本文整理汇总了Python中OCO_Matrix.OCO_Matrix.as_dict方法的典型用法代码示例。如果您正苦于以下问题：Python OCO_Matrix.as_dict方法的具体用法？Python OCO_Matrix.as_dict怎么用？Python OCO_Matrix.as_dict使用的例子？那么恭喜您, 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OCO_Matrix.OCO_Matrix的用法示例。
在下文中一共展示了OCO_Matrix.as_dict方法的2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: load_existing_data
# 需要导入模块: from OCO_Matrix import OCO_Matrix [as 别名]
# 或者: from OCO_Matrix.OCO_Matrix import as_dict [as 别名]
def load_existing_data(self, data_file):
existing_obj = OCO_Matrix(data_file, as_strings=True)
dict_data = existing_obj.as_dict(RUN_COLUMN_NAME)
return existing_obj.labels, dict_data示例2: plot_gosat_summ
# 需要导入模块: from OCO_Matrix import OCO_Matrix [as 别名]
# 或者: from OCO_Matrix.OCO_Matrix import as_dict [as 别名]
def plot_gosat_summ(summary_files):
if len(summary_files) > 1:
summary_names, common_part = OCO_TextUtils.extract_run_names(summary_files, return_common=True)
else:
common_part = summary_files[0]
plot_data = {}
for curr_summ_file in summary_files:
file_obj = OCO_Matrix(curr_summ_file, as_strings=True)
plot_data = file_obj.as_dict(DICT_KEY_COLUMN, existing_dict=plot_data)
figure_index = 0
x_axis_index = []
for curr_yaxis in PLOT_TYPES:
for curr_filter in PLOT_FILTERS:
legend_names = []
plot_objs = []
fig = None
curr_axis = None
for leg_idx, curr_legend in enumerate(LEGEND_VALUES):
# Extract plot data
x_data = []
y_data = []
for scene_name, scene_data in plot_data.items():
if not re.search(curr_filter[0], scene_name) or not re.search(curr_legend[0], scene_name):
continue
if not scene_data.has_key(X_AXIS[0]) or not scene_data.has_key(curr_yaxis[0]):
continue
print 'Using scene: ', scene_name, 'for', curr_filter[1], curr_legend[1]
x_value = scene_data[X_AXIS[0]]
y_value = scene_data[curr_yaxis[0]]
if len(X_AXIS) >= 3:
axis_match = re.search(X_AXIS[2], x_value)
x_value = axis_match.group()
if len(X_AXIS) >= 4:
if not x_value in x_axis_index:
x_axis_index.append(x_value)
x_value = x_axis_index.index(x_value)
try:
x_value = float(x_value)
except:
pass
y_value = float(y_value)
if abs(y_value - FILL_VALUE) > 1e-2:
y_value *= curr_yaxis[2]
insert_point = bisect.bisect(x_data, x_value)
x_data.insert(insert_point, x_value)
y_data.insert(insert_point, y_value)
if len(x_data) > 0:
if fig == None:
fig = pyplot.figure(figure_index)
fig.clf()
curr_axis = pyplot.subplot(111)
curr_plot_obj = pyplot.plot(x_data, y_data, 'x')
plot_objs.append( curr_plot_obj )
legend_names.append( curr_legend[1] )
if len(plot_objs) > 0:
figure_index += 1
curr_axis.set_xlabel(X_AXIS[1])
curr_axis.set_ylabel(curr_yaxis[1])
curr_axis.set_title('%s -- %s' % (curr_filter[1], common_part))
leg = curr_axis.legend( plot_objs,
legend_names,
loc='lower right',
borderpad = 0.1,
labelspacing = 0.05,
borderaxespad = 0.2,
)
pyplot.show()