python - 将两个图形保存在同一个 png 文件中（matplotlib）
问题描述
我正在运行以下 python 函数：
def plot_keras_history(history, embeddings_dimension, batch_size, version_data_control): #where history = model.fit()
"""
:param history:
:return:
"""
# the history object gives the metrics keys.
# we will store the metrics keys that are from the training sesion.
metrics_names = [key for key in history.history.keys() if not key.startswith('val_')]
for i, metric in enumerate(metrics_names):
# getting the training values
metric_train_values = history.history.get(metric, [])
# getting the validation values
metric_val_values = history.history.get("val_{}".format(metric), [])
# As loss always exists as a metric we use it to find the
epochs = range(1, len(metric_train_values) + 1)
# leaving extra spaces to align with the validation text
training_text = " Training {}: {:.5f}".format(metric,
metric_train_values[-1])
# metric
fig1 = plt.gcf()
plt.figure(i, figsize=(12, 6))
plt.plot(epochs,
metric_train_values,
'b',
label=training_text)
# if we validation metric exists, then plot that as well
if metric_val_values:
validation_text = "Validation {}: {:.5f}".format(metric,
metric_val_values[-1])
plt.plot(epochs,
metric_val_values,
'g',
label=validation_text)
# add title, xlabel, ylabe, and legend
plt.title('Model Metric: {}'.format(metric))
plt.xlabel('Epochs')
plt.ylabel(metric.title())
plt.legend()
plt.draw()
fig1.savefig(os.path.join(os.getcwd(), 'plot_two_figures_{0}_{1}_{2}.png'.format(embeddings_dimension, batch_size, version_data_control)), dpi=100)
plt.show()
plt.close()
- history 参数是神经网络的 model.fit() 结果
- 嵌入维度=300
- 批量大小=64
- version_data_control（当前日期）
上述函数在 Jupyter Notebook 的 iPyhton 单元格中打印：
但是 savefig png 文件只包含其中一个。
保存两张图时出现什么问题，并且只保存了其中一张？并且形状错误。它应该是 12x6。
按照评论中的建议将图形更改为 subplot() ：
def plot_keras_history(history, embeddings_dimension, batch_size, version_data_control): #where history = model.fit()
"""
:param history:
:return:
"""
# the history object gives the metrics keys.
# we will store the metrics keys that are from the training sesion.
metrics_names = [key for key in history.history.keys() if not key.startswith('val_')]
fig = plt.gcf()
fig, axs = plt.subplots(2)
for i, metric in enumerate(metrics_names):
# getting the training values
metric_train_values = history.history.get(metric, [])
# getting the validation values
metric_val_values = history.history.get("val_{}".format(metric), [])
# As loss always exists as a metric we use it to find the
epochs = range(1, len(metric_train_values) + 1)
# leaving extra spaces to align with the validation text
training_text = " Training {}: {:.5f}".format(metric,
metric_train_values[-1])
# metric
plt.figure(i, figsize=(12, 6))
axs[i].plot(epochs,
metric_train_values,
'b',
label=training_text)
# if we validation metric exists, then plot that as well
if metric_val_values:
validation_text = "Validation {}: {:.5f}".format(metric,
metric_val_values[-1])
axs[i].plot(epochs,
metric_val_values,
'g',
label=validation_text)
# add title, xlabel, ylabe, and legend
plt.title('Model Metric: {}'.format(metric))
plt.xlabel('Epochs')
plt.ylabel(metric.title())
plt.legend()
plt.draw()
fig.savefig(os.path.join(os.getcwd(), 'model_one\\ploting_training_validation_performance_{0}_{1}_{2}.png'.format(embeddings_dimension, batch_size, version_data_control)), dpi=100)
plt.show()
plt.close()
，我收到以下错误：
我的代码的第三次更改（认为我做到了）：
def plot_keras_history(history, embeddings_dimension, batch_size, version_data_control): #where history = model.fit()
"""
:param history:
:return:
"""
# the history object gives the metrics keys.
# we will store the metrics keys that are from the training sesion.
metrics_names = [key for key in history.history.keys() if not key.startswith('val_')]
fig = plt.gcf()
fig, axs = plt.subplots(2)
for i, metric in enumerate(metrics_names):
# getting the training values
metric_train_values = history.history.get(metric, [])
# getting the validation values
metric_val_values = history.history.get("val_{}".format(metric), [])
# As loss always exists as a metric we use it to find the
epochs = range(1, len(metric_train_values) + 1)
# leaving extra spaces to align with the validation text
training_text = " Training {}: {:.5f}".format(metric,
metric_train_values[-1])
axs[i].plot(epochs,
metric_train_values,
'b',
label=training_text)
# if we validation metric exists, then plot that as well
if metric_val_values:
validation_text = "Validation {}: {:.5f}".format(metric,
metric_val_values[-1])
axs[i].plot(epochs,
metric_val_values,
'g',
label=validation_text)
# add title, xlabel, ylabe, and legend
plt.title('Model Metric: {}'.format(metric))
plt.xlabel('Epochs')
plt.ylabel(metric.title())
plt.legend()
fig.savefig(os.path.join(os.getcwd(), 'model_one\\ploting_training_validation_performance_{0}_{1}_{2}.png'.format(embeddings_dimension, batch_size, version_data_control)), dpi=100)
plt.show()
plt.draw()
plt.close()
标准输出：
