Matplotlib examples

For an overview of the plotting methods we provide, matplotlib examples Plot types. For longer tutorials, see our tutorials page.

Click here to download the full example code. Here's how to create a line plot with text labels using plot. Multiple axes i. Matplotlib can display images assuming equally spaced horizontal dimensions using the imshow function. The pcolormesh function can make a colored representation of a two-dimensional array, even if the horizontal dimensions are unevenly spaced.

Matplotlib examples

Before we start: This Python tutorial is a part of our series of Python Package tutorials. You can find other Matplotlib related topics too! Pythonistas typically use the Matplotlib plotting library to display numeric data in plots, graphs and charts in Python. The pyplot interface is easier to implement than the OO version and is more commonly used. For information about pyplot functions and terminology, refer to: What is Pyplot in Matplotlib. The matplotlib. The simplest example uses the plot function to plot values as x,y coordinates in a data plot. In this case, plot takes 2 parameters for specifying plot coordinates:. Figure 1. A simple plot created with the plot function:. A partial list of string characters that are acceptable options for marker and linestyle :. Matplotlib also supports more advanced plots, such as scatter plots. In this case, the scatter function is used to display data values as a collection of x,y coordinates represented by standalone dots. In this example, 2 arrays of the same length one array for X axis values and another array for Y axis values are plotted.

It generally appears as the box containing a small sample of each color on the graph and a small description of what this data means, matplotlib examples.

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Matplotlib is one of the most widely used data visualization libraries in Python. From simple to complex visualizations, it's the go-to library for most. Bar graphs display numerical quantities on one axis and categorical variables on the other, letting you see how many occurrences there are for the different categories. Plotting a Bar Plot in Matplotlib is as easy as calling the bar function on the PyPlot instance, and passing in the categorical and numerical variables that we'd like to visualize. Here, we've got a few categorical variables in a list - A , B and C. We've also got a couple of continuous variables in another list - 1 , 5 and 3. The relationship between these two is then visualized in a Bar Plot by passing these two lists to plt. Oftentimes, we might want to plot a Bar Plot horizontally, instead of vertically.

Matplotlib examples

Many thanks to Bill Wing and Christoph Deil for review and corrections. Matplotlib is probably the most used Python package for 2D-graphics. It provides both a quick way to visualize data from Python and publication-quality figures in many formats. We are going to explore matplotlib in interactive mode covering most common cases. The Jupyter notebook and the IPython enhanced interactive Python, are tuned for the scientific-computing workflow in Python, in combination with Matplotlib:. In the notebook, insert, at the beginning of the notebook the following magic :. Important commands are explained with interactive examples.

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Compute maximum of multiple columns, aks row wise max? Formatting date ticks using ConciseDateFormatter. Simple Plot. Contour plot of irregularly spaced data. However, the boxplot helps to pinpoint the median, 25th and 75th percentiles of the X and the Y. Triinterp Demo Triinterp Demo. Axes Demo. Scatter Custom Symbol. Skip to content. How Change the vertical spacing between legend entries in Matplotlib? Cross spectral density CSD. System of Equations

Bar color demo. Bar Label Demo. Stacked bar chart.

Created using Sphinx 1. Barcode Barcode. Imbalanced Classification Animated histogram. Time Series Histogram. Programmatically controlling subplot adjustment. You are reading an old version of the documentation v3. Annotating a plot. Solarized Light stylesheet. Use setp. Project filled contour onto a graph. Often multiple datapoints have exactly the same X and Y values. Bar chart on polar axis. Text alignment Text alignment.