I am trying to concat multiple CSVs that live in subfolders of my parent directory into a data frame, while also adding a new filename column. I can do something like this to concat all the CSVs into a single data frame But is there a way to also add the filename of each file as a column to the
Tag: concatenation
Concatenate text file lines with condition in python
I have a text file in this format: I want to check if the image name is the same and then concatenate those lines into one line with the following format: I have tried something like this but don’t know how to do the actual comparison and also don’t quite know what logic to apply since the first line_elements[0] will
How to concatenate strings in python?
I am doing automation in python for jira with the addition of jql search inside the service As a result: two JQL queries, one to search for “closed tickets” and the second to search for “created tickets” But as a result, I can’t add rows now. Expected Result: I got two lists inside with tuples. enter image description here enter
append or concat a row to a pandas df without collapsing multiindex
I’m trying to add a sum total to an already existing pandas dataframe. The problem is that when I do this my multiindices become just normal indices. How can I prevent that? neither this nor this works Maybe there is also an easier way to add a sum? Answer You’re not really creating a MultiIndex dataframe with column_total. You need
Concatenate two columns excepting strings from a list_pandas
I concatenate two columns for the situation where strings from column ‘words’ are not present in the column ‘sentence’. My code is: Additionally, I want to restrict the concatenation per row if, in column ‘words’ I have strings present in this list: Here is an example of how the result should look like Output given by the code above is:
Which way is better to concatenate strings in python? [closed]
Closed. This question is opinion-based. It is not currently accepting answers. Want to improve this question? Update the question so it can be answered with facts and citations by editing this post. Closed 7 months ago. Improve this question Which way is better in this case and why? emails.append(user + “@” + domain) emails.append(“{}@{}”.format(user, domain)) Answer In my honest opinion,
I want to add date range where value is True in pandas
Dt 1/2/21 2/2/21 3/2/21 4/2/21 5/2/21 6/2/21 7/2/21 Attendance(Expected output in python) san TRUE TRUE TRUE TRUE TRUE TRUE TRUE 1/2/21 – 7/2/21 don TRUE TRUE FALSE TRUE TRUE TRUE TRUE 1/2/21 -2/2/21,4/2/21-7/2/21 sam FALSE TRUE TRUE FALSE TRUE TRUE TRUE 2/2/21 – 3/2/21,5/2/21-7/2/21 den FALSE FALSE TRUE FALSE TRUE TRUE FALSE 3/2/21,5/2/21 – 6/2/21 I want to add Attendance
How can I combine different dataframes into one csv in Python?
I have 2 dataframes with different columns. And I want to combine those into 1 csv file. Both headers should be included and there shouldn’t be empty value if columns aren’t matched. I tried to use pd.concat, but I need the result to be like below: Answer You can do this using Pandas to_csv and setting the mode parameter to
Using recursion to concatenate two strings
My goal is to concatenate two strings using recursion. The input would be str1 = (“long string”) str2 = (“yes so long”) and the output would be: ‘lyoensg ssto rlionngg’ Assumptions are that both strings are the same length. My code as of now is: Im sure Im no where close but I am struggling with making it loop. I
Python: Concat dataframes where one of them is empty
I have the following dataframes: where df1 represents deposits and df2 represents withdrawals. I want to concat them to get I am calling an API that fetches withdrawals and deposits. So far, no withdrawals have been made but I want to display that as shown in “df” whenever the code is executed. Any suggestions on how to do that without