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adding more seaborn snippets
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2 files changed

+114
-18
lines changed

.ipynb_checkpoints/pandas_with_seaborn-checkpoint.ipynb

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{
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"metadata": {
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"name": "",
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"signature": "sha256:5f4c2917a08c62b833cbd97c579682d6b7d8747673a83c8991ea3384af659b4c"
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"signature": "sha256:a86c22c1dcceb53d4ceb3fa07931d3d9e9f0e510204f767e4d7c7f8acc511472"
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},
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"nbformat": 3,
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"nbformat_minor": 0,
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"This snippit was written by [Chris R. Albon](http://www.chrisralbon.com/) and is part of his collection of [well-documented Python snippits](https://github.com/chrisalbon/code_py). All code is written in Python 3 in iPython notebook and offered under the [Creative Commons Attribution-ShareAlike 4.0 International License](http://creativecommons.org/licenses/by-sa/4.0/)."
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Preliminaries"
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]
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},
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{
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"cell_type": "code",
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"collapsed": false,
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],
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"prompt_number": 29
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Scatterplot"
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]
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},
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{
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"cell_type": "code",
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"collapsed": false,
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],
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"prompt_number": 28
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Density Plot"
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]
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},
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{
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"cell_type": "code",
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"collapsed": false,
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],
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"prompt_number": 16
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Histogram"
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]
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},
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{
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"cell_type": "code",
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"collapsed": false,
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],
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"prompt_number": 27
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Boxplot "
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]
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},
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{
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"cell_type": "code",
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"collapsed": false,
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],
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"prompt_number": 10
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Violin Plot"
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]
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},
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{
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"cell_type": "code",
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"collapsed": false,
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],
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"prompt_number": 30
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Heatmap"
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]
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},
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{
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"cell_type": "code",
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"collapsed": false,
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],
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"prompt_number": 34
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Clustermap"
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]
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},
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{
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"cell_type": "code",
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"collapsed": false,
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}
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],
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"prompt_number": 35
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},
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{
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"cell_type": "code",
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"collapsed": false,
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"input": [],
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"language": "python",
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"metadata": {},
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"outputs": []
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}
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],
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"metadata": {}

pandas_with_seaborn.ipynb

Lines changed: 57 additions & 9 deletions
Original file line numberDiff line numberDiff line change
@@ -1,7 +1,7 @@
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{
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"metadata": {
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"name": "",
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"signature": "sha256:5f4c2917a08c62b833cbd97c579682d6b7d8747673a83c8991ea3384af659b4c"
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"signature": "sha256:a86c22c1dcceb53d4ceb3fa07931d3d9e9f0e510204f767e4d7c7f8acc511472"
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},
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"nbformat": 3,
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"nbformat_minor": 0,
@@ -17,6 +17,13 @@
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"This snippit was written by [Chris R. Albon](http://www.chrisralbon.com/) and is part of his collection of [well-documented Python snippits](https://github.com/chrisalbon/code_py). All code is written in Python 3 in iPython notebook and offered under the [Creative Commons Attribution-ShareAlike 4.0 International License](http://creativecommons.org/licenses/by-sa/4.0/)."
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Preliminaries"
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]
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},
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{
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"cell_type": "code",
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"collapsed": false,
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],
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"prompt_number": 29
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Scatterplot"
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]
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},
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{
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"cell_type": "code",
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"collapsed": false,
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],
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"prompt_number": 28
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Density Plot"
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]
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},
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{
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"cell_type": "code",
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"collapsed": false,
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],
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"prompt_number": 16
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Histogram"
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]
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},
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{
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"cell_type": "code",
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"collapsed": false,
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],
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"prompt_number": 27
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Boxplot "
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]
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},
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{
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"cell_type": "code",
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"collapsed": false,
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],
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"prompt_number": 10
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Violin Plot"
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]
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},
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{
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"cell_type": "code",
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"collapsed": false,
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],
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"prompt_number": 30
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Heatmap"
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]
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},
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{
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"cell_type": "code",
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"collapsed": false,
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],
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"prompt_number": 34
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Clustermap"
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]
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},
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{
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"cell_type": "code",
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"collapsed": false,
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}
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],
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"prompt_number": 35
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},
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{
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"cell_type": "code",
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"collapsed": false,
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"input": [],
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"language": "python",
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"metadata": {},
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"outputs": []
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}
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],
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"metadata": {}

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