NDLTD Global ETD Search
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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.

Search results

Showing 1 to 2 of 2 (0.019 seconds)

Spelling suggestions: "subject:"matplotlib"" "subject:"matplot""

1

En jämförande studie mellan olika pythonbibliotek för visualisering : Prestandajämförelse med avseende för grafer och diagram / A comparative study between different python libraries for visualization : Performance comparison with respect to graphs and diagrams

Lilja, Philip January 2021 (has links)
Ett problem med ett programmeringsspråk som har många bibliotek är att det kan vara svårt att identifiera vilket bibliotek som är snabbast. Rapporten bygger på ett experiment där olika Pythonbibliotek jämförs baserat på renderingstiden för diagram med olika datamängder. Stapeldiagram, linjediagram och punktdiagram skapas med Pythonbiblioteken Matlablib, Seaborn och Plotly. Mätningarna visar att det finns en signifikant skillnad på renderingstiderna oavsett vilket bibliotek som används. Mätningarna visar även att det finns en signifikant skillnad, olika bibliotek skalar olika beroende på mängden av data.
Python
visualisering
diagram
graf
prestandamätningm
Matplotlib
Seaborn
Plotly
Information Systems, Social aspects
2

Vytvoření webové aplikace pro objektivní analýzu hypokinetické dysartrie ve frameworku Django / Django framework based web application for objective analysis of hypokinetic dysarthria

Čapek, Karel January 2017 (has links)
This master´s thesis deals with the calculation of parameters that would be able to differentiate healthy speech and speech impaired by hypokinetic dysarthria. There was staged hypokinetic dysarthria, which is a motoric disorder of speech and vocal tract. Were studied speech signal processing methods. Further parameters were studied, which could well differentiate healthy and diseased speech. Subsequently, these parameters were programmed in Python programming language. The next step was to create a web application in Django framework, which is used for the analysis of the dyzartic speech.

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