dflow | is a minimal Dataflow programming engine | Functional Programming library
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is a minimal Dataflow programming engine.
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QUESTION
I'm leaning python pandas and playing with some example data. I have a CSV file of a dataset with net worth by percentile of US population by quarter of year. I've successfully subseted the data by percentile to create three scatter plots of net worth by year, one plot for each of three population sections. However, I'm trying to combine those three plots to one data frame so I can combine the lines on a single plot figure.
Data here: https://www.federalreserve.gov/releases/z1/dataviz/download/dfa-income-levels.csv
Code thus far:
...ANSWER
Answered 2021-May-24 at 17:03I don't see the categories mentioned in your code in the csv file you shared. In order to concat dataframes along columns, you could use pd.concat
along axis=1
. It concats the columns of same index number. So first set the Date
column as index and then concat them, and then again bring back Date
as a dataframe column.
- To set
Date
column as index of dataframe,df1 = df1.set_index('Date')
anddf2 = df2.set_index('Date')
- Concat the dataframes
df1
anddf2
usingdf_merge = pd.concat([df1,df2],axis=1)
ordf_merge = pd.merge(df1,df2,on='Date')
- bringing back
Date
into column bydf_merge = df_merge.reset_index()
QUESTION
I have a dataset of daily temperature from different locations and different years. I would like to select the minimum value and then the records 90 days after this value for each location within each year. I would also like to selected the maximum value and the the records 90 days after this. I apologise, but I am not really sure how to easily provide a reproducible example given the cyclical nature of the data.
As an example, with the following data if I want to extract the rows from 3 days after the lowest and highest temp from each year:
...ANSWER
Answered 2020-Jul-21 at 13:11Here's a tidyverse solution. In the absence of reproducible data, I have made some up that follow a cyclical pattern over a 3-year period:
QUESTION
So im working with an array of arrays, i want to calculate the mean of each array inside this array, but some of the arrays have nan values.
I dont want to remove the whole array, just the nan obejct.
im using numpy, and the array is of type float64
I have tried some of the solutions on here, but with no luck.
...ANSWER
Answered 2020-Jul-16 at 09:18This is just a quick one. There might be better solution out there.
QUESTION
I have a dataframe that contains certain columns, one of which is Position and another one is Years of Service. Based on these, I want to create a new column 'Life Cover'. I have created this function for that.
...ANSWER
Answered 2019-May-09 at 15:18The str.contains
method is a vectorized string operation ( see here). This means that it is a method for for pandas Series and not string types. When you use df.apply
, pandas tries to use str.contains
for each element of the column you selected instead of doing it at the Series level.
I would suggest the following approach:
QUESTION
Is it a good option to use
AbstractServerConnectionFactory.closeCOnnection(ClientConnId). I am using this but what happens is that after a few days of processing server starts giving "too many open files" error. I investigated that Issue by running the commands "lsof" AND "/proc/pid/fd" that showed me around 280 file descriptors for the sockets and pipes
...ANSWER
Answered 2018-Aug-13 at 15:17Closing the socket using it's ID should close it completely.
However, simply set the soTimeout
property and the operating system will notify the framework, which will close the socket if no data is received in that time.
throw new SoftEndOfStreamException
I am not sure where you are doing that, but I can't think of a scenario where it would close the server socket.
That exception should only be thrown from a deserializer (when it detects the socket closed between messages).
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