本文整理汇总了Python中matplotlib.pylab.fill_between方法的典型用法代码示例。如果您正苦于以下问题:Python pylab.fill_between方法的具体用法?Python pylab.fill_between怎么用?Python pylab.fill_between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matplotlib.pylab
的用法示例。
在下文中一共展示了pylab.fill_between方法的10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_roc
# 需要导入模块: from matplotlib import pylab [as 别名]
# 或者: from matplotlib.pylab import fill_between [as 别名]
def plot_roc(auc_score, name, tpr, fpr, label=None):
pylab.clf()
pylab.figure(num=None, figsize=(5, 4))
pylab.grid(True)
pylab.plot([0, 1], [0, 1], 'k--')
pylab.plot(fpr, tpr)
pylab.fill_between(fpr, tpr, alpha=0.5)
pylab.xlim([0.0, 1.0])
pylab.ylim([0.0, 1.0])
pylab.xlabel('False Positive Rate')
pylab.ylabel('True Positive Rate')
pylab.title('ROC curve (AUC = %0.2f) / %s' %
(auc_score, label), verticalalignment="bottom")
pylab.legend(loc="lower right")
filename = name.replace(" ", "_")
pylab.savefig(
os.path.join(CHART_DIR, "roc_" + filename + ".png"), bbox_inches="tight")
开发者ID:PacktPublishing,项目名称:Building-Machine-Learning-Systems-With-Python-Second-Edition,代码行数:19,代码来源:utils.py
示例2: plot_total_dos
# 需要导入模块: from matplotlib import pylab [as 别名]
# 或者: from matplotlib.pylab import fill_between [as 别名]
def plot_total_dos(self, **kwargs):
"""
Plots the total DOS
Args:
**kwargs: Variables for matplotlib.pylab.plot customization (linewidth, linestyle, etc.)
Returns:
matplotlib.pylab.plot
"""
try:
import matplotlib.pylab as plt
except ImportError:
import matplotlib.pyplot as plt
fig = plt.figure(1, figsize=(6, 4))
ax1 = fig.add_subplot(111)
ax1.set_xlabel("E (eV)", fontsize=14)
ax1.set_ylabel("DOS", fontsize=14)
plt.fill_between(self.energies, self.t_dos, **kwargs)
return plt
示例3: plot_pr
# 需要导入模块: from matplotlib import pylab [as 别名]
# 或者: from matplotlib.pylab import fill_between [as 别名]
def plot_pr(auc_score, precision, recall, label=None, figure_path=None):
"""绘制R/P曲线"""
try:
from matplotlib import pylab
pylab.figure(num=None, figsize=(6, 5))
pylab.xlim([0.0, 1.0])
pylab.ylim([0.0, 1.0])
pylab.xlabel('Recall')
pylab.ylabel('Precision')
pylab.title('P/R (AUC=%0.2f) / %s' % (auc_score, label))
pylab.fill_between(recall, precision, alpha=0.5)
pylab.grid(True, linestyle='-', color='0.75')
pylab.plot(recall, precision, lw=1)
pylab.savefig(figure_path)
except Exception as e:
print("save image error with matplotlib")
pass
示例4: plot_xz_landscape
# 需要导入模块: from matplotlib import pylab [as 别名]
# 或者: from matplotlib.pylab import fill_between [as 别名]
def plot_xz_landscape(self):
"""
plots the xz landscape, i.e., how your vna frequency span changes with respect to the x vector
:return: None
"""
if not qkit.module_available("matplotlib"):
raise ImportError("matplotlib not found.")
if self.xzlandscape_func:
y_values = self.xzlandscape_func(self.spec.x_vec)
plt.plot(self.spec.x_vec, y_values, 'C1')
plt.fill_between(self.spec.x_vec, y_values+self.z_span/2., y_values-self.z_span/2., color='C0', alpha=0.5)
plt.xlim((self.spec.x_vec[0], self.spec.x_vec[-1]))
plt.ylim((self.xz_freqpoints[0], self.xz_freqpoints[-1]))
plt.show()
else:
print('No xz funcion generated. Use landscape.generate_xz_function')
示例5: plot_fit_function
# 需要导入模块: from matplotlib import pylab [as 别名]
# 或者: from matplotlib.pylab import fill_between [as 别名]
def plot_fit_function(self, num_points=100):
'''
try:
x_coords = np.linspace(self.x_vec[0], self.x_vec[-1], num_points)
except Exception as message:
print 'no x axis information specified', message
return
'''
if not qkit.module_available("matplotlib"):
raise ImportError("matplotlib not found.")
if self.landscape:
for trace in self.landscape:
try:
# plt.clear()
plt.plot(self.x_vec, trace)
plt.fill_between(self.x_vec, trace + float(self.span) / 2, trace - float(self.span) / 2, alpha=0.5)
except Exception:
print('invalid trace...skip')
plt.axhspan(self.y_vec[0], self.y_vec[-1], facecolor='0.5', alpha=0.5)
plt.show()
else:
print('No trace generated.')
