How would I go about adding specific data points to a line chart through pandas/matplotlib?
This is what i have now:
And this is what i would like to do:
Cheers.
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Are you trying to label all data points or specific data points? Post your code too – Luke Sep 20 '21 at 08:27
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Preferably specific, but all could work too. – mhordflyer Sep 20 '21 at 08:28
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Show us what you have tried – Luke Sep 20 '21 at 08:29
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@Luke solved the problem mate, thanks anyway. Ive added the solution if you are curious. – mhordflyer Sep 20 '21 at 08:42
2 Answers
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matplotlib.pyplot.annotate() can be used to annotate (add a string) to a particular point. For example:
import matplotlib.pyplot as plt
plt.scatter([1, 2, 3], [4, 5, 6])
plt.annotate("X", (1, 4))
plt.annotate("Z", (3, 6))
plt.show()
Ashok Arora
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Thanks for this. I managed to solve it just there, i have added the solution if you are curious. – mhordflyer Sep 20 '21 at 08:42
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you can address a specific data point on a chart using the index value. Remember the list is ordered from 0-X (i.e the first in your list = 0 and so on )
This function plots a blue square at point x,y where x is the data point first in the list =0 and y =0
fig.square(
x_vals_ideal_projection[0], y_vals_ideal_projection[0],
fill_alpha=0, size=8, color='blue',
legend_label="Projected Counts Burndown if wk 39 = 15 ")
Alex
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mhordflyer
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this might solve your specific problem @khordi, but it doesn't answer the question of how to add text labels to data points in matplotlib very well. You have given a function call to a function `fig.square`, but what is this function? what is `fig` here? A matplotlib figure? `fig.square` is not a standard matplotlib function, so this is not useful to anyone else. – tmdavison Sep 20 '21 at 12:30
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in fact looking at this function call more, perhaps you meant to ask about bokeh rather than matplotlib?! – tmdavison Sep 20 '21 at 12:34