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Line chart showing the population of the town of Pushkin, Saint Petersburg from 1800 to 2010, measured at various intervals. A line chart or line graph, also known as curve chart, [1] is a type of chart that displays information as a series of data points called 'markers' connected by straight line segments. [2]
Matplotlib can create plots in a variety of output formats, such as PNG and SVG. Matplotlib mainly does 2-D plots (such as line, contour, bar, scatter, etc.), but 3-D functionality is also available. A simple SVG line plot with Matplotlib. Here is a minimal line plot (output image is shown on the right):
Ridgeline plot: Several line plots, vertically stacked and slightly overlapping. Q–Q plot : In statistics, a Q–Q plot (Q stands for quantile ) is a graphical method for diagnosing differences between the probability distribution of a statistical population from which a random sample has been taken and a comparison distribution.
The interface was based on observations of people organizing “data cards” on a table to make graphs to answer specific questions [4] Innovations of TinkerPlots include using a superimposed color gradient [5] to detect covariation in two numeric attributes and a “hat plot,” [6] a reformulated and generalized version of the box plot.
A ridgeline plot (also known as a joyplot [1] [note 1]) is a series of line plots that are combined by vertical stacking to allow the easy visualization of changes through space or time. The plots are often overlapped slightly to allow the changes to be more clearly contrasted. [2] [3] [4] [5]
William Playfair is usually credited with inventing the area charts as well as the line, bar, and pie charts.His book The Commercial and Political Atlas, published in 1786, contained a number of time-series graphs, including Interest of the National Debt from the Revolution and Chart of all the Imports and Exports to and from England from the Year 1700 to 1782 that are often described as the ...
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Matplotlib (portmanteau of MATLAB, plot, and library [3]) is a plotting library for the Python programming language and its numerical mathematics extension NumPy.It provides an object-oriented API for embedding plots into applications using general-purpose GUI toolkits like Tkinter, wxPython, Qt, or GTK.