is there a way to directly use
from pandas.tseries.holiday import USFederalHolidayCalendar
in order to subsequently generate a DatetimeIndex, which excludes holidays?
it does not seem like pd.bdate_range() can accept such an argument, but surely there must be some convenient way to accomplish this?
edit:
was able to create a frequency parameter with the CustomBusinessDay() class
USBDay = CustomBusinessDay(calendar=USFederalHolidayCalendar())
pd.bdate_range(start=start, end=end, freq=USBDay)
problem solved!
solution:
was able to create a frequency parameter with the CustomBusinessDay() class
USBDay = CustomBusinessDay(calendar=USFederalHolidayCalendar())
pd.bdate_range(start=start, end=end, freq=USBDay)
Related
I have a hierarchy of data that i would like to build using classes instead of hard coding it in. The structure is like so:
Unit (has name, abbreviation, subsystems[5 different types of subsystems])
Subsystem ( has type, block diagram(photo), ParameterModel[20 different sets of parameterModels])
ParameterModel (30 or so parameters that will have [parameter name, value, units, and model index])
I'm not sure how to do this using classes but what i have made kindof work so far is creating nested dictionaries.
{'Unit':{'Unit1':{'Subsystem':{'Generator':{Parameter:{'Name': param1, 'Value':1, 'Units': 'seconds'}
like this but with 10-15 units and 5-6 subsystems and 30 or so parameters per subsystem. I know using dictionaries is not the best way to go about it but i cannot figure out the class sharing structure or where to start on building the class structure.
I want to be able to create, read, update and delete, parameters in a tkinter gui that i have built as well as export/import these system parameters and do calculations on them. I can handle the calculations and the import export but i need to create classes that will build out this structure and be able to reference each individual unit/subsystem/parameter/value/etc
I know thats alot but any advice? ive been looking into the factory and abstract factory patterns in hope to try and figure out how to create the code structure but to no avail. I have experience with matlab, visual basic, c++, and various arduio projects so i know most basic programming but this inheritance class structure is something i cannot figure out how to do in an abstract way without hardcoding each parameter with giant names like Unit1_Generator_parameterName_parameter = ____ and i really dont want to do that.
Thanks,
-A
EDIT: Here is one way I've done the implementation using a dictionary but i would like to do this using a class that can take a list and make a bunch of empty attributes and have those be editable/callable generally like setParamValue(unit, susystem, param) where i can pass the unit the subsystem and then the parameter such as 'Td' and then be able to change the value of the key,value pair within this hierarchy.
def create_keys(list):
dict = {key: None for key in list}
return dict
unit_list = ['FL','ES','NN','SF','CC','HD','ND','TH'] #unit abbreviation
sub_list = ['Gen','Gov','Exc','PSS','Rel','BlkD']
params_GENROU = ["T'do","T''do","T'qo","T''qo",'H','D','Xd','Xq',"Xd'","Xq'","X''d=X''q",'Xl','S(1.0)','S(1.2)','Ra'] #parameter names
dict = create_keys(unit_list)
for key in dict:
dict[key] = create_keys(sub_list)
dict[key]['Gen'] = create_keys(params_GENROU)
and inside each dict[unit][Gen][ParamNames] there should be a dict containing Value, units(seconds,degrees,etc), description and CON(#basically in index for another program we use)
Here is a list of random variable, is it possible to define a new one?
Yes. You need to subclass rv_generic and implement at least _pdf .
The docstring of rv_continuous gives some guidance
I have discovered the pandas DataFrame.query method and it almost does exactly what I needed it to (and implemented my own parser for, since I hadn't realized it existed but really I should be using the standard method).
I would like my users to be able to specify the query in a configuration file. The syntax seems intuitive enough that I can expect my non-programmer (but engineer) users to figure it out.
There's just one thing missing: a way to select everything in the dataframe. Sometimes what my users want to use is every row, so they would put 'All' or something into that configuration option. In fact, that will be the default option.
I tried df.query('True') but that raised a KeyError. I tried df.query('1') but that returned the row with index 1. The empty string raised a ValueError.
The only things I can think of are 1) put an if clause every time I need to do this type of query (probably 3 or 4 times in the code) or 2) subclass DataFrame and either reimplement query, or add a query_with_all method:
import pandas as pd
class MyDataFrame(pd.DataFrame):
def query_with_all(self, query_string):
if query_string.lower() == 'all':
return self
else:
return self.query(query_string)
And then use my own class every time instead of the pandas one. Is this the only way to do this?
Keep things simple, and use a function:
def query_with_all(data_frame, query_string):
if query_string == "all":
return data_frame
return data_frame.query(query_string)
Whenever you need to use this type of query, just call the function with the data frame and the query string. There's no need to use any extra if statements or subclass pd.Dataframe.
If you're restricted to using df.query, you can use a global variable
ALL = slice(None)
df.query('#ALL', engine='python')
If you're not allowed to use global variables, and if your DataFrame isn't MultiIndexed, you can use
df.query('tuple()')
All of these will property handle NaN values.
df.query('ilevel_0 in ilevel_0') will always return the full dataframe, also when the index contains NaN values or even when the dataframe is completely empty.
In you particular case you could then define a global variable all_true = 'ilevel_0 in ilevel_0' (as suggested in the comments by Zero) so that your engineers could use the name of the global variable in their config file instead.
This statement is just a dirty way to properly query True like you already tried. ilevel_0 is a more formal way of making sure you are referring the index. See the docs here for more details on using in and ilevel_0: https://pandas.pydata.org/pandas-docs/stable/indexing.html#the-query-method
Is there a Way to get the BuiltInParameterId (Ex:BuiltInParameter.SHEET_SIZE)
from a Parameter ElementId.
I have a number extracted from an Schedule Field (-1010106)
and I want to get the BuildInParameter-id.
Currently I am doing it like this:
BIPdic = {i.value__ : i for i in BuiltInParameter.GetValues(BuiltInParameter)}
bipid= BIPdic[-1010106]
I could not find an easier way. (Its easy, but I have to built a dictionary
from all (over 3000 BuiltInParameters)).
THX
tillbaum
I am not absolutely sure I know what you mean. Check out the description of the ElementId constructor taking a BuiltInParameter input argument.
You can also take a look at the built-in parameter checker BipChecker and its BipChecker GitHub repo. It iterates over all built-in parameter values and tries to retrieve a parameter value for each one.
That sounds pretty similar to what you are after with your dictionary.
An external R library uses the as.character function to convert objects of different classes to strings. That works fine except for my date objects (classes "POSIXlt" and "POSIXt"): Normally the output is like "2010-11-04 10:43:00" (which is perfect) but every time when time is 00:00:00 (midnight) the time component is ommited and only the date component is shown like "2010-11-04". But for further processing I need a consistent output format. So the time component should be displayed in any case.
I can't simply use the format function because the external library does the call. So I thought that overwriting the as.character function for the classes "POSIXlt" and "POSIXt" could be a solution but I don't know how. Other ideas are welcome :)
You can overwrite the as.character method for POSIXct objects simply by creating your own.
as.character.POSIXct <- function(x, format="%Y-%m-%d %H:%M:%S", ...)
format(x, format=format, ...)
In this case though, there is no existing as.character.POSIXct so you're not actually overwriting anything. You are, however, overriding the default as.character.POSIXt method, which is what would be called in the absence of a POSIXct method.