Matplotlibs Annotate 中的 xytext 详细信息 [英] xytext details in Matplotlibs Annotate

问题描述

使用以下代码，我正在绘制烛台图并使用注释.我一直玩到找到文本的正确位置，但我仍然不明白 xytext=(-15, -27) 和 xytext=(-17,20) 与他们目前的位置有关.

With the following code I am plotting a candlestick graph and also make use of annotations. I have played arround until I found the right positions for the text, but I still don't understand what the figures xytext=(-15, -27) and xytext=(-17, 20) have to do with their current position.

这对我来说很奇怪.有人可以向我解释一下吗?非常感谢提前！
这是我的图表的样子，下面是代码:

It is very strange to me. could somebody please explain it to me? Many thanks in advance!
This is what my graph looks like and below is the code:

import matplotlib.pyplot as plt
import matplotlib.dates as mdates
from matplotlib.finance import candlestick_ohlc
from matplotlib import style
import pandas_datareader
import datetime as dt

style.use('classic')
start = dt.datetime(2017,1,1)
end = dt.datetime(2017,4,1)

def graph(stock):
    ax1 = plt.subplot2grid((1,1), (0,0))
    stock_data = pandas_datareader.DataReader(name=stock, data_source='google', start=start, end=end)
    stock_data.reset_index(inplace=True)
    stock_data['Date'] = stock_data['Date'].map(mdates.date2num)
    candlestick_ohlc(ax1, stock_data.values, width=0.5, colorup='g', colordown='r')

    ax1.annotate('Long',
                 xy=(stock_data['Date'][10], stock_data['Low'][10]),
                 xytext=(-15, -27),
                 textcoords='offset points',
                 arrowprops=dict(facecolor='grey', color='grey'))

    ax1.annotate('Short',
                 xy=(stock_data['Date'][28], stock_data['High'][28]),
                 xytext=(-17, 20),
                 textcoords='offset points',
                 arrowprops=dict(facecolor='grey', color='grey'))

    ax1.annotate('Long',
                 xy=(stock_data['Date'][42], stock_data['Low'][42]),
                 xytext=(-15, -27),
                 textcoords='offset points',
                 arrowprops=dict(facecolor='grey', color='grey'))

    ax1.annotate('Short',
                 xy=(stock_data['Date'][48], stock_data['High'][48]),
                 xytext=(-17, 20),
                 textcoords='offset points',
                 arrowprops=dict(facecolor='grey', color='grey'))

    plt.show()

graph('TSLA')

推荐答案

您选择在偏移点中设置文本坐标.例如.xytext=(-17, 20) 将文本放置在 17 点的左侧和 20 点从您注释的点开始的顶部.

You chose to have the text coordinates in offset points. E.g. xytext=(-17, 20) places the text at 17 points to the left and 20 points to the top from the point which you annotate.

将注释中的horizo​​ntalalignment改为"center"后，坐标可能会更明显.annotate( ... , ha="center").

The coordinates may be more obvious when changing the horizontalalignment to "center" in the annotation. annotate( ... , ha="center").

然后您可以通过将 x 坐标设置为 0 来获得结果.

You can then get the result by setting the x coordinate to 0.

ax1.annotate('Long', xy=(stock_data['Date'][10], stock_data['Low'][10]),
                 xytext=(0, -27),
                 textcoords='offset points', ha="center",
                 arrowprops=dict(facecolor='grey', color='grey'))

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