</dl>
</div></blockquote>
diff --git a/reference/introduction-7.hires.png b/reference/introduction-7.hires.png
index 5d8750f1..32217995 100644
--- a/reference/introduction-7.hires.png
+++ b/reference/introduction-7.hires.png
Binary files differ
diff --git a/reference/introduction-7.pdf b/reference/introduction-7.pdf
index 3f99a2c6..01514330 100644
--- a/reference/introduction-7.pdf
+++ b/reference/introduction-7.pdf
Binary files differ
diff --git a/reference/introduction-7.png b/reference/introduction-7.png
index 8f0ac528..a025c927 100644
--- a/reference/introduction-7.png
+++ b/reference/introduction-7.png
Binary files differ
diff --git a/reference/introduction.ipynb b/reference/introduction.ipynb
index 9eb98503..37ee5ea1 100644
--- a/reference/introduction.ipynb
+++ b/reference/introduction.ipynb
@@ -2,7 +2,7 @@
"cells": [
{
"cell_type": "markdown",
- "id": "1d4511a9",
+ "id": "b5a8eb6b",
"metadata": {},
"source": [
"## Introduction\n",
@@ -34,7 +34,7 @@
{
"cell_type": "code",
"execution_count": null,
- "id": "ce2d887e",
+ "id": "5695930c",
"metadata": {},
"outputs": [],
"source": [
@@ -43,7 +43,7 @@
},
{
"cell_type": "markdown",
- "id": "9f64341f",
+ "id": "692c2305",
"metadata": {},
"source": [
"To save repetition, in the documentation we assume that\n",
@@ -82,7 +82,7 @@
{
"cell_type": "code",
"execution_count": null,
- "id": "41a6d1a4",
+ "id": "cb802a24",
"metadata": {},
"outputs": [],
"source": [
@@ -94,7 +94,7 @@
},
{
"cell_type": "markdown",
- "id": "823ac6c3",
+ "id": "bf48d000",
"metadata": {},
"source": [
"All graph classes allow any [hashable](https://docs.python.org/3/glossary.html#term-hashable) object as a node.\n",
@@ -193,7 +193,7 @@
{
"cell_type": "code",
"execution_count": null,
- "id": "06a5fe88",
+ "id": "b57bd24b",
"metadata": {},
"outputs": [],
"source": [
@@ -205,7 +205,7 @@
},
{
"cell_type": "markdown",
- "id": "84b2c0f9",
+ "id": "af944dba",
"metadata": {},
"source": [
"Edge attributes can be anything:"
@@ -214,7 +214,7 @@
{
"cell_type": "code",
"execution_count": null,
- "id": "05755dba",
+ "id": "e2400ba2",
"metadata": {},
"outputs": [],
"source": [
@@ -225,7 +225,7 @@
},
{
"cell_type": "markdown",
- "id": "26d67320",
+ "id": "30ce4b31",
"metadata": {},
"source": [
"You can add many edges at one time:"
@@ -234,7 +234,7 @@
{
"cell_type": "code",
"execution_count": null,
- "id": "a308ce23",
+ "id": "6f3061ba",
"metadata": {},
"outputs": [],
"source": [
@@ -246,7 +246,7 @@
},
{
"cell_type": "markdown",
- "id": "3fd1985e",
+ "id": "cf4c1a29",
"metadata": {},
"source": [
"See the Tutorial for more examples.\n",
@@ -311,7 +311,7 @@
{
"cell_type": "code",
"execution_count": null,
- "id": "a7a29dfb",
+ "id": "33060076",
"metadata": {},
"outputs": [],
"source": [
@@ -323,7 +323,7 @@
},
{
"cell_type": "markdown",
- "id": "43ed8e28",
+ "id": "43a66e19",
"metadata": {},
"source": [
"# Drawing\n",
@@ -344,7 +344,7 @@
{
"cell_type": "code",
"execution_count": null,
- "id": "2ef83563",
+ "id": "50d5b2a3",
"metadata": {},
"outputs": [],
"source": [
@@ -358,7 +358,7 @@
},
{
"cell_type": "markdown",
- "id": "516d065f",
+ "id": "3a564e32",
"metadata": {},
"source": [
"See the examples for more ideas.\n",
@@ -398,7 +398,7 @@
{
"cell_type": "code",
"execution_count": null,
- "id": "24f67a10",
+ "id": "8867e559",
"metadata": {},
"outputs": [],
"source": [
@@ -410,7 +410,7 @@
},
{
"cell_type": "markdown",
- "id": "fcf9bd4e",
+ "id": "475498e4",
"metadata": {},
"source": [
"The data structure gets morphed slightly for each base graph class.\n",
@@ -428,7 +428,7 @@
{
"cell_type": "code",
"execution_count": null,
- "id": "16d2dc5c",
+ "id": "843dfcd2",
"metadata": {},
