event-driven architecture
Event-driven architecture (EDA) is a software architecture pattern promoting the production, detection, consumption of, and reaction to events.
Questions tagged [eda]
108 questions
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pspice -> ngspice conversion -- Absolute Value Function
I am trying to port an existing PSPICE model (the HP Memristor Model) to ngspice... is there an absolute value function for ngspice?
Original PSPICE Model:
.SUBCKT modelmemristor plus minus PARAMS: +phio=0.95 Lm=0.0998 w1=0.1261 foff=3.5e-6…
user988098
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How to add annotations (values) in pivot table using Python?
Below is my data.
Sub-Region sb1 sb2 sb3 sb4 sb5 sb6 sb7 sb8
Region
North NaN NaN 2 NaN 9 1 NaN 2
South 3 4 NaN 7 NaN NaN 1 NaN
Below is my code.
v = v1.pivot_table(index='Region',…
SOURAVI BISWAS
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How to zip (aggregate) multiple events into single one?
I want to subscribe to two events and publish a new one only when both of the previous ones happen.
How to implement it properly? Which message broker is suitable for this case?
I'm currently researching the event aggregation pattern but can't…
Vadym
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Where does "current state" is stored in event sourcing?
I understand cqrs, but I'm having problems with a part of event sourcing. Everyone says "You don't store the aggregate's current state, you store the sequence of events that were applied to that aggregate". Fine by me. But in order to apply a…
stackoverflower
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Meaning of f{col :-<50}
I was making a project and then came across this bit of code, i would like to know what is the meaning of the f'{col:-<50}
.
I have also attached the output of the code, i know that above one is a f statement but am not able to decode it for the…
Meetu Kaur
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What to do with groups of a very small size during EDA?
I'm a beginner data analyst (Python) and I'm currently working on two study projects. I'm stuck with this issue: while exploring different categories of my datasets I find groups of a very small size (fewer than a 100 observations in a dataset of 20…
Dasha
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Issue of bars being of equal height in Pandas matplotlib
What could be the issue here, all bars are of equal height?
bar plot in plt
data used
Am doing an analysis of quantity of products sold in each City and plotting through plt.bar, why are the bars of equal height? I will appreciate your assistance.
Mtemi
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Replayability of Events in Event Sourced System with EDA
I have 2 CQRS+ES Event Driven System (EDS), they both share the same EventStore and my EventStore also streams its data being like an EventBus. Currently both EDS subscribes to the same EventBus but are listening to different events.
When EDS2…
deviantxdes
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Fillna function not working with indexing
l1=train. Index\[train\['Pclass'\]==1\]
train.iloc\[l1,5:6\].fillna(37,inplace=True)
train.iloc\[l1,5:6\].isnull().sum()
Why is the fillna function not filling na values?
I need to fill na values in column with specific values for specific…
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Pandas CategoricalDtype making output zero (0)
I am trying to use the CategoricalDtype for a column by the name 'calendar month' to order the values in it from January through December. It is however NOT outputting the correct results. Not sure what I am doing wrong. Can someone please…
soldierdatascientist
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Is there a way to get a list of all my categorical and numerical features in Pycaret?
I am using Pycaret for a classification problem and I want to get a list of all the categorical and numerical variables inferred by setup() for EDA. Is there a way to do this?
I have tried looking at any function in the documentation but couldn't…
sbhadwal
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2 answers
Merging dataframes where the common column has repeating values
I would like to merge several sensor files which have a common column as "date" whose value is the time the sensor data was logged in. These sensors log the data every second. My task is to join these sensor data into one big dataframe. Since there…
ethicalguy
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Scania’s Air Pressure System's Failures
I am working on a Data set called Scania’s Air Pressure System's Failures.
The dataframe has columns with missing values.
How do I replace the zero with the mean?
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Exploratory Data Analysis on Datasets with too much variables
My question is a little bit theoretical.
I have a dataset with 100+ columns, Every EDA method that I use results in a messed-up plot, How can I get more interpretable plots and tables with such data?
Zine eddine Boumaza
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Dataframe have many comma values and they need to be replaced with mean values while unique values have comma which need to be replaced separately?
I am trying to find unique values from the age column in Dataframe and then like to replace commas with an empty string. However, some cells only have comma (no value) shown in the output, and I would like to replace that with a mean value of that…
hunny
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