subplot

I try to generate 3 subplots for my figure. It seems work but it is not perfectly aligned. How to have the same width between the figure at the bottom et the figures at below? plt.close() fig = plt.figure() ax1 = plt.subplot(211) ax1.plot(cycles,np.asarray(df_int),'wo',label='') ax1.plot(cycles,np.asarray(df_proj),'k+',label='') ax1.legend(loc=2) #ax1.subplots_adjust(left=0.15) ax1.set_ylim(0.001,0.004) ax2 = plt.subplot(223) i2=ax2.imshow(c,cmap=plt.cm.hot, vmin=-5, vmax=5);#plt.colorbar();plt.clim(-5,5) cb2=plt.colorbar(i2,ax=ax2,ticks=[-5,0,5],fraction=0.046, pad=0.04,format='%.2f') cb2.ax

I am creating a figure with 3 subplots, and was wondering if there is any way of removing the frame around them, while keeping the axes in place? If you want to remove the axis spines, but not the other information (ticks, labels, etc.), you can do that like so: fig, ax = plt.subplots(7,1, sharex=True) t = np.arange(0, 1, 0.01) for i, a in enumerate(ax): a.plot(t, np.sin((i + 1) * 2 * np.pi * t)) a.spines["top"].set_visible(False) a.spines["right"].set_visible(False) a.spines["bottom"].set_visible(False) or, more easily, using seaborn : fig, ax = plt.subplots(7,1, sharex=True) t = np.arange(0,

I have made the following visualization. I am at loss to figure out how to adjust the size of the third subplot according to the other two (they are sharing the x-axis). The properties that are given here are not helping much and the examples I found on SO also seem to be addressing cases different from mine. Can anyone please help? An easy method would be to add another two colorbars but make them invisible. import matplotlib.pyplot as plt fig, (ax,ax2,ax3) = plt.subplots(3,1, sharex=True) ax.plot([1,3,5],[1,2,5]) ax2.plot([3,5,9],[4,2,2]) ax3.plot([5,7,12],[1,5,3]) sm = plt.cm.ScalarMappable

I'm try to figure out how can I achieve the result as reported in the title's topic, basically I wish obtain a subplot 1 column 4 row without gaps in the row 1,2,3 and a normal gaps between the 1,2,3 block and the four Right now I have just obtain a 4 row plot without gaps using the subplot_adjust as follow: fig.subplots_adjust(wspace=0, hspace=0) here the complete code: fig,axs = SansItalic(**{'lines.linewidth': 3} )(4,1,(14.0,14.0)) axs[0].plot(a1,a2,label='45 60',color='C5') # ,linestyle=(0, (1, 1))) axs[0].plot(a13,a14,label='57 75',color='C4') #,linestyle=(0, (1, 1))) axs[1].plot(a11,a12

I wrote the following snippet and I am trying to make it update the plots. What I get instead is an overlapping of new plots on the old ones. I researched a bit and found I needed relim() and autoscale_view(True,True,True) on the current axis. I still cannot get the desired behaviour. Is there a way to force pyplot to delete/remove the old drawing before calling plt.draw()? import numpy as np import matplotlib.pyplot as plt import time plt.ion() a = np.arange(10) fig,ax = plt.subplots(2,1) plt.show() for i in range(100): b = np.arange(10) * np.random.randint(10) ax[0].bar(a,b,align='center')

I am saving two separate figures, that each should contain 2 plots together. The problem is that the first figure is ok, but the second one, does not gets overwritten on the new plot but on the previous one, but in the saved figure, I only find one of the plots : This is the first figure , and I get the first figure correctly : import scipy.stats as s import numpy as np import os import pandas as pd import openpyxl as pyx import matplotlib matplotlib.rcParams["backend"] = "TkAgg" #matplotlib.rcParams['backend'] = "Qt4Agg" #matplotlib.rcParams['backend'] = "nbAgg" import matplotlib.pyplot as