How to reset a sequence in a R dataframe's column, based on the levels of a different column

How to reset a sequence in a R dataframe's column, based on the levels of a different column Problem Description: I have data that logs subject and session information in columns like so: > Subject <- c(rep("A", 6), rep("B", 7)) > Session <- c(rep(1, 3), rep(2, 3), rep(8, 4), rep(9, 3)) > df <- data.frame(Subject, … Read more

Why am I getting KeyErrors when accessing multiple rows in a dataframe?

Why am I getting KeyErrors when accessing multiple rows in a dataframe? Problem Description: I am trying to write the following condition to map MARKET_STATES.OPENING_AUCTION, however I am getting KeyError: (False, False, False) when I run the following: market_info_df.loc[market_info_df[‘issue_status’ == ’10’, ‘market_phase’ == ‘0’, ‘trading_state’ == ‘ ‘].iloc[0]] = MARKET_STATES.OPENING_AUCTION Two questions: What is it … Read more

filter a DataFrame using complete word only

filter a DataFrame using complete word only Problem Description: I have a large DataFrame (named: complete) of data (only two columns). I want to filter it using complete words only, instead of substrings. Ex: complete dataframe: comment sentiment fast running 0.9 heavily raining 0.5 in the house 0.1 coming in 0.0 rubbing it -0.5 if … Read more

Remove duplicates based on combination of two columns in Pandas

Remove duplicates based on combination of two columns in Pandas Problem Description: I need to delete duplicated rows based on combination of two columns (person1 and person2 columns) which have strings. For example person1: ryan and person2: delta or person 1: delta and person2: ryan is same and provides the same value in messages column. … Read more

Pandas: Replace and remove character in columns

Pandas: Replace and remove character in columns Problem Description: I have a dataframe in pandas, in this format: I need to perform formatting on my dataframe that is larger than this, generally speaking only on the ‘CTe’ column CTe = ["1221-2","12321-45","123-3"] UF = [‘A’,’B’,’C’] df = pd.DataFrame( data = zip(CTe,UF), columns=["CTe","UF"]) And I would like … Read more

Check if the corresponding elements in two different list of dataframes are equal

Check if the corresponding elements in two different list of dataframes are equal Problem Description: I have a two separate list of dataframes. The first list of dataframe is lst1 $`1` [1] 8.523769e-05 6.615035e-05 1.177740e-04 1.173578e-04 8.798214e-05 6.328218e-05 4.768889e-05 3.658710e-05 [9] 1.294623e-05 1.179838e-06 1.010590e-06 5.204994e-07 2.128048e-06 6.876634e-06 6.011750e-06 5.160903e-05 [17] 5.318722e-05 1.029438e-04 1.173397e-04 $`2` [1] … Read more

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