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English: The Mandelbrot set, plotted with Python and Matplotlib. (Originally programmed for Rosetta Code.) Date: 18 July 2015: ... smaller labels: 16:42, 18 July 2015:
English: The Julia set plotted with Matplotlib. The seed coordinates are (-0.512511498387847167, 0.521295573094847167), the same as for File:Julia set (red).png.
Python and Matplotlib are cross-platform, and are therefore available for Windows, OS X, and the Unix-like operating systems like Linux and FreeBSD. 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.
The Mandelbrot set within a continuously colored environment. The Mandelbrot set (/ ˈ m æ n d əl b r oʊ t,-b r ɒ t /) [1] [2] is a two-dimensional set with a relatively simple definition that exhibits great complexity, especially as it is magnified.
This figure was produced by Leland McInnes using python and matplotlib and is licensed under the GFDL. All data is from publicly available sources. (red) EPICA Dome C temperature data: (dark blue) Vostok CO2 data: (steel blue) EPICA DomeC temperature data, 423-391 kybp: (pale blue) EPICA DomeC CO2 data, 650-413 kybp:
In the mathematical discipline of graph theory, a graph labeling is the assignment of labels, traditionally represented by integers, to edges and/or vertices of a graph. [1] Formally, given a graph G = (V, E), a vertex labeling is a function of V to a set of labels; a graph with such a function defined is called a vertex-labeled graph.
import matplotlib.pyplot as plt # Data for the financial federalism representation ... # Setting the labels and title ax.set_xticks([i + bar_width / 2 for i in x])
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