[英]Customizing the Y-Axis scale in Matplotlib
I have plotted some horizontal lines on a Candlestick OHLC chart; 我在烛台OHLC图表上绘制了一些水平线; however, my objective is to get the chart to show the value of each of these lines on the Y-Axis.
但是,我的目标是使图表在Y轴上显示每条线的值。 This is my code:
这是我的代码:
plt.figure( 1 )
plt.title( 'Weekly charts' )
ax = plt.gca()
minor_locator_w = allweeks
major_formatter_w = yearFormatter
ax.xaxis.set_minor_locator( minor_locator_w )
ax.xaxis.set_major_formatter( major_formatter_w )
candlestick_ohlc(ax, zip(df_ohlc_w[ 'Date2' ].map( mdates.datestr2num ),
df_ohlc_w['Open'], df_ohlc_w['High' ],
df_ohlc_w['Low'], df_ohlc_w['Close']), width=0.6, colorup= 'g' )
ax.xaxis_date()
ax.autoscale_view()
plt.setp(ax.get_xticklabels(), horizontalalignment='right')
historical_prices_200 = [ 21.53, 22.09, 22.31, 22.67 ]
horizontal_lines = historical_prices_200
x1 = Date2[ 0 ]
x2 = Date2[ len( Date2 ) - 1 ]
plt.hlines(horizontal_lines, x1, x2, color='r', linestyle='-')
plt.show()
This is the output that I am getting: 这是我得到的输出:
Is there a way to show all the prices on the Y-Axis? 有没有办法在Y轴上显示所有价格?
You can use the get_yticks
function of the Axes
class to get a list of the chart's current tick locations, append the locations you want additional ticks to appear, then use the set_yticks
function to update the chart. 您可以使用
Axes
类的get_yticks
函数获取图表当前刻度位置的列表,追加希望其他刻度出现的位置,然后使用set_yticks
函数更新图表。
ax.hlines(horizontal_lines, x1, x2, color="r")
ax.set_yticks(np.append(ax.get_yticks(), horizontal_lines))
To change the colour of the tick labels to match the lines: 要更改刻度标签的颜色以匹配线条:
plt.setp(ax.get_yticklabels()[-len(horizontal_lines):], color="r")
Alternatively, if the axis starts to become a little cluttered, you can use the text
function to label the lines at the right-hand end (or anywhere that suits): 或者,如果轴开始变得有点杂乱,则可以使用
text
功能在右端(或适合的任何位置)标记线条:
ax.hlines(horizontal_lines, x1, x2, color="r")
for v in horizontal_lines:
ax.text(x2, v, v, ha="left", va="center", color="r")
You might need to adjust the limits of the x axis to fit the labels in. 您可能需要调整x轴的范围以适合标签。
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