Visualization in Python with matplotlib
Corso
1280 Studenti già iscritti4.7
(142)
- Acquire proficiency in representing data through various plots, such as line charts, bar charts, and scatter plots.
- Develop the ability to customize charts with legends, labels, titles and line styles.
- Understand how to layer multiple data series within a single plot for in-depth analysis.
- Explore techniques for effectively grouping and presenting data visually to convey information clearly.
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Ci sono 3 moduli in questo corso
Visualization is one of the most common ways of representing data. By using different kinds of plots (like scatter-plot, histogram, bar charts, and so on) you can find some insights in your data, or approve/reject some assumption/hypothesis. In this course, you will be introduced to the matplotlib library, and learn how to build different charts.- Creating an Empty PlotAnteprima
- Simple Line ChartAnteprima
- Create a Simple Line ChartAnteprima
- Adding One More LineAnteprima
- Add Data to the PlotAnteprima
- Adding Legend to a PlotAnteprima
- Add LegendAnteprima
- Plot Labels and TitleAnteprima
- Add Lables and TitlesAnteprima
- Changing Line StyleAnteprima
- Customize Your Line ChartAnteprima
- Create a Complete Line ChartAnteprima
- Simple Bar ChartAnteprima
- Create a Simple Bar ChartAnteprima
- Stacked BarsAnteprima
- Create a Stacked Bar ChartAnteprima
- Grouped BarsAnteprima
- Create a Grouped Bar ChartAnteprima
- Horizontal Bar ChartAnteprima
- Create a Horizontal Bar ChartAnteprima
- Customizing Bar ChartsAnteprima
- Create a Complete Bar ChartAnteprima
- The Simplest Scatter PlotAnteprima
- Create a Simple Scatter PlotAnteprima
- Setting Plot ParametersAnteprima
- Set Ticks and LimitsAnteprima
- CustomizationAnteprima
- Customize Your Scatter PlotAnteprima
- Grouping ObservationsAnteprima
- Group by RegionAnteprima
- Further GroupingAnteprima
- Group by Continuous VariableAnteprima
- Making Chart InformativeAnteprima
- Add Information to the PlotAnteprima
Scelto dagli studenti delle migliori scuole
Perché le persone scelgono Codefinity per la loro carriera

Kwizera Mugisha
The teaching methodology at Codefinity is excellent, and I particularly appreciate how it has prepared me to handle real-world coding problems. Currently, I am delving into Node.js and eagerly anticipate building full-stack projects that integrate all the knowledge I have gained.

Sherry Barnes-Fox
My first course was 4 hours, I did it in a few days, "nugget-style. The instructions are very clear and easy to understand. There is even a hint to help you get the answer, and if you still cannot get the answer, then you can display the answer. I love the learning style that is used, it engages me.

Bill Wagner
I have really liked the browser-based lessons that allow me to code within the lesson. The RUN button allows me to test the code I write before submitting for a grade.

Stephanie Chan
As I went through the first course of the Python track, I liked the way the course was lay out (in easy and digestible modules) with little exercises at the end of each concept.

Daniel Chinea
I have gained a lot of practical and logical thinking skills, along with patience for myself and confidence in myself that I can learn programming.

Steve Bruening
The learning was progressive and made it easy to follow along and make progress. I could feel my skills increasing and building on each other as the course went along.
Recensioni degli studenti
4.6
50 recensioni
5
68%
4
28%
3
4%
2
0%
1
0%
Visualizzando 3 di 50 recensioni
Jordan F.
3
Esaminato il Feb 4, 2024
A little messy but still a good lesson overall.
Colin Reineberg
4
Esaminato il Dec 5, 2023
f
Riccardo Clavenna
4
Esaminato il Sep 6, 2023
Mostly good. Some more details on some function would be better for a complete beginner. e.g. import numpy as np, why is needed, what is it...
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