Matplotlib subplot2grid mit Achsen Verpackungsetiketten

Question

Jede Hilfe in den subplot2grid bekommen und die Achsen Etiketten werden gut zusammen arbeiten werden, so sehr geschätzt. Wie Sie in der Abbildung sehen können, überlappen einige der Achsenbeschriftungen die Oberfläche der benachbarten Unterplots.
Anbei ein paar Code, falls es hilft.

def init_plot(self): 

    self.f0 = plt.figure(num = 0, figsize = (12, 8))#, dpi = 100) 
    self.f0.suptitle("CFM diffusion", fontsize=12) 
    self.ax01 = plt.subplot2grid((2, 3), (0, 0)) 
    self.ax02 = plt.subplot2grid((2, 3), (0, 1)) 
    self.ax03 = plt.subplot2grid((2, 3), (1, 0)) 
    self.ax04 = plt.subplot2grid((2, 3), (1, 1)) 
    self.ax05 = plt.subplot2grid((2, 3), (0, 2)) 
    self.ax06 = plt.subplot2grid((2, 3), (1, 2)) 


    self.ax01.set_ylim((300, 0)) 
    self.ax02.set_ylim((300,0)) 
    self.ax03.set_ylim((230, 250)) 
    self.ax04.set_ylim((0.08, 0.22)) 
    self.ax02.set_xlim((230, 250)) 
    self.ax03.set_xlim((self.model_time[0], self.model_time[-1])) 
    self.ax04.set_xlim((self.model_time[0], self.model_time[-1])) 
    self.ax05.set_ylim((300,0)) 
    self.ax05.set_xlim((0, 0.125)) 
    self.ax06.set_xlim((self.model_time[0], self.model_time[-1])) 
    self.ax06.set_ylim((0.08, 0.125)) 

    self.ax01.set_ylabel(r"Depth [m]") 
    self.ax01.set_xlabel(r"Density [$\mathrm{kgm}^{-3}$]") 
    self.ax02.set_ylabel(r"Depth [m]") 
    self.ax02.set_xlabel(r"Temperature [K]") 
    self.ax03.set_ylabel(r"Temperature Forcing [K]") 
    self.ax03.set_xlabel(r"Model Time [y]") 
    self.ax04.set_ylabel(r"Accumulation Forcing [$\mathrm{my}^{-1}$ ice eq.]") 
    self.ax04.set_xlabel(r"Model Time [y]") 
    self.ax05.set_ylabel(r"Depth [m]") 
    self.ax05.set_xlabel(r"Diffusion Length [m]") 
    self.ax06.set_ylabel(r"$\sigma'_{18}$ [m]") 
    self.ax06.set_xlabel(r"Model Time [y]") 

    # self.ax01.set_title('Density profile') 
    # self.ax02.set_title('Temp. profile') 
    # self.ax03.set_title('Temperature Forcing') 
    # self.ax04.set_title('Accum Forcing') 
    # self.ax05.set_title('Diffusion Length') 
    # self.ax06.set_title('Diffusion Length at CO') 

    self.hlp011 = self.ax01.plot(self.rho_hl*1000, self.z_hl, "r--") 
    self.p011, = self.ax01.plot(self.rho[0][1:], self.z[0][1:],'b-') 
    self.p012, = self.ax02.plot(self.temperature[0][1:], self.z[0][1:], 'k-') 
    self.p021, = self.ax03.plot(self.climate[0,0], self.climate[0,2],'k-') 
    self.p022, = self.ax04.plot(self.climate[0,0], self.climate[0,1], 'k-') 
    print(self.climate[0,1]) 
    self.p023, = self.ax05.plot(self.iso_sigmaD[0][1:], self.z[0][1:], 'r-') 
    self.p024, = self.ax05.plot(self.iso_sigma18[0][1:], self.z[0][1:], 'b-') 
    self.iso_sigma18_co = np.array((self.iso_sigma18[0][1:][self.rho[0][1:]>804.3][0],)) 
    self.p025, = self.ax06.plot(self.climate[0,0], self.iso_sigma18_co[0], 'b-') 

    return 

Beste Vas

Answer 1

Versuchen tight_layout mit Führungs here.