"outputs": [],
"source": [
diff --git a/reference/introduction_full.ipynb b/reference/introduction_full.ipynb
index fcbe9948..73dd2f07 100644
--- a/reference/introduction_full.ipynb
+++ b/reference/introduction_full.ipynb
@@ -2,7 +2,7 @@
"cells": [
{
"cell_type": "markdown",
- "id": "1d4511a9",
+ "id": "b5a8eb6b",
"metadata": {},
"source": [
"## Introduction\n",
@@ -34,13 +34,13 @@
{
"cell_type": "code",
"execution_count": 1,
- "id": "ce2d887e",
+ "id": "5695930c",
"metadata": {
"execution": {
- "iopub.execute_input": "2023-02-23T15:29:13.145901Z",
- "iopub.status.busy": "2023-02-23T15:29:13.145407Z",
- "iopub.status.idle": "2023-02-23T15:29:13.246506Z",
- "shell.execute_reply": "2023-02-23T15:29:13.245498Z"
+ "iopub.execute_input": "2023-02-26T01:59:50.313796Z",
+ "iopub.status.busy": "2023-02-26T01:59:50.313539Z",
+ "iopub.status.idle": "2023-02-26T01:59:50.385812Z",
+ "shell.execute_reply": "2023-02-26T01:59:50.384788Z"
}
},
"outputs": [],
@@ -50,7 +50,7 @@
},
{
"cell_type": "markdown",
- "id": "9f64341f",
+ "id": "692c2305",
"metadata": {},
"source": [
"To save repetition, in the documentation we assume that\n",
@@ -89,13 +89,13 @@
{
"cell_type": "code",
"execution_count": 2,
- "id": "41a6d1a4",
+ "id": "cb802a24",
"metadata": {
"execution": {
- "iopub.execute_input": "2023-02-23T15:29:13.250613Z",
- "iopub.status.busy": "2023-02-23T15:29:13.250334Z",
- "iopub.status.idle": "2023-02-23T15:29:13.256861Z",
- "shell.execute_reply": "2023-02-23T15:29:13.255738Z"
+ "iopub.execute_input": "2023-02-26T01:59:50.389267Z",
+ "iopub.status.busy": "2023-02-26T01:59:50.388895Z",
+ "iopub.status.idle": "2023-02-26T01:59:50.392539Z",
+ "shell.execute_reply": "2023-02-26T01:59:50.391906Z"
}
},
"outputs": [],
@@ -108,7 +108,7 @@
},
{
"cell_type": "markdown",
- "id": "823ac6c3",
+ "id": "bf48d000",
"metadata": {},
"source": [
"All graph classes allow any [hashable](https://docs.python.org/3/glossary.html#term-hashable) object as a node.\n",
@@ -207,13 +207,13 @@
{
"cell_type": "code",
"execution_count": 3,
- "id": "06a5fe88",
+ "id": "b57bd24b",
"metadata": {
"execution": {
- "iopub.execute_input": "2023-02-23T15:29:13.259997Z",
- "iopub.status.busy": "2023-02-23T15:29:13.259724Z",
- "iopub.status.idle": "2023-02-23T15:29:13.264378Z",
- "shell.execute_reply": "2023-02-23T15:29:13.263466Z"
+ "iopub.execute_input": "2023-02-26T01:59:50.395175Z",
+ "iopub.status.busy": "2023-02-26T01:59:50.394773Z",
+ "iopub.status.idle": "2023-02-26T01:59:50.398382Z",
+ "shell.execute_reply": "2023-02-26T01:59:50.397765Z"
}
},
"outputs": [],
@@ -226,7 +226,7 @@
},
{
"cell_type": "markdown",
- "id": "84b2c0f9",
+ "id": "af944dba",
"metadata": {},
"source": [
"Edge attributes can be anything:"
@@ -235,13 +235,13 @@
{
"cell_type": "code",
"execution_count": 4,
- "id": "05755dba",
+ "id": "e2400ba2",
"metadata": {
"execution": {
- "iopub.execute_input": "2023-02-23T15:29:13.267748Z",
- "iopub.status.busy": "2023-02-23T15:29:13.267471Z",
- "iopub.status.idle": "2023-02-23T15:29:13.271893Z",
- "shell.execute_reply": "2023-02-23T15:29:13.271012Z"
+ "iopub.execute_input": "2023-02-26T01:59:50.401191Z",
+ "iopub.status.busy": "2023-02-26T01:59:50.400793Z",
+ "iopub.status.idle": "2023-02-26T01:59:50.405671Z",
+ "shell.execute_reply": "2023-02-26T01:59:50.404985Z"
}
},
"outputs": [],
@@ -253,7 +253,7 @@
},
{
"cell_type": "markdown",
- "id": "26d67320",
+ "id": "30ce4b31",
"metadata": {},
"source": [
"You can add many edges at one time:"
@@ -262,13 +262,13 @@
{
"cell_type": "code",
"execution_count": 5,
- "id": "a308ce23",
+ "id": "6f3061ba",
"metadata": {
"execution": {
- "iopub.execute_input": "2023-02-23T15:29:13.275717Z",