示例6: plot_pr
# 需要导入模块: from matplotlib import pylab [as 别名]
# 或者: from matplotlib.pylab import fill_between [as 别名]
def plot_pr(auc_score, name, phase, precision, recall, label=None):
pylab.clf()
pylab.figure(num=None, figsize=(5, 4))
pylab.grid(True)
pylab.fill_between(recall, precision, alpha=0.5)
pylab.plot(recall, precision, lw=1)
pylab.xlim([0.0, 1.0])
pylab.ylim([0.0, 1.0])
pylab.xlabel('Recall')
pylab.ylabel('Precision')
pylab.title('P/R curve (AUC=%0.2f) / %s' % (auc_score, label))
filename = name.replace(" ", "_")
pylab.savefig(os.path.join(CHART_DIR, "pr_%s_%s.png" %
(filename, phase)), bbox_inches="tight")
开发者ID:PacktPublishing,项目名称:Building-Machine-Learning-Systems-With-Python-Second-Edition,代码行数:16,代码来源:utils.py
示例7: plot_pr
# 需要导入模块: from matplotlib import pylab [as 别名]
# 或者: from matplotlib.pylab import fill_between [as 别名]
def plot_pr(auc_score, name, precision, recall, label=None):
pylab.clf()
pylab.figure(num=None, figsize=(5, 4))
pylab.grid(True)
pylab.fill_between(recall, precision, alpha=0.5)
pylab.plot(recall, precision, lw=1)
pylab.xlim([0.0, 1.0])
pylab.ylim([0.0, 1.0])
pylab.xlabel('Recall')
pylab.ylabel('Precision')
pylab.title('P/R curve (AUC = %0.2f) / %s' % (auc_score, label))
filename = name.replace(" ", "_")
pylab.savefig(
os.path.join(CHART_DIR, "pr_" + filename + ".png"), bbox_inches="tight")
开发者ID:PacktPublishing,项目名称:Building-Machine-Learning-Systems-With-Python-Second-Edition,代码行数:16,代码来源:utils.py
示例8: plot_roc
# 需要导入模块: from matplotlib import pylab [as 别名]
# 或者: from matplotlib.pylab import fill_between [as 别名]
def plot_roc(auc_score, name, fpr, tpr):
pylab.figure(num=None, figsize=(6, 5))
pylab.plot([0, 1], [0, 1], 'k--')
pylab.xlim([0.0, 1.0])
pylab.ylim([0.0, 1.0])
pylab.xlabel('False Positive Rate')
pylab.ylabel('True Positive Rate')
pylab.title('Receiver operating characteristic (AUC=%0.2f)\n%s' % (
auc_score, name))
pylab.legend(loc="lower right")
pylab.grid(True, linestyle='-', color='0.75')
pylab.fill_between(tpr, fpr, alpha=0.5)
pylab.plot(fpr, tpr, lw=1)
pylab.savefig(
os.path.join(CHART_DIR, "roc_" + name.replace(" ", "_") + ".png"))
开发者ID:PacktPublishing,项目名称:Building-Machine-Learning-Systems-With-Python-Second-Edition,代码行数:17,代码来源:utils.py
示例9: plot_pr
# 需要导入模块: from matplotlib import pylab [as 别名]
# 或者: from matplotlib.pylab import fill_between [as 别名]
def plot_pr(auc_score, name, precision, recall, label=None):
pylab.figure(num=None, figsize=(6, 5))
pylab.xlim([0.0, 1.0])
pylab.ylim([0.0, 1.0])
pylab.xlabel('Recall')
pylab.ylabel('Precision')
pylab.title('P/R (AUC=%0.2f) / %s' % (auc_score, label))
pylab.fill_between(recall, precision, alpha=0.5)
pylab.grid(True, linestyle='-', color='0.75')
pylab.plot(recall, precision, lw=1)
filename = name.replace(" ", "_")
pylab.savefig(os.path.join(CHART_DIR, "pr_" + filename + ".png"))
开发者ID:PacktPublishing,项目名称:Building-Machine-Learning-Systems-With-Python-Second-Edition,代码行数:14,代码来源:utils.py
示例10: plot_xy_landscape
# 需要导入模块: from matplotlib import pylab [as 别名]
# 或者: from matplotlib.pylab import fill_between [as 别名]
def plot_xy_landscape(self):
"""
Plots the xy landscape(s) (for 3D scan, z-axis (vna) is not plotted
:return:
"""
if not qkit.module_available("matplotlib"):
raise ImportError("matplotlib not found.")
if self.xylandscapes:
for i in self.xylandscapes:
try:
arg = np.where((i['x_range'][0] <= self.spec.x_vec) & (self.spec.x_vec <= i['x_range'][1]))
x = self.spec.x_vec[arg]
t = i['center_points'][arg]
plt.plot(x, t, color='C1')
if i['blacklist']:
plt.fill_between(x, t + i['y_span'] / 2., t - i['y_span'] / 2., color='C3', alpha=0.5)
else:
plt.fill_between(x, t + i['y_span'] / 2., t - i['y_span'] / 2., color='C0', alpha=0.5)
except Exception as e:
print(e)
print('invalid trace...skip')
plt.axhspan(np.min(self.spec.y_vec), np.max(self.spec.y_vec), facecolor='0.5', alpha=0.5)
plt.xlim(np.min(self.spec.x_vec), np.max(self.spec.x_vec))
plt.show()
else:
print('No trace generated. Use landscape.generate_xy_function')