I have a dataframe signifying the temperature for three days for different regions in India. It’s given in the following image. original_dataframe I need to generate another column in the same dataframe that concatenates the string values of the state and the city which is seen in ‘Col5’ as …
Tag: dataframe
python – find duplicates in a column, replace values in another column for that duplicate
I have a dataframe that consists of of video game titles on various platforms. it contains, among other values the name, critic’s average score and user’s average score. Many of them are missing scores for the user, critic and/or ESRB rating. What i’d like to do is replace the missing rating…
Color in cell containing a string Pandas
i am trying to change the background color in my dataframe if a column contains a certain string however i cant seem to get it to work. I have the following code so far: but it doesn’t seem to do anything to the cells. Is there anything i am doing wrong? Code: Answer You can use custom function for crea…
How to concatenate dataframes without overwriting column values
I am trying to create a list of DataFrames in a for loop, and then concatenate them outside of the for loop and write to excel. I have gotten the code to be close, but for some reason the column created inside the for loop ends up being the final value rather each individual value as it loops through. I
Pandas Cumcount() over multiple columns
I have a dataframe that looks like this: What I want to do is to add two columns, one for set number and one for rep number. Set number should increase by 1 for each weight change exercise & session is the same, else reset to 0. Rep number should increase by 1 for each velocity change if exercise, session
Minimum value for each row in pandas dataframe
im trying to compute the minimum for each row in a pandas dataframe. I would like to add a column that calculates the minimum values and ignores “NaN” and “WD” For example should give me a new column like I tried df.where(df > 0).min(axis=1) and df.where(df != “NaN”).min…
Why does a string cause entire pandas DataFrame to be non-numerical?
If I create a pandas DataFrame using numerical values, this is reflected in the DataFrame. However, if the first element is a string, i.e. ‘a’, the entire DataFrame goes grey and all numbers in it are converted to strings, i.e. 3 becomes ‘3’. Why and how to retain datatype diversity? T…
How to get a specific value from a pivot table – python
How do I get a specific value from a pivot table? I need to store “imdb_score” as a int in a variable. how can I do this? this is the the contents of the table: Answer set the index to the unique column you have in dataframe which you want to use to filter.
How can you get rolling value count (frequency) with Pandas? (computationally efficient, no loops)
I have a list of values and I want to get their rolling frequency, so something like this: Of course I can do this with a loop but with a lot of data it can be computationally expensive so I’d much rather use a built-in or something vectorized, etc. But unfortunately, from my searching, there doesn̵…
How to drop entire group in pandas if any other columns meet certain criteria?
I have a df that looks like this: Currently, I am using this line of code to filter on the df so that only rows that are of a period PRE and have an amount of more than 10 are included: What I realized though is that I actually need to remove the entire grouping from the df if even