- "iopub.status.busy": "2023-02-23T15:29:13.275425Z",
- "iopub.status.idle": "2023-02-23T15:29:13.280660Z",
- "shell.execute_reply": "2023-02-23T15:29:13.279757Z"
+ "iopub.execute_input": "2023-02-26T01:59:50.408338Z",
+ "iopub.status.busy": "2023-02-26T01:59:50.407936Z",
+ "iopub.status.idle": "2023-02-26T01:59:50.411971Z",
+ "shell.execute_reply": "2023-02-26T01:59:50.411340Z"
}
},
"outputs": [],
@@ -281,7 +281,7 @@
},
{
"cell_type": "markdown",
- "id": "3fd1985e",
+ "id": "cf4c1a29",
"metadata": {},
"source": [
"See the Tutorial for more examples.\n",
@@ -346,13 +346,13 @@
{
"cell_type": "code",
"execution_count": 6,
- "id": "a7a29dfb",
+ "id": "33060076",
"metadata": {
"execution": {
- "iopub.execute_input": "2023-02-23T15:29:13.284341Z",
- "iopub.status.busy": "2023-02-23T15:29:13.283850Z",
- "iopub.status.idle": "2023-02-23T15:29:13.289842Z",
- "shell.execute_reply": "2023-02-23T15:29:13.288950Z"
+ "iopub.execute_input": "2023-02-26T01:59:50.414634Z",
+ "iopub.status.busy": "2023-02-26T01:59:50.414126Z",
+ "iopub.status.idle": "2023-02-26T01:59:50.418556Z",
+ "shell.execute_reply": "2023-02-26T01:59:50.417890Z"
}
},
"outputs": [
@@ -373,7 +373,7 @@
},
{
"cell_type": "markdown",
- "id": "43ed8e28",
+ "id": "43a66e19",
"metadata": {},
"source": [
"# Drawing\n",
@@ -394,19 +394,19 @@
{
"cell_type": "code",
"execution_count": 7,
- "id": "2ef83563",
+ "id": "50d5b2a3",
"metadata": {
"execution": {
- "iopub.execute_input": "2023-02-23T15:29:13.295075Z",
- "iopub.status.busy": "2023-02-23T15:29:13.294770Z",
- "iopub.status.idle": "2023-02-23T15:29:14.129409Z",
- "shell.execute_reply": "2023-02-23T15:29:14.128417Z"
+ "iopub.execute_input": "2023-02-26T01:59:50.421843Z",
+ "iopub.status.busy": "2023-02-26T01:59:50.421512Z",
+ "iopub.status.idle": "2023-02-26T01:59:51.018318Z",
+ "shell.execute_reply": "2023-02-26T01:59:51.017614Z"
}
},
"outputs": [
{
"data": {
- "image/png": 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\n",
+ "image/png": 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\n",
"text/plain": [
"<Figure size 640x480 with 2 Axes>"
]
@@ -426,7 +426,7 @@
},
{
"cell_type": "markdown",
- "id": "516d065f",
+ "id": "3a564e32",
"metadata": {},
"source": [
"See the examples for more ideas.\n",
@@ -466,13 +466,13 @@
{
"cell_type": "code",
"execution_count": 8,
- "id": "24f67a10",
+ "id": "8867e559",
"metadata": {
"execution": {
- "iopub.execute_input": "2023-02-23T15:29:14.133316Z",
- "iopub.status.busy": "2023-02-23T15:29:14.132855Z",
- "iopub.status.idle": "2023-02-23T15:29:14.141327Z",
- "shell.execute_reply": "2023-02-23T15:29:14.140224Z"
+ "iopub.execute_input": "2023-02-26T01:59:51.021335Z",
+ "iopub.status.busy": "2023-02-26T01:59:51.020981Z",
+ "iopub.status.idle": "2023-02-26T01:59:51.026075Z",
+ "shell.execute_reply": "2023-02-26T01:59:51.025337Z"
}
},
"outputs": [
@@ -493,7 +493,7 @@
},
{
"cell_type": "markdown",
- "id": "fcf9bd4e",
+ "id": "475498e4",
"metadata": {},
"source": [
"The data structure gets morphed slightly for each base graph class.\n",
@@ -511,13 +511,13 @@
{
"cell_type": "code",
"execution_count": 9,
- "id": "16d2dc5c",
+ "id": "843dfcd2",
"metadata": {
"execution": {
- "iopub.execute_input": "2023-02-23T15:29:14.147668Z",
- "iopub.status.busy": "2023-02-23T15:29:14.147347Z",
- "iopub.status.idle": "2023-02-23T15:29:14.155326Z",
- "shell.execute_reply": "2023-02-23T15:29:14.154402Z"
+ "iopub.execute_input": "2023-02-26T01:59:51.028637Z",
+ "iopub.status.busy": "2023-02-26T01:59:51.028418Z",
+ "iopub.status.idle": "2023-02-26T01:59:51.033388Z",
+ "shell.execute_reply": "2023-02-26T01:59:51.032689Z"
}
},
"outputs": [