python实现打印类的所有属性和方法

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

&ldquo;\n&rdquo; 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：

来源：https://blog.csdn.net/sunmingyang1987/article/details/116228492