I hope this would be of any help to anyone. Epinote is Warsaw-based annotation boutique that provides high quality data annotation and collection services. Usage is straightforward, for example: ax = df].plot(grid=True, use_index=True, \Īnnot_max(df].index,df],ax) Kw = dict(xycoords='data',textcoords="axes fraction",Īrrowprops=arrowprops, bbox=bbox_props, ha="right", va="top")Īx.annotate(text, xy=(xmin, ymin), xytext=(0.94,0.90), **kw) XYCOORDS This parameter contains the string value. Both of these arguments are (x, y) tuples. In an annotation, there are two points to consider: the location being annotated represented by the argument xy and the location of the text xytext. XYText An optional parameter represents the position where the text along X and Y needs to be placed. A common use case of text is to annotate some feature of the plot, and the annotate() method provides helper functionality to make annotations easy. xy This parameter represents the Point X and Y to annotate. Each point on the scatter plot is associated with a named object.
#Matplotlib annotate marker how to#
fillstylestr, default: rcParams 'markers. How to add hovering annotations to a plot Ask Question Asked 11 years, 7 months ago Modified 2 months ago Viewed 241k times 238 I am using matplotlib to make scatter plots. Text= "k=".format(xmin, ymin)ībox_props = dict(boxstyle="round,pad=0.3", fc="w", ec="k", lw=0.72)Īrrowprops=dict(arrowstyle="-",connectionstyle="arc3,rad=0.1") text This parameter represents the text that we want to annotate. For other possible marker values, see the module docstring matplotlib.markers.
ZeroBasedIx = np.argwhere(y.index=maxIxVal).flatten() I took the liberty to adapt the aforementioned solution and use it with pandas plot function. The method proposed by in his response is really neat, but it doesn't work if the data is within a panda data-frame whose index isn't a zero based uniform index (), and it is desired to plot against the index -whose values are the x's.
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