Contenido del Curso
Gaining Insights with Data Visualization
Gaining Insights with Data Visualization
Line Plots
A line plot is a graphical representation of data that displays information along a number line. It consists of a series of points plotted on a graph, where the x-axis typically represents the independent variable, and the y-axis represents the dependent variable.
Line plots are particularly useful for displaying trends in data over time or across different categories. They are often used to visualize stock prices or weather patterns, and to compare the values of different variables, like sales volumes across various products or the performance of different sports teams. These trends or patterns can aid in making predictions about future values.
In Python, line plots can be created using the plot() function from the matplotlib.pyplot module.
Swipe to show code editor
- Import the
pyplotmodule of thematplotliblibrary with thepltalias. - Generate a random array of 1000 elements (1000 x 1 array) called
valuesusingnumpy. - Create a single line plot based on the
valuesarray. - Generate a second random array of 1000 elements called
values1usingnumpy. - Create a second line plot based on the
values1array.
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A line plot is a graphical representation of data that displays information along a number line. It consists of a series of points plotted on a graph, where the x-axis typically represents the independent variable, and the y-axis represents the dependent variable.
Line plots are particularly useful for displaying trends in data over time or across different categories. They are often used to visualize stock prices or weather patterns, and to compare the values of different variables, like sales volumes across various products or the performance of different sports teams. These trends or patterns can aid in making predictions about future values.
In Python, line plots can be created using the plot() function from the matplotlib.pyplot module.
Swipe to show code editor
- Import the
pyplotmodule of thematplotliblibrary with thepltalias. - Generate a random array of 1000 elements (1000 x 1 array) called
valuesusingnumpy. - Create a single line plot based on the
valuesarray. - Generate a second random array of 1000 elements called
values1usingnumpy. - Create a second line plot based on the
values1array.
Cambia al escritorio para practicar en el mundo realContinúe desde donde se encuentra utilizando una de las siguientes opciones