How can I do subplots in matplotlib with differents xlimit and size of axis-x?

问题

How can I solve this? I want to do 4 subplots with matplotlib, I have used the subplot option but the result is just a big plot. I don't have idea what is the problem. I want to see four subplots, each one with title, and a suptitle for them.

I don't have idea how can I solve it?

Can you help me please to fix it? Thanks a lot

#!/usr/bin/env python
# -*- coding: utf-8 -*-

from __future__ import unicode_literals
from matplotlib.collections import LineCollection
import matplotlib.patches as mpatches
import numpy as np
import seaborn as sns
import matplotlib.pyplot as plt
import matplotlib as mpl
import matplotlib.ticker as tkr
from pylab import text


with open("file1.txt") as f:
         m1 = map(float,f)

with open ("file2.txt") as f:
         m2 = map(float, f)

fig, ax = plt.subplots(sharey='row')
fig.set_figwidth(18)  #Width figure
fig.set_figheight(12) #Height figure

plt.rcParams['figure.dpi'] = 300
plt.subplots_adjust(wspace=0.18, hspace=0.2)

fig.suptitle('PLOTS', y=0.93, fontsize=15)

# Plot
plt.subplot(421)
y = np.array(m1)
x = np.arange(len(y))
threshold = 0.5
segments_x = np.r_[x[0], x[1:-1].repeat(2), x[-1]].reshape(-1, 2)
segments_y = np.r_[y[0], y[1:-1].repeat(2), y[-1]].reshape(-1, 2)
linecolors = ['red' if y_[0] > threshold and y_[1] > threshold else 'blue'
              for y_ in segments_y]
segments = [zip(x_, y_) for x_, y_ in zip(segments_x, segments_y)]
ax = plt.axes()
ax.add_collection(LineCollection(segments, colors=linecolors))
ax.set_ylim(-0.06, 1.07)
ax.set_xlim(0,268)
blue_patch = mpatches.Patch(color='blue', label='ordenada')
red_patch = mpatches.Patch(color='red', label='desordenada')
plt.legend(handles=[blue_patch, red_patch], loc='lower left', fontsize=12)
plt.axhline(y=0.5, color='black', linestyle='--')
plt.title(r'Protein', fontsize=18)
plt.xlabel(r'# Residue', fontsize=16)
plt.ylabel(r'(%)', fontsize=16)
plt.xticks(size=12)
plt.yticks(size=12)
plt.xticks(np.arange(min(x), max(x)+1, 10))
plt.grid()
plt.tight_layout()

# Plot
plt.subplot(423)
p = np.array(m2)
o = np.arange(len(p))
threshold = 0.5
segments_o = np.r_[o[0], o[1:-1].repeat(2), o[-1]].reshape(-1, 2)
segments_p = np.r_[p[0], p[1:-1].repeat(2), p[-1]].reshape(-1, 2)
linecolors = ['red' if p_[0] > threshold and p_[1] > threshold else 'blue'
              for p_ in segments_p]
segments = [zip(o_, p_) for o_, p_ in zip(segments_o, segments_p)]
ax = plt.axes()
ax.add_collection(LineCollection(segments, colors=linecolors))
ax.set_ylim(-0.06, 1.07)
ax.set_xlim(0,383)
blue_patch = mpatches.Patch(color='blue', label='ordenada')
red_patch = mpatches.Patch(color='red', label='desordenada')
plt.legend(handles=[blue_patch, red_patch], loc='lower left', fontsize=12)
plt.axhline(y=0.5, color='black', linestyle='--')
plt.title(r'Protein', fontsize=18)
plt.xlabel(r'# Residue', fontsize=16)
plt.ylabel(r'(%)', fontsize=16)
plt.xticks(size=12)
plt.yticks(size=12)
plt.xticks(np.arange(min(o), max(o)+1, 10))
plt.grid()
plt.tight_layout()
plt.show()

#plt.savefig('figure.png', format='png', bbox_inches="tight", dpi=300)

How can I solve this? where is the problem?

回答1:

You need to specify the number of plots you want to be created by matplotlib.pyplot.subplots,

nrows = 2
ncols = 2
fig, ax = plt.subplots(nrows, ncols, sharey='row')

which will create an array of axes instances with shape (nrows, ncols). You can then plot to individual axes via

ax[0,0].plot(...)

Although in order to set tick properties, labels, etc for the axes you need to use the axes versions of the functions instead of the pyplot versions. I.e.

ax[0, 0].set_xticks(...)
# instead of 
plt.xticks(...)

ax[0, 0].set_title(...)
# instead of 
plt.title(...)

ax[0, 0].set_xlabel(...)
# instead of
plt.set_xlabel(...)

来源：https://stackoverflow.com/questions/59888434/how-can-i-do-subplots-in-matplotlib-with-differents-xlimit-and-size-of-axis-x

标签

python

matplotlib

size

subplot