In Ihrem Code fügen Sie einfach diese Zeile nach self.f0 erstellen:

self.f0.tight_layout() 

Answer 2

endgültige Antwort hier: self.f0.tight_layout() kümmert sich um die Dinge mit einer gewissen Polsterung für den Titel auf Rechnung zu tragen.

class CfmPlotter(): 

def __init__(self, fpath = None): 


    hl_inst = herron_lang.HL(temp = -40.0+273.15, accu= 0.0917, rho_o=350.) 

    self.z_hl, self.rho_hl = hl_inst(np.arange(0,400, 0.01)) 
    # fpath = "./DO_results/DO_tests_vary_tr_time/cfm_DO_trtime_1500/Goujon_DO_trtime_1500.hdf5" 
    self.fpath = fpath 
    f = h5py.File(fpath) 
    self.fs = os.path.split(fpath)[1] 
    print f.keys() 
    self.z = f["depth"][:] 
    self.rho = f["density"][:] 
    self.temperature = f["temperature"][:] 
    self.age = f["age"][:] 
    self.climate = f["Modelclimate"][:] 
    self.iso_sigmaD = f["iso_sigmaD"][:] 
    self.iso_sigma18 = f["iso_sigma18"][:] 
    self.iso_sigma17 = f["iso_sigma17"][:] 
    self.model_time = np.array(([a[0] for a in self.z[:]])) 

    f.close() 
    return 


def init_plot(self): 

    self.f0 = plt.figure(num = 0, figsize = (10, 6))#, dpi = 100) 
    self.f0.tight_layout(pad = 2.8) 
    self.f0.suptitle("CFM diffusion", fontsize=12) 
    self.ax01 = plt.subplot2grid((2, 3), (0, 0)) 
    self.ax02 = plt.subplot2grid((2, 3), (0, 1)) 
    self.ax03 = plt.subplot2grid((2, 3), (1, 0)) 
    self.ax04 = plt.subplot2grid((2, 3), (1, 1)) 
    self.ax05 = plt.subplot2grid((2, 3), (0, 2)) 
    self.ax06 = plt.subplot2grid((2, 3), (1, 2)) 


    self.ax01.set_ylim((300, 0)) 
    self.ax02.set_ylim((300,0)) 
    self.ax03.set_ylim((230, 250)) 
    self.ax04.set_ylim((0.08, 0.22)) 
    self.ax02.set_xlim((230, 250)) 
    self.ax03.set_xlim((self.model_time[0], self.model_time[-1])) 
    self.ax04.set_xlim((self.model_time[0], self.model_time[-1])) 
    self.ax05.set_ylim((300,0)) 
    self.ax05.set_xlim((0, 0.125)) 
    self.ax06.set_xlim((self.model_time[0], self.model_time[-1])) 
    self.ax06.set_ylim((0.08, 0.125)) 

    self.ax01.set_ylabel(r"Depth [m]") 
    self.ax01.set_xlabel(r"Density [$\mathrm{kgm}^{-3}$]") 
    self.ax02.set_ylabel(r"Depth [m]") 
    self.ax02.set_xlabel(r"Temperature [K]") 
    self.ax03.set_ylabel(r"Temperature Forcing [K]") 
    self.ax03.set_xlabel(r"Model Time [y]") 
    self.ax04.set_ylabel(r"Accumulation Forcing [$\mathrm{my}^{-1}$ ice eq.]") 
    self.ax04.set_xlabel(r"Model Time [y]") 
    self.ax05.set_ylabel(r"Depth [m]") 
    self.ax05.set_xlabel(r"Diffusion Length [m]") 
    self.ax06.set_ylabel(r"$\sigma'_{18}$ [m]") 
    self.ax06.set_xlabel(r"Model Time [y]") 

    # self.ax01.set_title('Density profile') 
    # self.ax02.set_title('Temp. profile') 
    # self.ax03.set_title('Temperature Forcing') 
    # self.ax04.set_title('Accum Forcing') 
    # self.ax05.set_title('Diffusion Length') 
    # self.ax06.set_title('Diffusion Length at CO') 

    self.hlp011 = self.ax01.plot(self.rho_hl*1000, self.z_hl, "r--") 
    self.p011, = self.ax01.plot(self.rho[0][1:], self.z[0][1:],'b-') 
    self.p012, = self.ax02.plot(self.temperature[0][1:], self.z[0][1:], 'k-') 
    self.p021, = self.ax03.plot(self.climate[0,0], self.climate[0,2],'k-') 
    self.p022, = self.ax04.plot(self.climate[0,0], self.climate[0,1], 'k-') 
    print(self.climate[0,1]) 
    self.p023, = self.ax05.plot(self.iso_sigmaD[0][1:], self.z[0][1:], 'r-') 
    self.p024, = self.ax05.plot(self.iso_sigma18[0][1:], self.z[0][1:], 'b-') 
    self.iso_sigma18_co = np.array((self.iso_sigma18[0][1:][self.rho[0][1:]>804.3][0],)) 
    self.p025, = self.ax06.plot(self.climate[0,0], self.iso_sigma18_co[0], 'b-') 

    return