Upgrade to Pro — share decks privately, control downloads, hide ads and more …

Seaborn for Viz (5 min Lighting Talk)

ianozsvald
September 03, 2015
Technology
0
170

Seaborn for Viz (5 min Lighting Talk)

Short introduction (mainly pics) for Seaborn which uses Matplotlib to generate richer visualisations, given at http://www.meetup.com/PyData-London-Meetup/events/224422193/ by http://ianozsvald.com/

ianozsvald

September 03, 2015
Tweet

More Decks by ianozsvald

See All by ianozsvald
Valuable Lessons Learned on Kaggle’s ARC AGI LLM challenge
ianozsvald
0
110
ARC AGI Kaggle with llama3 - First Steps
ianozsvald
0
120
Failing to reason with LLMs (ARC AGI kaggle update with Llama3)
ianozsvald
0
64
Llama.cpp for fun (and maybe profit) - 30 minute
ianozsvald
0
140
Llama.cpp for fun (and maybe profit) - 30 minute
ianozsvald
0
66
Llama.cpp for fun (and maybe profit)
ianozsvald
0
57
CuDF – Maybe faster Pandas on the GPU via RAPIDS (NVIDIA)
ianozsvald
0
99
Running llama.cpp on the CPU
ianozsvald
0
400
Pandas 2 vs Polars vs Dask (PyDataGlobal 2023 December)
ianozsvald
0
960

Other Decks in Technology

See All in Technology
VideoMamba: State Space Model for Efficient Video Understanding
chou500
0
190
[CV勉強会@関東 ECCV2024 読み会] オンラインマッピング x トラッキング MapTracker: Tracking with Strided Memory Fusion for Consistent Vector HD Mapping (Chen+, ECCV24)
abemii
0
220
The Rise of LLMOps
asei
7
1.5k
Terraform未経験の御様に対してどの ように導⼊を進めていったか
tkikuchi
2
430
隣接領域をBeyondするFinatextのエンジニア組織設計 / beyond-engineering-areas
stajima
1
280
エンジニア人生の拡張性を高める 「探索型キャリア設計」の提案
tenshoku_draft
1
130
TanStack Routerに移行するのかい しないのかい、どっちなんだい！ / Are you going to migrate to TanStack Router or not? Which one is it?
kaminashi
0
590
Platform Engineering for Software Developers and Architects
syntasso
1
520
開発生産性を上げながらビジネスも30倍成長させてきたチームの姿
kamina_zzz
2
1.7k
【Pycon mini 東海 2024】Google Colaboratoryで試すVLM
kazuhitotakahashi
2
510
SRE×AIOpsを始めよう！GuardDutyによるお手軽脅威検出
amixedcolor
0
110
OTelCol_TailSampling_and_SpanMetrics
gumamon
1
160

Featured

See All Featured
A designer walks into a library…
pauljervisheath
204
24k
RailsConf & Balkan Ruby 2019: The Past, Present, and Future of Rails at GitHub
eileencodes
131
33k
実際に使うSQLの書き方 徹底解説 / pgcon21j-tutorial
soudai
169
50k
Designing on Purpose - Digital PM Summit 2013
jponch
115
7k
Designing Dashboards & Data Visualisations in Web Apps
destraynor
229
52k
Statistics for Hackers
jakevdp
796
220k
What’s in a name? Adding method to the madness
productmarketing
PRO
22
3.1k
Speed Design
sergeychernyshev
25
620
Understanding Cognitive Biases in Performance Measurement
bluesmoon
26
1.4k
The Success of Rails: Ensuring Growth for the Next 100 Years
eileencodes
44
6.8k
The Language of Interfaces
destraynor
154
24k
We Have a Design System, Now What?
morganepeng
50
7.2k

Transcript

  1. Seaborn (building on Matplotlib) Ian Ozsvald @IanOzsvald ModelInsight.io

  2. [email protected] @IanOzsvald PyDataLondon February 2015 Titanic Data Mix of ints,

    floats, strings and categoricals

  3. [email protected] @IanOzsvald PyDataLondon February 2015 sns.countplot • hist/bar but for

    categoricals - great categorical support

  4. [email protected] @IanOzsvald PyDataLondon February 2015 hue for 2nd category

  5. [email protected] @IanOzsvald PyDataLondon February 2015 boxplot

  6. [email protected] @IanOzsvald PyDataLondon February 2015 stripplot

  7. [email protected] @IanOzsvald PyDataLondon February 2015 violinplot

  8. [email protected] @IanOzsvald PyDataLondon February 2015 correlations

  9. [email protected] @IanOzsvald PyDataLondon February 2015 pairplot

  10. [email protected] @IanOzsvald PyDataLondon February 2015 lmplot

  11. [email protected] @IanOzsvald PyDataLondon February 2015 Seaborn has lots more •

    kdeplot • joint distribution plots • clusters (via trees) • timeseries support • conda install seaborn • Python 3.4+ (of course)