python打印类所有属性方法
ACE-Mayer 人气:0打印类的所有属性和方法
利用dir(obj)方法获得obj对象的所有属性和方法名，返回一个list。
for item in dir(top_k_metergroup): #top_k_metergroup是某类的一个实例化对象 print(item)
__class__ __delattr__ __dict__ __dir__ __doc__ __eq__ __format__ __ge__ __getattribute__ __getitem__ __gt__ __hash__ __init__ __init_subclass__ __le__ __lt__ __module__ __ne__ __new__ __reduce__ __reduce_ex__ __repr__ __setattr__ __sizeof__ __str__ __subclasshook__ __weakref__ _aggregate_metadata_attribute _check_kwargs_for_full_results_and_sections _collect_stats_on_all_meters _convert_physical_quantity_and_ac_type_to_cols _energy_per_meter_with_remainder _meter_generators _plot_area _plot_energy_bar _plot_sankey _plot_separate_lines _prep_kwargs_for_sample_period_and_resample _replace_none_with_meter_timeframe _set_sample_period activation_series activity_histogram all_meters appliances available_ac_types available_physical_quantities available_power_ac_types average_energy_per_period building call_method_on_all_meters clear_cache contains_meters_from_multiple_buildings correlation correlation_of_sum_of_submeters_with_mains dataframe_of_meters dataset describe disabled_meters dominant_appliance dominant_appliances draw_wiring_graph dropout_rate energy_per_meter entropy entropy_per_meter fraction_per_meter from_list from_other_metergroup get_activations get_labels get_timeframe good_sections groupby identifier import_metadata instance is_site_meter label load load_series mains matches matches_appliances meters meters_directly_downstream_of_mains min_off_duration min_on_duration mutual_information name nested_metergroups on_power_threshold pairwise pairwise_correlation pairwise_mutual_information plot plot_activity_histogram plot_autocorrelation plot_good_sections plot_lag plot_multiple plot_power_histogram plot_spectrum plot_when_on power_series power_series_all_data proportion_of_energy proportion_of_energy_submetered proportion_of_upstream proportion_of_upstream_total_per_meter sample_period select select_top_k select_using_appliances simultaneous_switches sort_meters submeters switch_times total_energy train_test_split union upstream_meter uptime use_alternative_mains values_for_appliance_metadata_key vampire_power when_on wiring_graph
python中更多种类的打印
1.print("." * 10） 是输出10个 "."
把每个字母相加输出就可以得到相应的字符串。
print("Mary had a little lamb.")
print("Its fleece was white as {}." .format('snow')) #将snow放入字符串的相应位置
print("And everywhere that Mary went.")
print("." * 10) # what'd that do?
end1 = "C"
end2 = "h"
end3 = "e"
end4 = "e"
end5 = "s"
end6 = "e"
end7 = "B"
end8 = "u"
end9 = "r"
end10 = "g"
end11 = "e"
end12 = "r"
# watch that comma at the end. try removing it to see what happens
print(end1 + end2 + end3 + end4 + end5 + end6, end = ' ' ) # end = ' ' 为连接前后的成分，使其不换行
print(end7 + end8 + end9 + end10 + end11 + end12)运行结果：
2.用了一个自定义的函数 formatter
其作用是：
<1>.取第1行定义的 formatter 字符串。
<2>.调用它的 format 函数,这相当于告诉它执行一个叫 format 的命令行命令。
<3>.给 format 传递4个参数，这些参数和 formatter 变量中的{}匹配，相当于将参数传递给了 format 这个命令。
<4>.在 formatter 上调用 format的结果是一个新字符串，其中的{}被4个变量替换掉了，这就是 print 现在打印出的结果。
formatter="{} {} {} {}"
print(formatter.format(1,2,3,4))
print(formatter.format("one","two","three","four"))
print(formatter.format(True,False,False,True))
print(formatter.format(formatter,formatter,formatter,formatter))
print(formatter.format(
"Try your",
"Own text here",
"Maybe a poem",
"or a song about fear"
))运行结果：
3.这个主要是讲定义的字符串可以直接打印出来
“\n” 是换行符。
# Here's some new strange stuff, remember type it exactlyself.
days = "Mon Tue Wed Thu Fri Sat Sun"
months = "\nJan\nFeb\nMar\nApr\nMay\nJun\nJul\nAug"
print("Here are the days: ", days)
print("here are the months: ", months)
print("""
There's something going on here.
With the three double-quotes.
we'll be able to type as much as we like.
Even 4 lines if we want, or 5, or 6.
""")运行结果：
以上为个人经验，希望能给大家一个参考，也希望大家多多支持。
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