Factor out the name of the dataframe in python pandas to get better to read mathematical expressions

If you do for example mathematical operations with columns of a python pandas dataframe (call it data), you repeatedly have to write data do access the columns, which is very annoying, if you want …

Add a character at start of a regex match in Pandas

I have a dataframe that has two columns, id and text df = pd.DataFrame([[1, ‘Hello world 28’], [2, ‘Hi how are you 9′], [3, ’19 Hello’]], columns=[‘id’,’text’]) id text 1 Hello world 28 …

Sort dataframe by substring condition excluding similar strings

I have a dataframe with a string type column named ‘tag’, tag has three categories (data_types): df[‘tag’] data_types=[‘DATA’,’DATAKIND’,’DATAKINDSIM’] If I want to count the number of rows there are …

Pandas : DataFrame columns are not unique when making dictionary

I have a dataframe like this: Name Alt_01 Alt_02 AAPL Apple apple Inc. AMZN Amazon NaN in order to check if string contains alt names, I build code like: search_dict = df.set_index(‘Name’).T….

Check for value of an dataframe exists in another and set values in a specific way accounting for duplicates

I have two dataframes In df1, i got an order of id’s assigned to people, each person can have at most 2 id’s: df1 id1 id2 2040 0 2041 2050 2042 0 2043 0 2044 2051 2045 …

Iterating through multiple rows using multiple values from nested dictionary to update data frame in python

I created nested dictionary to keep multiple values for each combination, example rows in the dictionary is as follows:- dict = {‘A’: {B: array([1,2,3,4,5,6,7,8,9,10]), C: array([array([1,2,3,4,5,6,7,…

Replacing values using dictionary

What are the reasons why are regex replacment doesn’t work? I have tried ensuring no excess spaces. df.column 0 Test_With_Him 1 And_another option with him 2 and_another reason with her …

Pandas dataframe custom formatting string to time

I have a dataframe that looks like this DEP_TIME 0 1851 1 1146 2 2016 3 1350 4 916 … 607341 554 607342 633 607343 657 607344 …

How to select rows where date is in index in Python Pandas DataFrame?

I have DataFrame in Pythonlike below where data is in index (we can name this column “date”): and I would like to select all column of this DF where data in index is > than 01.01.2020, …

Filter DataFrame based on partial matching string from list

I have a dataframe with lots of categories. Here list of some of them Bank (0827) ОСП (0283) Банк ВТБ (ПАО) (0822) ОСИП_ПЕНСЫ …