日本免费高清视频-国产福利视频导航-黄色在线播放国产-天天操天天操天天操天天操|www.shdianci.com

學無先后,達者為師

網站首頁 編程語言 正文

python實現打印類的所有屬性和方法_python

作者:ACE-Mayer ? 更新時間: 2022-07-15 編程語言

打印類的所有屬性和方法

利用dir(obj)方法獲得obj對象的所有屬性和方法名,返回一個list。

for item in dir(top_k_metergroup): ?#top_k_metergroup是某類的一個實例化對象
? ? 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中更多種類的打印

1.print("." * 10) 是輸出10個 "."?

把每個字母相加輸出就可以得到相應的字符串。

print("Mary had a little lamb.")
print("Its fleece was white as {}." .format('snow'))   #將snow放入字符串的相應位置
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 = ' ' 為連接前后的成分,使其不換行
print(end7 + end8 + end9 + end10 + end11 + end12)

運行結果:

2.用了一個自定義的函數 formatter

其作用是:

<1>.取第1行定義的 formatter 字符串。

<2>.調用它的 format 函數,這相當于告訴它執行一個叫 format 的命令行命令。

<3>.給 format 傳遞4個參數,這些參數和 formatter 變量中的{}匹配,相當于將參數傳遞給了 format 這個命令。

<4>.在 formatter 上調用 format的結果是一個新字符串,其中的{}被4個變量替換掉了,這就是 print 現在打印出的結果。

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"       
))

運行結果:

3.這個主要是講定義的字符串可以直接打印出來

“\n” 是換行符。

# 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.
   """)

運行結果:

原文鏈接:https://blog.csdn.net/sunmingyang1987/article/details/116228492

欄目分類
最近更新