I have two data_frames, as below: The task is to create a data_frame(below one), where I need to add df_marks[‘Int1/40’] & df_marks[‘Int2/40’], if df_name[‘Student_ID’] == df_marks[‘Student_ID’] I tried But its giving error as, Do we have any simple way to d…
Tag: pandas
Have only 1 record per date in a pandas dataframe
Background: In mplfinance, I want to be able to plot multiple trade markers in the same bar. Currently to my understanding you can add only 1 (or 1 buy and 1 sell) to the same bar. I cannot have 2 more trades on the same side in the same bar unless I create another series. Here is an example: df
How to check the folder for file and then read the file in python
I need to read a csv from a folder location, but there is catch in it. It could also happen my other module which writes the csv into that folder fails and unable to export the file, so basically i have to check the folder that if a csv file called “test.csv” exist or not in that folder, if it
Pandas DataFrame: Fill NA values based on group mean
I would like to update the NA values of a Pandas DataFrame column with the values in a groupby object. Let’s illustrate with an example: We have the following DataFrame columns: We’re simply measuring temperature multiple times a day for many months. Now, let’s assume that for some of our re…
Smoothing Categorical Output
I have a list of outputs obtained from a cow behavior detection model. Even in a video when a cow is laying, often time it identifies as standing and vice versa. In each video frame, a classification result is given by the model and we are appending it into a list. Let’s assume after 20 frames, we have …
Group by in pandas for criteria on one column and getting records for other columns as-is
So my dataframe looks something like this – I want to group by ORD_ID. And grab the record which is last in TIME for that ORD_ID (without performing any aggregate function on other columns). i.e. the desired output is – How can this be achieved? (so only the last record in TIME as per each unique …
Is there a function to search a value in a pandas cell list, and return the rows if the value is solitary or the only type?
I have the follow dataframe: I’m trying to return an output that would tell me all of the tasks & IDs where ‘Coolant’ is in the ‘Type’. But, only the tasks & IDs where coolant isn’t mixed with any other type. I think my expected output would be a dataframe like this…
What is the difference between str(Series).split() and Series.str.split()?
I wanted to know conceptually why there is difference in output using str(Series).split() and Series.str.split(), when using it on the series object. I was looking to split the date based on the punctuation: the str(Series).split() didn’t give me the desired output while the other method, using Series.s…
Can’t append to an existing table. Fails silently
I’m trying to dump a pandas DataFrame into an existing Snowflake table (via a jupyter notebook). When I run the code below no errors are raised, but no data is written to the destination SF table (df has ~800 rows). If I check the SF History, I can see that the queries apparently ran without issue: If I…
How to rename files from old to new from csv file using python?
I have a CSV file which has two columns: I have more than a thousand pictures which I need to rename using this method. Can this be done using python? Thanks a lot. Answer You can use zip to iterate over pairs of corresponding items: As you are batch processing a large number of files, it might also be worth