Current df: I have the df with Date and a float number. Date is the index and is unique. I would like to create a new df based on the dates found in the next df. I expect to get: In other word I want to filter the initial df and find all rows between all the dates found in
Tag: pandas
Filter Value x in CSV Python
I am trying to filter the AREA field. I only want to see data of AREA DE F2 How can I do this? I’ve searched Google.enter image description here Answer You need to use you have the .loc[] in the wrong position
How create a column in dataframe1 based on a column created in dataframe2, which is derived by using groupby() on dataframe1
Firstly I apologise for how poorly worded the title is. I have 2 pandas dataframes. X_train and crunched_X_train. crunched_X_train is derived from X_train by using groupby() on a column named id. I then did some stuff on crunched_X_train such that I created a new column in this dataframe named label. For each…
How to fill cell by cell of an empty pandas dataframe which has zero columns with a loop?
I need to scrape hundreds of pages and instead of storing the whole json of each page, I want to just store several columns from each page into a pandas dataframe. However, at the beginning when the dataframe is empty, I have a problem. I need to fill an empty dataframe without any columns or rows. So the loo…
AttributeError: module ‘pandas’ has no attribute ‘get_dummes’
I follow documentation here: https://pandas.pydata.org/docs/reference/api/pandas.get_dummies.html and I would like to create dummies using get_dummes() My code: but I get an error AttributeError: ‘DataFrame’ object has no attribute ‘get_dummes’. I use pandas 1.3.4. Why? Answer I think …
add_datepart( ) produces KeyError
I’m trying to split a date column in a pandas data frame using add_datepart( ). However, running trainingSetFirstCycle = add_datepart(trainingSetFirstCycle, trainingSetFirstCycle.date, drop=True) returns this error message: I checked the documentation to see what I’d done wrong. In the example sho…
How to change string based on list in pandas
I have a mapper as follows and a pandas series as follows I want to change the gm and mls to the key from the mapper such that the result is as follows How do I go about doing this? Answer First flatten nested list of dict to dictonary with words boundaries and pass to Series.replace: If need always repalce
TypeError: cannot concatenate object of type ”; only Series and DataFrame objs are valid
I have a list of 10 dataframes named d0, d1, d2,…d9. All have 3 columns and 100 rows. I want to merge all dataframes so that I can have 3 columns and 1000 rows and then convert it into an array. The above code throws error: I used the solution suggested in pd.concat in pandas is giving a TypeError: cann…
Convert subset of columns to rows by combining columns
Pandas 1.1.4 MRE: Want to make it into I can do it, but want to explore more (clean) options. My sol’tn But code is dirty. Answer This is essentially a reshape operation using stack
dedup records(window function pandas)
Hi I am looking to dedup my records ordered by cancel date so I will only be interested in the most recent record. sample data id cancel_date type_of_fruit 1 2021-03-02 apple 1 2021-01-01 apple 2 2021-02-01 orange expected output id cancel_date type_of_fruit 1 2021-03-02 apple 2 2021-02-01 orange I wrote the …