I need to improve the performance of the following dataframe slices matching. What I need to do is find the matching trips between 2 dataframes, according to the sequence column values with order conserved. My 2 dataframes: Expected output: This is the following code I’ m using: Despite working, this is very time costly and unefficient as my real dataframes
Tag: match
Pandas: return rows that have two matching columns commonality
I am trying to write a commonality script which will return rows in a pandas dataframe that have two matching columns, and also will sum up the number of rows with matches into a new column OPERATION and MACHINE are the columns to match Input: BATCH OPERATION MACHINE DATE 1A 4000 Printer1 01-Jan-22 1A 2000 Fax1 02-Jan-22 1B 4000 Printer2
Count number of matches in pairs of pandas dataframe rows
I have been trying to count the number of times different values in a row of dataframe matches with column-wise values in other rows and provide an output. To illustrate, I have a dataframe (df_testing) as follows: I am looking to count the number of exact matches among rows for values in Col_1 to Col_4. For example, Row 0 has
Python Match Case (Switch) Performance
I was expecting the Python match/case to have equal time access to each case, but seems like I was wrong. Any good explanation why? Lets use the following example: And define a quick tool to measure the time: If we run each 10000000 times each case, the times are the following: Just wondering why the access times are different. Isn’t
match dtypes of one df to another with different number of columns
I have a dataframe that has 3 columns and looks like this: The other dataframe looks like this: I need to match the data types of one df to another. Because I have one additional column in df_1 I got an error. My code looks like this: I got an error: KeyError: ‘profitable’ What would be a workaround here? I
regex match not working on simple string with Pyteomics parser
I am performing an in silico digestion of the human proteome, meaning that I am trying to chopped the amino acid sequence of every protein at a certain position. I am using the Pyteomics parser function Pyteomics Parser within a bigger function that I have created. I am getting this error: PyteomicsError: Pyteomics error, message: “Not a valid modX sequence:
Regex: allow comma-separated strings, including characters and non-characters
I’m finding it difficult to complete this regex. The following regex checks for the validity of comma-separated strings: ^(w+)(,s*w+)*$ So, this will match the following comma-separated strings: Then, I can do the same for non-characters, using ^(W+)(,s*W+)*$, which will match: I would like to create a regex which matches strings which include special characters, and hyphens and underscore, e.g. foo-bar,
Dictionary keys match on list; get key/value pair
In python… I have a list of elements ‘my_list’, and a dictionary ‘my_dict’ where some keys match in ‘my_list’. I would like to search the dictionary and retrieve key/value pairs for the keys matching the ‘my_list’ elements. I tried this… But it doesn’t do the job. Answer (I renamed list to my_list and dict to my_dict to avoid the conflict
What is the difference between re.search and re.match?
What is the difference between the search() and match() functions in the Python re module? I’ve read the Python 2 documentation (Python 3 documentation), but I never seem to remember it. I keep having to look it up and re-learn it. I’m hoping that someone will answer it clearly with examples so that (perhaps) it will stick in my head.