kennethreitz/tablib
1
0
Fork 0
mirror of https://github.com/kennethreitz/tablib.git synced 2026-06-05 06:56:13 +00:00
Code Issues Packages Projects Releases Wiki Activity

Merge pull request #364 from s-pace/doc/update

Browse Source 
[doc website] Add a nice search experience
This commit is contained in:
Kenneth Reitz
2019-04-22 22:21:34 -04:00
committed by GitHub
parent 0937c9f9ec f9f28d3d86
commit 2b9ce02e3c
4 changed files with 235 additions and 1 deletions
Download Patch File Download Diff File Expand all files Collapse all files
docs/Pipfile
+18
View File
@@ -0,0 +1,18 @@
[[source]]
name = "pypi"
url = "https://pypi.org/simple"
verify_ssl = true
[dev-packages]
[packages]
"backports.csv" = "*"
odfpy = "*"
openpyxl = ">=2.4.0"
pandas = "*"
xlrd = "*"
xlwt = "*"
PyYAML = "*"
[requires]
python_version = "3.6"
docs/Pipfile.lock
Generated
+172
View File
@@ -0,0 +1,172 @@
{
"_meta": {
"hash": {
"sha256": "f2ec5f1e9c164b0a43f1b63878c13133a5e01499eb53f53762020eea9f1044cb"
},
"pipfile-spec": 6,
"requires": {
"python_version": "3.6"
},
"sources": [
{
"name": "pypi",
"url": "https://pypi.org/simple",
"verify_ssl": true
}
]
},
"default": {
"backports.csv": {
"hashes": [
"sha256:1277dfff73130b2e106bf3dd347adb3c5f6c4340882289d88f31240da92cbd6d",
"sha256:21f6e09bab589e6c1f877edbc40277b65e626262a86e69a70137db714eaac5ce"
],
"index": "pypi",
"version": "==1.0.7"
},
"defusedxml": {
"hashes": [
"sha256:6687150770438374ab581bb7a1b327a847dd9c5749e396102de3fad4e8a3ef93",
"sha256:f684034d135af4c6cbb949b8a4d2ed61634515257a67299e5f940fbaa34377f5"
],
"version": "==0.6.0"
},
"et-xmlfile": {
"hashes": [
"sha256:614d9722d572f6246302c4491846d2c393c199cfa4edc9af593437691683335b"
],
"version": "==1.0.1"
},
"jdcal": {
"hashes": [
"sha256:948fb8d079e63b4be7a69dd5f0cd618a0a57e80753de8248fd786a8a20658a07",
"sha256:ea0a5067c5f0f50ad4c7bdc80abad3d976604f6fb026b0b3a17a9d84bb9046c9"
],
"version": "==1.4"
},
"numpy": {
"hashes": [
"sha256:0e2eed77804b2a6a88741f8fcac02c5499bba3953ec9c71e8b217fad4912c56c",
"sha256:1c666f04553ef70fda54adf097dbae7080645435fc273e2397f26bbf1d127bbb",
"sha256:1f46532afa7b2903bfb1b79becca2954c0a04389d19e03dc73f06b039048ac40",
"sha256:315fa1b1dfc16ae0f03f8fd1c55f23fd15368710f641d570236f3d78af55e340",
"sha256:3d5fcea4f5ed40c3280791d54da3ad2ecf896f4c87c877b113576b8280c59441",
"sha256:48241759b99d60aba63b0e590332c600fc4b46ad597c9b0a53f350b871ef0634",
"sha256:4b4f2924b36d857cf302aec369caac61e43500c17eeef0d7baacad1084c0ee84",
"sha256:54fe3b7ed9e7eb928bbc4318f954d133851865f062fa4bbb02ef8940bc67b5d2",
"sha256:5a8f021c70e6206c317974c93eaaf9bc2b56295b6b1cacccf88846e44a1f33fc",
"sha256:754a6be26d938e6ca91942804eb209307b73f806a1721176278a6038869a1686",
"sha256:771147e654e8b95eea1293174a94f34e2e77d5729ad44aefb62fbf8a79747a15",
"sha256:78a6f89da87eeb48014ec652a65c4ffde370c036d780a995edaeb121d3625621",
"sha256:7fde5c2a3a682a9e101e61d97696687ebdba47637611378b4127fe7e47fdf2bf",
"sha256:80d99399c97f646e873dd8ce87c38cfdbb668956bbc39bc1e6cac4b515bba2a0",
"sha256:88a72c1e45a0ae24d1f249a529d9f71fe82e6fa6a3fd61414b829396ec585900",
"sha256:a4f4460877a16ac73302a9c077ca545498d9fe64e6a81398d8e1a67e4695e3df",
"sha256:a61255a765b3ac73ee4b110b28fccfbf758c985677f526c2b4b39c48cc4b509d",
