dataframe

[Solved] Dataframe: Computed row based on cell above and cell on the left

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I think you need Series.cumsum with select last row (total row) by DataFrame.iloc: df = pd.DataFrame({ ‘B’:[4,5,4], ‘C’:[7,8,9], ‘D’:[1,3,5], ‘E’:[5,3,6], }) df.loc[‘sum’] = df.sum() df.loc[‘cumsum’] = df.iloc[-1].cumsum() #if need only cumsum row #df.loc[‘cumsum’] = df.sum().cumsum() print (df) B C D E 0 4 7 1 5 1 5 8 3 3 2 4 9 5 … Read more

[Solved] python: (calling all experts out there to help) how do i write a chatbot which can commands and execute a python function?

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Well one suggestion is to use NLP Linguistic Features For ease, i will be using spacy import spacy nlp = spacy.load(‘en_core_web_md’) doc = nlp(‘Get me all sales numbers for August in the Delhi’) for token in doc: print(token.text,token.dep_,token.pos_) Output | ‘Word’ | ‘DEPENDENY’ | ‘POS’ | ———————————- |’Get’ | ‘ROOT’ | ‘AUX’ | |’me’, | … Read more

[Solved] How can I turn this txt file to a pandas DataFrame?

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As MrSmily2019 said you will want to use https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.read_csv.html. It does more than just CSV, it can do text. Additionally you can turn text files into csv. You file seems to be “TAB” delimited (how it know to separate) instead of comma. You can adjust the settings so it knows to do it on the … Read more

[Solved] How to pivot my data frame in R so that it turns into another data frame in this specific format? [duplicate]

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library(tidyr) df %>% gather(value=”amount”,key=’Type’,-SubDept2) %>% head(n=5) SubDept2 Type amount 1 Admin BasicSalary 10000 2 Bar BasicSalary 9880 3 Entertainment BasicSalary 11960 4 F&B BasicSalary 9680 5 Finance BasicSalary 10310 2 solved How to pivot my data frame in R so that it turns into another data frame in this specific format? [duplicate]

[Solved] How do I compare mathematical operations between values in two columns of an R data frame based on their position?

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We get the index of column names that start with ‘pd’ (nm1). Loop through those columns with lapply, match each column with the ‘nom’ column to get the row index. Using ifelse, we change the NA elements with the column values and the rest of the values from the ‘ID’ column. nm1 <- grep(‘^pd’, names(df1)) … Read more

[Solved] Exclude column 0 (rownames) column from data frame and csv output

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You can drop the rownames of a dataframe by simply setting them to null. They’re null by default (see ?data.frame), but sometimes they get set by various functions: # Create a sample dataframe with row.names a_data_frame <- data.frame(letters = c(“a”, “b”, “c”), numbers = c(1, 2, 3), row.names = c(“Row1”, “Row2”, “Row3”)); # View it … Read more

[Solved] How can I extract a string from a text field that matches with a “value” in my Dictionary and return the dict’s key into a new column in the Output? [closed]

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How can I extract a string from a text field that matches with a “value” in my Dictionary and return the dict’s key into a new column in the Output? [closed] solved How can I extract a string from a text field that matches with a “value” in my Dictionary and return the dict’s key … Read more