This data contains the retention accounts with bonus loyalty offers. Metrics are aggregated for all accounts in 2017. Full year of 2016 is included to provide a baseline for account performance prior
I\'m working on a fun project collecting wave data in New Jersey -- I want to scrape this site every day for the upcoming calendar year and look at trends across the board.
I have dataframe that contain like this No. A B 17 NaN 12 :-- :---: ---: 18 NaN 50 :-- :---: ---: 20 Nan Nan :-- :---: ---:
I have two dataframes. The first dataframe is much smaller than the second (around 200 rows). I\'m trying to add the T17, C19, C25, C30 and C21 columns from the second dataframe to the first dataframe
I 开发者_开发百科have a dataframe that looks like this I would like to rearrange the dataframe so that for each cell on the first column, it has 27 columns by transpose the row and header. It is hard
I have a dataframe but there are words containing a lot of space, for example people = pd.DataFrame({\'id\': [1,2,3,4,5],
I would like to add a new consecutive date row at the end of a new category based on a column. Ex. based on the Area column.
We have a Flask/ML application which while training takes user input. While in production, it skips taking input 开发者_高级运维from user and reads in from a steps.ob file.
I want to convert this Pandas DataFrame to a TensorDataset import pandas as pd df = pd.DataFrame({\'A\': [[1, 2, 3], [1, 2, 3], [1, 2, 3]], \'B\': [0, 1, 0]})
I have a semicolon-delimited pandas DataFrame with all dtypes of object. Within some of the cells the string value can have ", a comma (,), or both (ex. TES"T_ING,_VALUE). I am then querying
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