Visualization in Python with matplotlib
Curso
1280 Estudiantes ya inscritos4.7
(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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Hay 3 módulos en este curso
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 PlotVista previa
- Simple Line ChartVista previa
- Create a Simple Line ChartVista previa
- Adding One More LineVista previa
- Add Data to the PlotVista previa
- Adding Legend to a PlotVista previa
- Add LegendVista previa
- Plot Labels and TitleVista previa
- Add Lables and TitlesVista previa
- Changing Line StyleVista previa
- Customize Your Line ChartVista previa
- Create a Complete Line ChartVista previa
- Simple Bar ChartVista previa
- Create a Simple Bar ChartVista previa
- Stacked BarsVista previa
- Create a Stacked Bar ChartVista previa
- Grouped BarsVista previa
- Create a Grouped Bar ChartVista previa
- Horizontal Bar ChartVista previa
- Create a Horizontal Bar ChartVista previa
- Customizing Bar ChartsVista previa
- Create a Complete Bar ChartVista previa
- The Simplest Scatter PlotVista previa
- Create a Simple Scatter PlotVista previa
- Setting Plot ParametersVista previa
- Set Ticks and LimitsVista previa
- CustomizationVista previa
- Customize Your Scatter PlotVista previa
- Grouping ObservationsVista previa
- Group by RegionVista previa
- Further GroupingVista previa
- Group by Continuous VariableVista previa
- Making Chart InformativeVista previa
- Add Information to the PlotVista previa
Elegido por estudiantes de las mejores escuelas
Por qué la gente elige Codefinity para su carrera

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.
Reseñas de estudiantes
4.6
50 reseñas
5
68%
4
28%
3
4%
2
0%
1
0%
Mostrando 3 de 50 reseñas
Jordan F.
3
Revisado en Feb 4, 2024
A little messy but still a good lesson overall.
Colin Reineberg
4
Revisado en Dec 5, 2023
f
Riccardo Clavenna
4
Revisado en 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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