"sha256:ab4896a8c910b9a04c0142871d8800c76c8a2e5ff44763513e1dd9d9631ce897",
"sha256:abbd6b1c2ef6199f4b7ca9f818eb6b31f17b73a6110aadc4e4298c3f00fab24e",
"sha256:b16d88da290334e33ea992c56492326ea3b06233a00a1855414360b77ca72f26",
"sha256:b78a1defedb0e8f6ae1eb55fa6ac74ab42acc4569c3a2eacc2a407ee5d42ebcb",
"sha256:cfef82c43b8b29ca436560d51b2251d5117818a8d1fb74a8384a83c096745dad",
"sha256:d160e57731fcdec2beda807ebcabf39823c47e9409485b5a3a1db3a8c6ce763e"
],
"version": "==1.16.3"
},
"odfpy": {
"hashes": [
"sha256:596021f0519623ca8717331951c95e3b8d7b21e86edc7efe8cb650a0d0f59a2b",
"sha256:863746b87121d9e4017c32b6c318f7229a588f189c122a9613116c55a47e276d"
],
"index": "pypi",
"version": "==1.4.0"
},
"openpyxl": {
"hashes": [
"sha256:1d2af392cef8c8227bd2ac3ebe3a28b25aba74fd4fa473ce106065f0b73bfe2e"
],
"index": "pypi",
"version": "==2.6.2"
},
"pandas": {
"hashes": [
"sha256:071e42b89b57baa17031af8c6b6bbd2e9a5c68c595bc6bf9adabd7a9ed125d3b",
"sha256:17450e25ae69e2e6b303817bdf26b2cd57f69595d8550a77c308be0cd0fd58fa",
"sha256:17916d818592c9ec891cbef2e90f98cc85e0f1e89ed0924c9b5220dc3209c846",
"sha256:2538f099ab0e9f9c9d09bbcd94b47fd889bad06dc7ae96b1ed583f1dc1a7a822",
"sha256:366f30710172cb45a6b4f43b66c220653b1ea50303fbbd94e50571637ffb9167",
"sha256:42e5ad741a0d09232efbc7fc648226ed93306551772fc8aecc6dce9f0e676794",
"sha256:4e718e7f395ba5bfe8b6f6aaf2ff1c65a09bb77a36af6394621434e7cc813204",
"sha256:4f919f409c433577a501e023943e582c57355d50a724c589e78bc1d551a535a2",
"sha256:4fe0d7e6438212e839fc5010c78b822664f1a824c0d263fd858f44131d9166e2",
"sha256:5149a6db3e74f23dc3f5a216c2c9ae2e12920aa2d4a5b77e44e5b804a5f93248",
"sha256:627594338d6dd995cfc0bacd8e654cd9e1252d2a7c959449228df6740d737eb8",
"sha256:83c702615052f2a0a7fb1dd289726e29ec87a27272d775cb77affe749cca28f8",
"sha256:8c872f7fdf3018b7891e1e3e86c55b190e6c5cee70cab771e8f246c855001296",
"sha256:90f116086063934afd51e61a802a943826d2aac572b2f7d55caaac51c13db5b5",
"sha256:a3352bacac12e1fc646213b998bce586f965c9d431773d9e91db27c7c48a1f7d",
"sha256:bcdd06007cca02d51350f96debe51331dec429ac8f93930a43eb8fb5639e3eb5",
"sha256:c1bd07ebc15285535f61ddd8c0c75d0d6293e80e1ee6d9a8d73f3f36954342d0",
"sha256:c9a4b7c55115eb278c19aa14b34fcf5920c8fe7797a09b7b053ddd6195ea89b3",
"sha256:cc8fc0c7a8d5951dc738f1c1447f71c43734244453616f32b8aa0ef6013a5dfb",
"sha256:d7b460bc316064540ce0c41c1438c416a40746fd8a4fb2999668bf18f3c4acf1"
],
"index": "pypi",
"version": "==0.24.2"
},
"python-dateutil": {
"hashes": [
"sha256:7e6584c74aeed623791615e26efd690f29817a27c73085b78e4bad02493df2fb",
"sha256:c89805f6f4d64db21ed966fda138f8a5ed7a4fdbc1a8ee329ce1b74e3c74da9e"
],
"version": "==2.8.0"
},
"pytz": {
"hashes": [
"sha256:303879e36b721603cc54604edcac9d20401bdbe31e1e4fdee5b9f98d5d31dfda",
"sha256:d747dd3d23d77ef44c6a3526e274af6efeb0a6f1afd5a69ba4d5be4098c8e141"
],
"version": "==2019.1"
},
"pyyaml": {
"hashes": [
"sha256:1adecc22f88d38052fb787d959f003811ca858b799590a5eaa70e63dca50308c",
"sha256:436bc774ecf7c103814098159fbb84c2715d25980175292c648f2da143909f95",
"sha256:460a5a4248763f6f37ea225d19d5c205677d8d525f6a83357ca622ed541830c2",
"sha256:5a22a9c84653debfbf198d02fe592c176ea548cccce47553f35f466e15cf2fd4",
"sha256:7a5d3f26b89d688db27822343dfa25c599627bc92093e788956372285c6298ad",
"sha256:9372b04a02080752d9e6f990179a4ab840227c6e2ce15b95e1278456664cf2ba",
