Pandas Drop rows if String has numeric (floats of 4 decimals/5 numbers) Question: I have a long list dataframe that has texts similar to the example provided in the image. dataframe is called gbs2. I want to gbs2.drop rows with numerical values that has 4 decimal places or 5 numbers ("1.2345" or "12345") Code used: …
How to remove all rows of a datframe column that contain a question mark instead of occupation Question: This is my attempt: df[‘occupation’]= df[‘occupation’].str.replace(‘?’, ”) df.dropna(subset=[‘occupation’], inplace=True) but it is not working, How do i remove all of the rows of the occupation column that i read from a csv file that contain a ? …
How to add rows to a dataframe when values are recursively dependent? Question: I have a data frame with columns a and b df = pd.DataFrame(data = [[3, 6], [5, 10], [9, 18], [17, 34]], columns = ["a", "b"]) The structure of this data is as follows, if at denotes the value of column a …
How does the below code produce more than 10 outputs as the slice operation must be restricting it to 10 values? Question: (autos["date_crawled"] .str[:10] .value_counts(normalize=True, dropna=False) .sort_index() ) here we are working with Ebay sales data(https://www.kaggle.com/datasets/viveksinghgulia/autoscsv) Running the above code gives the followiing output 2016-03-05 0.025327 2016-03-06 0.014043 2016-03-07 0.036014 2016-03-08 0.033296 2016-03-09 0.033090 2016-03-10 …
extracting a string from between to strings in dataframe Question: im trying to extract a value from my data frame i have a column [‘Desc’] it contains sentences in the folowing format _000it_ZZZ$$$- _0780it_ZBZT$$$- _011it_BB$$$- _000it_CCCC$$$- I want to extract the string between ‘it_’ and ‘$$$’ I have tried this code but does not seem …
Parse word doc using python to find all words with _ Question: I am looking to parse a word document in python and I want to load that in a DataFrame (DF) to print all the words in that DF that contains a _(underscore). Any sample code on this would be great? I have tried …
Polars equivalent of pandas expression df.groupby['col1','col2']['col3'].sum().unstack() Question: pandasdf=pd.DataFrame( { "A": [1, 2, 3, 4, 5], "fruits": ["banana", "banana", "apple", "apple", "banana"], "B": [5, 4, 3, 2, 1], "cars": ["beetle", "audi", "beetle", "beetle", "beetle"], "optional": [28, 300, None, 2, -30], } ) pandasdf.groupby(["fruits","cars"])[‘B’].sum().unstack() How can i create an equivalent truth table in polars? Something like the …
Combining 4 sets of data in python Question: I have four separate sets of data for each of the 4 quarters in the year, the columns are identical within all. What is a python function I can use to combine them into one master data set? Thank you! Asked By: Niamh || Source Answers: You …
Formating a new table using python. Punch in and Punch out employee data Question: I have a list of employee punch date: that needs to be formatted into a different table LIKE: each new row has to be a new date. I have gotten started with variables, however I am failing at iterating through the …
Compare columns common in two dataframes and copy row if the column name matches Question: I am new to Pandas and I have this below query, I have two dataframes df1 & df2 the df1 is an empty dataframe with 3 columns and df2 has 5 columns with some records. Df1 Ex below | A| …
