Annotate graph using data from Array

Question

I have a matplotlib graph that I have created using data from arrays. I want to annotate this graph at certain points. The x axis is populated with dates (14/06/12, 15/06/12) etc.. The y axis is price (6500, 6624) etc... I would like to annotate at point: for example (x,y) (14/06/12, 6500). This is my code so far:

Date = ["14/06/12", "15/06/12"]
Open = [6500, 6544]
High = [5434, 5234]
Low = [5342, 5325]
Close = [4523, 2342]
ohlc = []
i = 0
while i < 2:
    Prices = Date[i], Open[i], High[i], low[i], Close[i]
    ohlc.append(Prices)
    i += 1

candlestick_ohlc(ax, ohlc, width=0.8, colorup='g', colordown='r')
ax.xaxis.set_major_formatter(mdates.DateFormatter('%Y-%m-%d'))
ax.annotate('Here!', xy=(Date[1], Price[1]))
plt.show()

This is the current graph and I want the annotation on it where i put it: https://i.sstatic.net/5qM4D.jpg

What is currently happening now in your code that is not giving you the annotation you expect? — idjaw
– idjaw, Commented Oct 16, 2016 at 22:22
Also, can you give a sample of what exactly Prices is and what ohlc is exactly? I'm not a matplotlib person, but if someone wanted to assist here and wanted to test out your code, I would assume it would be helpful to give a small sample of the data. — idjaw
– idjaw, Commented Oct 16, 2016 at 22:23
Is it important to make use of subplots to perform this annotation? I'm looking at the documentation on annotation examples here: matplotlib.org/users/annotations_intro.html#annotating-text — idjaw
– idjaw, Commented Oct 16, 2016 at 22:25

T3am5hark · Accepted Answer · 2016-10-16 22:35:17Z

0

Here's a quick example using the matplotlib.pyplot text command to add text to a plot at a specified location:

import numpy as np
import matplotlib.pyplot as plt

plt.figure()
x = np.arange(-5, 5, 0.1)
plt.plot(x, np.cos(x))
plt.text(x=-4, y=0.5, s="Cosine", fontsize=20)
plt.show()

There are lots of additional formatting options available for text (alignment, font, etc.). Full documentation is available here:

http://matplotlib.org/api/pyplot_api.html#matplotlib.pyplot.text

answered Oct 16, 2016 at 22:35

T3am5hark

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