durbachit durbachit - 3 months ago 11
Python Question

How to make axis tick labels visible on the other side of the plot in gridspec?

Plotting my favourite example dataframe,which looks like this:

x val1 val2 val3
0 0.0 10.0 NaN NaN
1 0.5 10.5 NaN NaN
2 1.0 11.0 NaN NaN
3 1.5 11.5 NaN 11.60
4 2.0 12.0 NaN 12.08
5 2.5 12.5 12.2 12.56
6 3.0 13.0 19.8 13.04
7 3.5 13.5 13.3 13.52
8 4.0 14.0 19.8 14.00
9 4.5 14.5 14.4 14.48
10 5.0 NaN 19.8 14.96
11 5.5 15.5 15.5 15.44
12 6.0 16.0 19.8 15.92
13 6.5 16.5 16.6 16.40
14 7.0 17.0 19.8 18.00
15 7.5 17.5 17.7 NaN
16 8.0 18.0 19.8 NaN
17 8.5 18.5 18.8 NaN
18 9.0 19.0 19.8 NaN
19 9.5 19.5 19.9 NaN
20 10.0 20.0 19.8 NaN


I have two subplots, for some other reasons it is best for me to use gridspec. The plotting code is as follows (it is quite comprehensive, so I would like to avoid major changes in the code that otherwise works perfectly and just doesn't do one unimportant detail):

import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
from matplotlib import gridspec
import matplotlib as mpl

df = pd.read_csv('H:/DocumentsRedir/pokus/dataframe.csv', delimiter=',')

# setting limits for x and y
ylimit=(0,10)
yticks1=np.arange(0,11,1)
xlimit1=(10,20)
xticks1 = np.arange(10,21,1)

# general plot formatting (axes colour, background etc.)
plt.style.use('ggplot')
plt.rc('axes',edgecolor='black')
plt.rc('axes', facecolor = 'white')
plt.rc('grid', color = 'grey')
plt.rc('grid', alpha = 0.3) # alpha is percentage of transparency
colours = ['g','b','r']
title1 = 'The plot'

# GRIDSPEC INTRO - rows, cols, distance of individual plots
fig = plt.figure(figsize=(6,4))
gs=gridspec.GridSpec(1,2, hspace=0.15, wspace=0.08,width_ratios=[1,1])

## SUBPLOT of GRIDSPEC with lines
# the first plot
axes1 = plt.subplot(gs[0,0])

for count, vals in enumerate(df.columns.values[1:]):

X = np.asarray(df[vals])

h = vals
p1 = plt.plot(X,df.index,color=colours[count],linestyle='-',linewidth=1.5,label=h)

# formatting
p1 = plt.ylim(ylimit)
p1 = plt.yticks(yticks1, yticks1, rotation=0)
p1 = axes1.yaxis.set_minor_locator(mpl.ticker.MultipleLocator(0.1))
p1 = plt.setp(axes1.get_yticklabels(),fontsize=8)
p1 = plt.gca().invert_yaxis()
p1 = plt.ylabel('x [unit]', fontsize=14)
p1 = plt.xlabel("Value [unit]", fontsize=14)
p1 = plt.tick_params('both', length=5, width=1, which='minor', direction = 'in')
p1 = axes1.xaxis.set_minor_locator(mpl.ticker.MultipleLocator(0.1))
p1 = plt.xlim(xlimit1)
p1 = plt.xticks(xticks1, xticks1, rotation=0)
p1 = plt.setp(axes1.get_xticklabels(),fontsize=8)
p1 = plt.legend(loc='best',fontsize = 8, ncol=2) #

# the second plot (something random)
axes2 = plt.subplot(gs[0,1])

for count, vals in enumerate(df.columns.values[1:]):

nonans = df[vals].dropna()
result=nonans-0.5

p2 = plt.plot(result,nonans.index,color=colours[count],linestyle='-',linewidth=1.5)

p2 = plt.ylim(ylimit)
p2 = plt.yticks(yticks1, yticks1, rotation=0)
p2 = axes2.yaxis.set_minor_locator(mpl.ticker.MultipleLocator(0.1))
p2 = plt.gca().invert_yaxis()
p2 = plt.xlim(xlimit1)
p2 = plt.xticks(xticks1, xticks1, rotation=0)
p2 = axes2.xaxis.set_minor_locator(mpl.ticker.MultipleLocator(0.1))
p2 = plt.setp(axes2.get_xticklabels(),fontsize=8)
p2 = plt.xlabel("Other value [unit]", fontsize=14)
p2 = plt.tick_params('x', length=5, width=1, which='minor', direction = 'in')
p2 = plt.setp(axes2.get_yticklabels(), visible=False)

fig.suptitle(title1, size=16)
plt.show()


However, is it possible to show the y tick labels of the second subplot on the right hand side? The current code produces this:

enter image description here

And I would like to know if there is an easy way to get this:
enter image description here

Answer

try something like

axes2.yaxis.tick_right()

Just look around Python Matplotlib Y-Axis Labels on Right Side of Plot.