本文整理汇总了Python中pylab.rcParams方法的典型用法代码示例。如果您正苦于以下问题：Python pylab.rcParams方法的具体用法？Python pylab.rcParams怎么用？Python pylab.rcParams使用的例子？那么, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类pylab的用法示例。
在下文中一共展示了pylab.rcParams方法的4个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: plot_pairplots
# 需要导入模块: import pylab [as 别名]
# 或者: from pylab import rcParams [as 别名]
def plot_pairplots(data, labels, alpha, mis, column_label, topk=5, prefix='', focus=''):
cmap = sns.cubehelix_palette(as_cmap=True, light=.9)
plt.rcParams.update({'font.size': 32})
m, nv = mis.shape
for j in range(m):
inds = np.where(np.logical_and(alpha[j] > 0, mis[j] > 0.))[0]
inds = inds[np.argsort(- alpha[j, inds] * mis[j, inds])][:topk]
if focus in column_label:
ifocus = column_label.index(focus)
if not ifocus in inds:
inds = np.insert(inds, 0, ifocus)
if len(inds) >= 2:
plt.clf()
subdata = data[:, inds]
columns = [column_label[i] for i in inds]
subdata = pd.DataFrame(data=subdata, columns=columns)
try:
sns.pairplot(subdata, kind="reg", diag_kind="kde", height=5, dropna=True)
filename = '{}/pairplots_regress/group_num={}.pdf'.format(prefix, j)
if not os.path.exists(os.path.dirname(filename)):
os.makedirs(os.path.dirname(filename))
plt.suptitle("Latent factor {}".format(j), y=1.01)
plt.savefig(filename, bbox_inches='tight')
plt.clf()
except:
pass
subdata['Latent factor'] = labels[:,j]
try:
sns.pairplot(subdata, kind="scatter", dropna=True, vars=subdata.columns.drop('Latent factor'), hue="Latent factor", diag_kind="kde", height=5)
filename = '{}/pairplots/group_num={}.pdf'.format(prefix, j)
if not os.path.exists(os.path.dirname(filename)):
os.makedirs(os.path.dirname(filename))
plt.suptitle("Latent factor {}".format(j), y=1.01)
plt.savefig(filename, bbox_inches='tight')
plt.close('all')
except:
pass 示例2: saveFig
# 需要导入模块: import pylab [as 别名]
# 或者: from pylab import rcParams [as 别名]
def saveFig(fig_fileprefix, bbox=True):
PL.rcParams['svg.fonttype'] = 'none'
for ftype in ['svg','png']:
if FIG_TYPE == 'both' or FIG_TYPE==ftype:
if bbox:
PL.savefig(getPlotDir() + '/' + fig_fileprefix +'.'+ftype, bbox_inches='tight')
else:
PL.savefig(getPlotDir() + '/' + fig_fileprefix +'.'+ftype) 示例3: plot_rels
# 需要导入模块: import pylab [as 别名]
# 或者: from pylab import rcParams [as 别名]
def plot_rels(data, labels=None, colors=None, outfile="rels", latent=None, alpha=0.8):
ns, n = data.shape
if labels is None:
labels = list(map(str, range(n)))
ncol = 5
# ncol = 4
nrow = int(np.ceil(float(n * (n - 1) / 2) / ncol))
#nrow=1
#pylab.rcParams.update({'figure.autolayout': True})
fig, axs = pylab.subplots(nrow, ncol)
fig.set_size_inches(5 * ncol, 5 * nrow)
#fig.set_canvas(pylab.gcf().canvas)
pairs = list(combinations(range(n), 2)) #[:4]
pairs = sorted(pairs, key=lambda q: q[0]**2+q[1]**2) # Puts stronger relationships first
if colors is not None:
colors = (colors - np.min(colors)) / (np.max(colors) - np.min(colors)).clip(1e-7)
for ax, pair in zip(axs.flat, pairs):
if latent is None:
ax.scatter(data[:, pair[0]], data[:, pair[1]], marker='.', edgecolors='none', alpha=alpha)
else:
# cs = 'rgbcmykrgbcmyk'
markers = 'x+.o,<>^^<>,+x.'
for j, ind in enumerate(np.unique(latent)):
inds = (latent == ind)
ax.scatter(data[inds, pair[0]], data[inds, pair[1]], c=colors[inds], cmap=pylab.get_cmap("jet"),
marker=markers[j], alpha=0.5, edgecolors='none', vmin=0, vmax=1)
ax.set_xlabel(shorten(labels[pair[0]]))
ax.set_ylabel(shorten(labels[pair[1]]))
for ax in axs.flat[axs.size - 1:len(pairs) - 1:-1]:
ax.scatter(data[:, 0], data[:, 1], marker='.')
pylab.rcParams['font.size'] = 12 #6
pylab.draw()
#fig.set_tight_layout(True)
fig.tight_layout()
for ax in axs.flat[axs.size - 1:len(pairs) - 1:-1]:
ax.set_visible(False)
filename = outfile + '.png'
if not os.path.exists(os.path.dirname(filename)):
os.makedirs(os.path.dirname(filename))
fig.savefig(outfile + '.png') #df')
pylab.close('all')
return True 示例4: plot_rels
# 需要导入模块: import pylab [as 别名]
# 或者: from pylab import rcParams [as 别名]
def plot_rels(data, labels=None, colors=None, outfile="rels", latent=None, alpha=0.8, title=''):
ns, n = data.shape
if labels is None:
labels = list(map(str, list(range(n))))
ncol = 5
nrow = int(np.ceil(float(n * (n - 1) / 2) / ncol))
fig, axs = pylab.subplots(nrow, ncol)
fig.set_size_inches(5 * ncol, 5 * nrow)
pairs = list(combinations(list(range(n)), 2))
if colors is not None:
colors = (colors - np.min(colors)) / (np.max(colors) - np.min(colors))
for ax, pair in zip(axs.flat, pairs):
diff_x = max(data[:, pair[0]]) - min(data[:, pair[0]])
diff_y = max(data[:, pair[1]]) - min(data[:, pair[1]])
ax.set_xlim([min(data[:, pair[0]]) - 0.05 * diff_x, max(data[:, pair[0]]) + 0.05 * diff_x])
ax.set_ylim([min(data[:, pair[1]]) - 0.05 * diff_y, max(data[:, pair[1]]) + 0.05 * diff_y])
ax.scatter(data[:, pair[0]], data[:, pair[1]], c=colors, cmap=pylab.get_cmap("jet"),
marker='.', alpha=alpha, edgecolors='none', vmin=0, vmax=1)
ax.set_xlabel(shorten(labels[pair[0]]))
ax.set_ylabel(shorten(labels[pair[1]]))
for ax in axs.flat[axs.size - 1:len(pairs) - 1:-1]:
ax.scatter(data[:, 0], data[:, 1], marker='.')
fig.suptitle(title, fontsize=16)
pylab.rcParams['font.size'] = 12 #6
# pylab.draw()
# fig.set_tight_layout(True)
pylab.tight_layout()
pylab.subplots_adjust(top=0.95)
for ax in axs.flat[axs.size - 1:len(pairs) - 1:-1]:
ax.set_visible(False)
filename = outfile + '.png'
if not os.path.exists(os.path.dirname(filename)):
os.makedirs(os.path.dirname(filename))
fig.savefig(outfile + '.png')
pylab.close('all')
return True
# Hierarchical graph visualization utilities