8/23/2023 0 Comments Matplotlib annotate max value![]() Keyword args like horizontalalignment, verticalalignment andįontsize are passed from the `~matplotlib.Axes. The text in this example is placed in theįractional figure coordinate system. In the example below, the xy point is in native coordinates ![]() We now have two annotations, one pointing to a maximum value. Move the tip and base some percent away from Matplotlib provides us with the Annotation feature which allows us to plot arrows and. The width of the base of the arrow head in points The fraction of the arrow length occupied by the head First of all, all your labels appear in the same place according to xytext (0.94,0.96). You just need to convert your date to that format (using 2num or 2num) and then use annotate as usual. Properties in the optional keyword argument arrowprops. 2 Answers Sorted by: 87 Matplotlib uses an internal floating point format for dates. Optionally, you can specify arrow properties which draws an arrowįrom the text to the annotated point by giving a dictionary of arrow import matplotlib.pyplot as plt import numpy as np x np.linspace(-2,8, num301) y np.sinc((x-2.21)3) fig, ax plt.subplots() ax. maxvalue dfvalues. ![]() However, the origin is from the (right, top) of the figure or axes,Īnalogous to negative indexing of sequences. Code: find max value and day(s) with max value and add their annotations. annotate ( 'local max', xy = ( 3, 1 ), xycoords = 'data', xytext = ( 0.8, 0.95 ), textcoords = 'axes fraction', arrowprops = dict ( facecolor = 'black', shrink = 0.05 ), horizontalalignment = 'right', verticalalignment = 'top', )įor physical coordinate systems (points or pixels) the origin is the
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