Python matplotlib 获取 ylim 值
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matplotlib get ylim values
提问by synaptik
I'm using matplotlibto plot data (using plotand errorbarfunctions) from Python. I have to plot a set of totally separate and independent plots, and then adjust their ylimvalues so they can be easily visually compared.
我正在使用Pythonmatplotlib绘制数据（使用plot和errorbar函数）。我必须绘制一组完全独立和独立的图，然后调整它们的ylim值，以便可以轻松地直观地比较它们。
How can I retrieve the ylimvalues from each plot, so that I can take the min and max of the lower and upper ylim values, respectively, and adjust the plots so they can be visually compared?
如何ylim从每个图中检索值，以便我可以分别取下 ylim 值和上限 ylim 值的最小值和最大值，并调整图以便可以直观地比较它们？
Of course, I could just analyze the data and come up with my own custom ylimvalues... but I'd like to use matplotlibto do that for me. Any suggestions on how to easily (and efficiently) do this?
当然，我可以只分析数据并提出我自己的自定义ylim值……但我想用它matplotlib来为我做这件事。关于如何轻松（和有效）做到这一点的任何建议？
Here's my Python function that plots using matplotlib:
这是我的 Python 函数，它使用matplotlib以下方式绘制：
import matplotlib.pyplot as plt
def myplotfunction(title, values, errors, plot_file_name):
# plot errorbars
indices = range(0, len(values))
fig = plt.figure()
plt.errorbar(tuple(indices), tuple(values), tuple(errors), marker='.')
# axes
axes = plt.gca()
axes.set_xlim([-0.5, len(values) - 0.5])
axes.set_xlabel('My x-axis title')
axes.set_ylabel('My y-axis title')
# title
plt.title(title)
# save as file
plt.savefig(plot_file_name)
# close figure
plt.close(fig)
采纳答案by elyase
回答by Adam Hughes
ymin, ymax = axes.get_ylim()
If you are using the pltapi directly, you can avoid calls to the axes altogether:
如果您plt直接使用api，则可以完全避免调用轴：
def myplotfunction(title, values, errors, plot_file_name):
# plot errorbars
indices = range(0, len(values))
fig = plt.figure()
plt.errorbar(tuple(indices), tuple(values), tuple(errors), marker='.')
plt.xlim([-0.5, len(values) - 0.5])
plt.xlabel('My x-axis title')
plt.ylabel('My y-axis title')
# title
plt.title(title)
# save as file
plt.savefig(plot_file_name)
# close figure
plt.close(fig)
回答by Thom Ives
Leveraging from the good answers above and assuming you were only using plt as in
利用上面的好答案并假设您只使用 plt 作为
import matplotlib.pyplot as plt
then you can get all four plot limits using plt.axis()as in the following example.
然后您可以使用plt.axis()以下示例中的所有四个绘图限制。
import matplotlib.pyplot as plt
x = [1, 2, 3, 4, 5, 6, 7, 8] # fake data
y = [1, 2, 3, 4, 3, 2, 5, 6]
plt.plot(x, y, 'k')
xmin, xmax, ymin, ymax = plt.axis()
s = 'xmin = ' + str(round(xmin, 2)) + ', ' + \
'xmax = ' + str(xmax) + '\n' + \
'ymin = ' + str(ymin) + ', ' + \
'ymax = ' + str(ymax) + ' '
plt.annotate(s, (1, 5))
plt.show()
The above code should produce the following output plot.
上面的代码应该产生以下输出图。
