Axes. I hope this would be of any help to anyone. annotate supports a number of coordinate systems for flexibly positioning data and annotations relative to each other and a variety of options of for styling the text. Iterate labels, xpoints and ypoints and annotate the plot with label, x and y with different properties, make horizontal alignment hacenter. Use scatter () method to scatter the points. Usage is straightforward, for example: ax = df].plot(grid=True, use_index=True, \Īnnot_max(df].index,df],ax) To center an annotation horizontally over a point, we can take the following steps Create points for x and y using numpy. 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) AnnotationBbox creates an annotation using an OffsetBox, and provides more fine-grained control than Axes.annotate. 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") Matplotlib Cursor - How to Add a Cursor and Annotate Your Plot This article explains how to insert a cursor to your plot, how to customize it and how to store the values that you selected on the plot window. annotate The text method does not belong to Basemap, but directly to matplotlib, so it must be called from the plot or axis instance The first argument is. 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-. 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.
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