matplotlib 3d投影，刻度線標籤超過邊距

我已經爲朋友產生了以下情節。我怎樣才能擴大情節，所以刻度線標籤不會被切斷？我該如何將Y軸刻度標籤對齊並將它們緊緊對齊到軸上？matplotlib 3d投影，刻度線標籤超過邊距

這裏是輸入文件una.txt：

#Average (pg/mL)  No Il-2 TGFbeta1  IL-2 TGFbeta1 IL-2 TGFbeta1 50 ngmL TNF-alpha IL-2 TGFbeta1 500 ngmL TNF-alpha  IL-2 TGFbeta1 10 ngmL IL-1beta IL-2 TGFbeta1 100 ngmL IL-1beta 50 ngmL TNF-alpha 10 ngmL IL-1beta  500 ngmL TNF-alpha 100 ngmL IL-1beta 
IL-9 29.53333333  13568.975  12761.7675  9446.42 9973.11 9844.95 8227.38 8955.19 
IL-10 13.415 18.04833333  30.22875  32.815 26.43875  31.945 32.73125  36.87625 
IFN-gamma  3380.6225  11405.42  11129.15  11359.28667  11263.78667  11557.82  9413.87 11814.92 
IL-17 1.705 6.2025 7.11625 5.485 5.98625 6.79125 7.57625 9.73 
TNF-alpha  1780.542857  2082.36 6405.03875  5134.015  2209.301667  1938.536667  5335.241429  9923.431429 
IL-1beta  21.144 21.096 48.33333333  46.775 2182.01 20023.676  2614.72 19148.32 
IL-2 42.56166667  10263.83667  11560.08667  11963.778  14336.2925  13951.88  13017.13  14915.488 
IL-6 100.2433333  196.9666667  233.1133333  210.3383333  542.265 594.2375  730.1183333  560.94 
IL-21 8.513333333  112.3333333  104.9228571  90.0375 105.6975  142.205 105.61625  138.9716667 
IL-22 99.07 86.05 75.57666667  70.53333333  86.45666667  119.2125  93.78666667  95.6075 
IL-23 27.72 81.395 72.89 65.305 70.19666667  61.99 95.62 90.1575 
IL-4 104.86625  112.05625  119.52875  102.7775  120.60875  115.775 113.12375  112.36375 
IL-5 703.17 444.29625  546.255 442.9175  538.66875  569.0585714  532.565 538.6 
IL-12p70  6.263333333  6.77 7.4325 9.64 11.695 12.27666667  12.21 12.23857143 
IL-18 221.6375  268.73 247.2725  255.8125  232.2266667  270.1475  262.3966667  269.495 
IL-13 3365.457143  5300.827143  5108.098333  3604.03 5037.185714  3931.995  6778.05 5125.295 
IL-27 49.78470588  70.2025 30.695 34.016 70.115 52.73166667  87.27 33.16 
GM-CSF 8542.278333  11626.19667  9663.6175  18898.80143  11864.3125  12143.33857  28017.90857  36413.00833

這裏是我的代碼：

from mpl_toolkits.mplot3d import Axes3D 
import matplotlib.pyplot as plt 
import numpy as np 

colors = [ 
    '#e41a1c', '#377eb8', '#4daf4a', '#984ea3', 
    '#ff7f00', '#ffff33', '#a65628', '#f781bf', 
    ] 

a = np.genfromtxt('una.txt', delimiter='\t', usecols=(1, 2, 3, 4, 5, 6, 7, 8)) 

fig = plt.figure(tight_layout=True) 
ax = fig.add_subplot(111, projection='3d') 

xticklabels = np.genfromtxt('una.txt', delimiter='\t', usecols=(0), dtype=None) 

with open('una.txt') as f: 
    yticklabels = [s.replace('alpha', r'$\alpha$').replace('gamma', r'$\gamma$').replace('beta', r'$\beta$') for s in f.readline().rstrip().split('\t')[1:]] 

ax.set_xticks(np.arange(0, len(xticklabels), 1)) 
ax.set_xticklabels(
    [label.decode("utf-8").replace('alpha', r'$\alpha$').replace('gamma', r'$\gamma$').replace('beta', r'$\beta$') for label in xticklabels], 
    rotation='vertical', fontsize=6) 
ax.set_yticks(np.arange(0, len(yticklabels), 1)) 
ax.set_yticklabels(yticklabels, fontsize=6, ha='left') 
ax.tick_params(axis='z', labelsize=6) 

for c, z in zip(colors, np.arange(0, 7, 1)): 
    xs = np.arange(a.shape[0]) 
    ys = a[:,z] 

    ax.bar(xs, ys, zs=z, zdir='y', color=[c] * len(xs), alpha=0.8) # yerr=[] 

ax.set_zlabel('Average (pg/mL)') 

plt.tight_layout() 

#plt.show() 
plt.savefig('una.png', bbox_inches='tight', dpi=600) 
plt.close()

來源

2015-12-14 tommy.carstensen

我不知道其他的解決方案，而不是玩的查看設置azim,elev和dist，例如：

import numpy as np 
import matplotlib.pyplot as pl 
from mpl_toolkits.mplot3d import Axes3D 

x,y = np.meshgrid(np.linspace(0,1000,10),np.linspace(0,1000,15)) 
z = np.random.random(x.shape) 

pl.figure() 
ax = pl.subplot(121, projection='3d') 
ax.plot_surface(x,y,z) 

ax = pl.subplot(122, projection='3d') 
ax.plot_surface(x,y,z) 
ax.dist = 20

這是一個粗略的例子，它不會讓圖形更好的可讀性，但它會阻止軸標籤被裁剪在正確的圖中。

來源

2015-12-14 23:21:04 Bart

matplotlib 3d投影，刻度線標籤超過邊距

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