"sha256:a5dcbebee834eaddf3fa7366316b880ff4062e4bcc9787b78c7fbb4a26ff2dd1",
"sha256:aee5bab92a176e7cd034e57f46e9df9a9862a71f8f37cad167c6fc74c65f5b4e",
"sha256:c51f642898c0bacd335fc119da60baae0824f2cde95b0330b56c0553439f0673",
"sha256:c68ea4d3ba1705da1e0d85da6684ac657912679a649e8868bd850d2c299cce13",
"sha256:e23d0cc5299223dcc37885dae624f382297717e459ea24053709675a976a3e19"
],
"index": "pypi",
"version": "==5.1"
},
"six": {
"hashes": [
"sha256:3350809f0555b11f552448330d0b52d5f24c91a322ea4a15ef22629740f3761c",
"sha256:d16a0141ec1a18405cd4ce8b4613101da75da0e9a7aec5bdd4fa804d0e0eba73"
],
"version": "==1.12.0"
},
"xlrd": {
"hashes": [
"sha256:546eb36cee8db40c3eaa46c351e67ffee6eeb5fa2650b71bc4c758a29a1b29b2",
"sha256:e551fb498759fa3a5384a94ccd4c3c02eb7c00ea424426e212ac0c57be9dfbde"
],
"index": "pypi",
"version": "==1.2.0"
},
"xlwt": {
"hashes": [
"sha256:a082260524678ba48a297d922cc385f58278b8aa68741596a87de01a9c628b2e",
"sha256:c59912717a9b28f1a3c2a98fd60741014b06b043936dcecbc113eaaada156c88"
],
"index": "pypi",
"version": "==1.3.0"
}
},
"develop": {}
}
docs/_templates/sidebarintro.html
Vendored
+22
View File
@@ -2,6 +2,28 @@
<p>
Tablib is an MIT Licensed format-agnostic tabular dataset library, written in Python. It allows you to import, export, and manipulate tabular data sets. Advanced features include, segregation, dynamic columns, tags & filtering, and seamless format import & export.
</p>
<link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/docsearch.js@2/dist/cdn/docsearch.min.css" />
<style>
.algolia-autocomplete{
width: 100%;
height: 1.5em;
margin: 1em auto;
}
.algolia-autocomplete a{
border-bottom: none !important;
}
#doc_search{
width: 100%;
height: 100%;
}
</style>
<input id="doc_search" placeholder="Search the doc" autofocus/>
<script type="text/javascript" src="https://cdn.jsdelivr.net/npm/docsearch.js@2/dist/cdn/docsearch.min.js" onload="docsearch({
apiKey: 'fdf64af44731dc9838761b703228e4fd',
indexName: 'python-tablib',
inputSelector: '#doc_search',
debug: false // Set debug to true if you want to inspect the dropdown
})" async></script>
<h3>Feedback</h3>
<p>
docs/_templates/sidebarlogo.html
Vendored
+23 -1
View File
@@ -1,4 +1,26 @@
<h3><a href="http://docs.python-tablib.org/">About Tablib</a></h3>
<p>
Tablib is an MIT Licensed format-agnostic tabular dataset library, written in Python. It allows you to import, export, and manipulate tabular data sets. Advanced features include, segregation, dynamic columns, tags & filtering, and seamless format import & export.
</p>
</p>
<link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/docsearch.js@2/dist/cdn/docsearch.min.css" />
<style>
.algolia-autocomplete{
width: 100%;
height: 1.5em;
margin: 1em auto;
}
.algolia-autocomplete a{
border-bottom: none !important;
}
#doc_search{
width: 100%;
height: 100%;
}
</style>
<input id="doc_search" placeholder="Search the doc" autofocus/>
<script type="text/javascript" src="https://cdn.jsdelivr.net/npm/docsearch.js@2/dist/cdn/docsearch.min.js" onload="docsearch({
apiKey: 'fdf64af44731dc9838761b703228e4fd',
indexName: 'python-tablib',
inputSelector: '#doc_search',
debug: false // Set debug to true if you want to inspect the dropdown
})" async></script>