I’m working with the following table: input_test input_test2 input_test3 ip_test ip_test2 ip_test3 ENSG00000000003.15 1 1 1 3 3 3 ENSG00000000457.14 2 2 2 1 1 1 ENSG00000000460.17 2 2 2 3 3 3 ENSG00000001036.14 3 3 3 4 4 4 ENSG00000001167.14 3 3 3 5 5 5 My goal is to make a new column called translation…
Tag: pandas
Make a new column for each category in a particular column and repeat this for all columns in a Pandas dataframe
I have a dataset like below-: I want new columns for each category in all columns for each state. An example of a row is below-: EDIT Data dump of 1st 5 rows as asked-: Answer Use pd.get_dummies + Groupby.sum(), as follows: Result: If you want to exclude the entries with value NA, you can use: Result:
Selecting rows based on condition in python pandas
I have a data-frame with columns as [‘ID’,’Title’,’Category’,’Company’,’Field’] and it has both blank values and at some places missing values are put as N/A. I have to pick the row which has maximum information available. For example one case could …
Create new key based on relationship between two columns
I’m trying to add a key for all related instances between two columns, then create a GroupID The logic will be: Check all instances of ID2 linked to ID1 CHeck all instances of ID1 linked to ID2 found in (1) Repeat until all relationships found Answer Let us try with networkx
How to keep n characters of each row of a pd df, where n differs by row?
I have created a df one column of which contains string values that I want to trim based on a different int value each time. Ex.: From: length String -3 adcdef -5 ghijkl I wanna get: length String -3 def -5 hijkl What I tried is the following: However, I keep getting this warning: SettingWithCopyWarning: A va…
How to return one column dataframe or single row dataframe as a dataframe or a series?
Give df, Then when selecting a single column, using: Likewise when selecting a single row, How can we force a single column or single row selection to return pd.DataFrame? Answer Getting a single row or column as a pd.DataFrame or a pd.Series There are times you need to pass a dataframe column or a dataframe …
why does ~True not work in pandas dataframe conditional
I am trying to use switches to turn on and off conditionals in a pandas dataframe. The switches are just boolean variables that will be True or False. The problem is that ~True does not evaluate the same as False as I expected it to. Why does this not work? Answer This is a pandas operator behavior (implement…
How do we get an optimum key value pair from a list of dictionaries in a dataframe column based on certain rules?
I have the following dataframe: Different ‘type’ can occur at the same ‘time’, but the need is to only get the ‘type’ and ‘value’ based on the following conditions: priority 1: the type importance is so as t>o>f priority 2: highest value to be considered f…
extract value from a list of json in pyspark
I have a dataframe where a column is in the form of a list of json. I want to extract a specific value (score) from the column and create independent columns. I want to explode my result dataframe as: Answer Assuming you have your json looks like this You can read it, flatten it, then pivot it like so
How to automatically split a pandas dataframe into multiple chunks?
We have a batch processing system which we are looking to modify to use multiple threads. The process takes in a delimited file and performs calculations on it via pandas. I would like to split up the dataframe into N chunks if the total amount of records exceeds a threshold. Each chunk should then be fed to …