The following MWE produces a simple scatter plot:
import numpy as np
import matplotlib.pyplot as plt
# Generate some random two-dimensional data:
m1 = np.random.normal(size=100)
m2 = np.random.normal(scale=0.5, size=100)
# Plot data with 1.0 max limit in y.
plt.figure()
# Set x axis limit.
plt.xlim(0., 1.0)
# Plot points.
plt.scatter(m1, m2)
# Show.
plt.show()
In this plot the x axis limits are set to [0., 1.]. I need to set the upper y axis limit to 1. leaving the lower limit to whatever the min value in m2 is (ie: let python decide the lower limit).
In this particular case I could just use plt.ylim(min(m2), 1.0) but my actual code is far more complicated with lots of things being plotted so doing this is not really an option.
I've tried setting:
plt.ylim(top=1.)
and also:
plt.gca().set_ylim(top=1.)
as advised here How to set 'auto' for upper limit, but keep a fixed lower limit with matplotlib.pyplot, but neither command seems to work. They both correctly set the upper limit in the y axis to 1. but they also force a lower limit of 0. which I don't want.
I'm using Python 2.7.3 and Matplotlib 1.2.1.