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# Matplotlib

Matplotlib

## Matplotlib Histogram in python

A histogram is an approximate representation of the distribution of numerical data. To construct a histogram, the first step is to “bin” (or “bucket”) the range of values—that is, divide…

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## Matplotlib Quiver plot in python

A matplotlib Quiver plot is a type of 2D plot which shows vector lines as arrows. Quiver(X,Y,U,V) plots arrows with directional components U and V at the Cartesian coordinates specified…

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## Matplotlib Stack Plot in python

A Stackplot is used to draw a stacked area plot. It shows each part stacked onto one another. Syntax matplotlib.pyplot.stackplot(x, *args, labels=(), colors=None, baseline=’zero’, data=None, **kwargs) Draw a stacked area…

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## Matplotlib Contour Plot in python

In this example we show how to draw contour using matplotlib in python Contour plots which are also called level plots are a way to show a three-dimensional surface on…

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## Matplotlib Box Plot in python

In this article we take a look at a boxplot in A box plot or boxplot is a method for graphically demonstrating the locality, spread and skewness groups of numerical…

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## Matplotlib violin Plot in python

A violin plot is a method of plotting numeric data. It is similar to a box plot, with the addition of a rotated kernel density plot on each side. Violin…

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## Matplotlib Scatter plots in Python

In this article we will show you how to create scatter charts in Python using matplotlib Syntax matplotlib.pyplot.scatter(x, y, s=None, c=None, marker=None, cmap=None, norm=None, vmin=None, vmax=None, alpha=None, linewidths=None, *, edgecolors=None,…

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## Matplotlib Pie Chart in Python

In this article we looking at creating pie charts in python using matplotlib Pie Chart matplotlib.pyplot.pie(x, explode=None, labels=None, colors=None, autopct=None, pctdistance=0.6, shadow=False, labeldistance=1.1, startangle=None, radius=None, counterclock=True, wedgeprops=None, textprops=None, center=(0, 0),…

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## Matplotlib Bar Chart in Python

Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations in Python. Matplotlib makes easy things easy and hard things possible. Bar charts matplotlib.pyplot.bar(x, height, width=0.8, bottom=None, *,…

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