Question

I’m creating a plot consisting of several subplots in matplotlib, like this one:

But for some reason, I get weird Zeros on the y-axis (actually on both sides of the plot):
They don’t seem to be ticks, since the ax1.get_yaxis().set_ticks([]) statement does not affect them.

Any ideas why I get these and how I can get rid of them?

import matplotlib.pyplot as plt
from pylab import *
import numpy as np

subplots_adjust(hspace=0.000)

groups = ['01', '03', '05', '07']

for i in range(len(groups)):
    x = np.linspace(0, 2*np.pi,400)
    y = np.sin(x**2)

    ax1 = subplot(len(groups),1,i+1) 
    ax1.scatter(x, y, s=20, c='b', marker='o')
    plt.xlim(xmin=0,xmax=1)
    ax1.get_yaxis().set_ticks([])

plt.show()
plt.close()

Thank you for any help!

Answer 1

These are just leftovers from the x ticks at 0.0 and 1.0:

import matplotlib.pyplot as plt
#from pylab import *   # don't do it, btw
import numpy as np


groups = ['01' , '03', '05', '07']
fig = plt.figure()
ax = []
for i in range(len(groups)):
  ax.append( fig.add_subplot( len(groups), 1, i+1 ) )

fig.subplots_adjust(hspace=0.000)


for i in range(len(groups)):
    x = np.linspace(0, 2*np.pi,400)
    y = np.sin(x**2)

    ax[i] = plt.subplot(len(groups),1,i+1) 
    ax[i].scatter(x, y, s=20, c='b', marker='o')
    ax[i].get_yaxis().set_ticks([])
    ax[i].set_xlim([0.001,0.9999])     # <<<<========== here


plt.show()