I have the following data frame I need to iterate over the product to extract the unique values. The problem is that when I tried to iterate over the column product: The following error is shown: “‘method’ object is not iterable”. To extract the product from the sentences I have used t…
Tag: pandas
Optimal way to acquire percentiles of DataFrame rows
Problem I have a pandas DataFrame df: My desired output, i.e. new_df, contains the 9 different percentiles including the median, and should have the following format: Attempt The following was my initial attempt: However, instead of returning the percentiles of all columns, it calculated these percentiles for…
Pandas best way to iterate over rows quickly
I need to compare each value of a list to each value of a df column, and if there is a match take the value of another column. I have a couple of loops working with iterrows but the code is taking a long time to run. I was wondering if there is a more efficient way to do this?
Pandas: Replace value in column by using another column, if condition is true
I have the following dataframe: I would like to replace value in column Sector_y by using column Sector_x, if Sector_y = ” so that I get the following result: I tried using the code but didn’t deliver the result I wanted. Any suggestions how to solve the problem? Answer Fix np.where
Pandas – take multiple columns and transform them into a single column of dictionary objects?
I am trying to transform a DataFrame by combining extra columns into a dictionary. my DataFrame will always have four columns, at least: record, yhat, residual, and hat, with additional columns in different cases. My current df head looks like this: If we look at the top column, we see that there are 2 additi…
pandas: Create new column by comparing DataFrame rows with columns of another DataFrame
Assume I have df1: And a df2: I’m looking for a way to create a new column in df2 that gets number of rows based on a condition where all columns in df1 has values greater than their counterparts in df2 for each row. For example: To elaborate, at row 0 of df2, df1.alligator_apple has 4 rows which values…
Python Dataframe Convert hh:mm:ss object into datetime format
I am trying to convert HH:MM into the datetime format. It converts but it adds an unwanted year 1900. I don’t know why? My code: Present output Why I need this? I am plotting HH:MM on the x-axis and value on the y-axis. The x-axis ticks look crazy and we cannot read even after I used plt.gcf().autofmt_x…
Simplest way to add repeating counter column to pandas dataframe
I have a datafame: What is the shortes / simples way to add a repeating counter column like this?: My feeling tells me, that there must be a one-line solution (maybe a bit longer). But all I can think of would be much longer and complex. How would you approach this? Answer try: OR If you have a custom index
Get all dates between start and end date pandas columns
I’m trying to get a list of dates between two start and end date pandas columns, with individual IDs. I’ve found an answer that is basically what I’m after (https://stackoverflow.com/a/53409207/14463396) but this only works if the periods between the start and end dates don’t overlap, …
how to deal with multiple lists inside multiple column in df?
I have a df like this and I want to convert it to How can I achieve this? I tried to apply pd.series and I got an output like this I am not sure how to proceed next. Can anyone help please? Answer try via DataFrame() method and apply(): Finally: Now If you print out you will get your expected