I have written the below which doesnt seem to be working. I am defining dataframe as d3, to be a columnn with 20 rows with the comment “my comment”. I am then trying to add that into an existing saved down excel doc in cell L2. The dataframe is printing and looks right in the IDE, but just doesnt …
Tag: pandas
Most efficient way to place a Pandas data frame into a list of dictionaries with a certain format
I have a Pandas data frame that contains one column and an index of timestamps. The code for the data frame looks something like this: I want to create a list of dictionaries from the rows of df in a certain way. For each row of the data frame, I want to create a dictionary with the keys “Timestamp̶…
Conditional lambda in pandas returns ValueError
In a df comprised of the columns asset_id, event_start_date, event_end_date, I wish to add a forth column datediff that for each asset_id will capture how many days passed between a end_date and the following start_date for the same asset_id, but in case that following start_date is earlier than the current e…
How to turn a Pandas DataFrame into a table of vectors
I have a two columns Pandas data frame containing a list of user_ids and some URLs they have visited. It looks like this: I want to create a vector representation of itself, like this: I’ve tried different things, but keep hitting a wall. Any ideas? Answer What you’re describing is a pivot of the …
Pandas: groupby followed by aggregate – unexpected behaviour when joining strings
Having a pandas data frame containing two columns of type str: which is created as follows: df = pd.DataFrame({“group”:[1,2,2,1],”sc”:[“A”,”B”,”C”,”D”],”wc”:[“word1”, “word2”, “word3″,”…
Rename column containing substring – Pandas
I need to rename columns in containing specific substring. In my case I am using data with columns that are named a specific date dd/mm/yyyy. I want to rename the column based on the yyyy of the column name (eg. 30/06/2020 rename FY1920). Approach I have tried is as follows: also tried: I am sure there is an …
Handling duplicate values in pandas
I have a dataframe ,that looks like this i don’t want to drop the duplicate items, but i want to change the Active columns value based on Site column,for example Active has to change inactive based on duplicate item in site column,Inactive also have to change based on number of duplicate items present,l…
Reshaping a 3D array to a 2D array to produce a DataFrame: keep track of indices to produce column names
The following code generates a pandas.DataFrame from a 3D array over the first axis. I manually create the columns names (defining cols): is there a more built-in way to do this (to avoid potential errors e.g. regarding C-order)? –> I am looking for a way to guarantee the respect of the order of the …
Reshape Pandas DatafRames by binary columns value
Can’t figure out how to reshape my DataFrame into new one by several binary columns value. Input: I want to reshape by binary values, i.e. column a/b/c, if their value == 1, I need every time new column with all data. Expected output: Stucked here from the morning, will appreciate help very much ! Answe…
difference between count_value(0) vs count_value(1) in pandas [closed]
Closed. This question needs details or clarity. It is not currently accepting answers. Want to improve this question? Add details and clarify the problem by editing this post. Closed 2 years ago. Improve this question Request: data[‘Churn’].value_counts(0) Output: 0 7963 1 2037 Request: data[̵…