x = np.array([80, 85, 90, 95, 100, 105, 110, 115, 120, 125]) y = np.array([240, 250, 260, 270, 280, 290, 300, 310, 320, 330]) font1 = {'family':'serif', 'color':'blue ...
x = np.array([80, 85, 90, 95, 100, 105, 110, 115, 120, 125]) font1 = {'family':'serif', 'color':'blue', 'size':20} font2 = {'family':'serif', 'color':'darkred', 'size ...
We're excited to announce a partnership with The Open Data Team at the NYC Office of Technology and Innovation (OTI), BetaNYC, and Data Through Design (DxD) for a hands-on tutorial focused on one of ...
It is possible to set a logarithmic scale for one or both axes. This functionality is in fact only one application of a more general transformation system in Matplotlib. Each of the axes' scales are ...
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