I have the following two dataframes (samples). I’d like to know which companies had their sales changed between the two dataframes. For example, AAPL is different in the second dataframe. Answer This you can using ne (not equal)
Tag: pandas
pandas subtracting value in another column from previous row
I have a dataframe (named df) sorted by identifier, id_number and contract_year_month in order like this so far: and would like to add a column named ‘date_difference’ that is consisted of contract_year_month minus collection_year_month from previous row based on identifier and id_number (e.g. 201…
Less Frequent Words appearing bigger – WordCloud in Python
I have been plotting the wordcloud using the wordcloud package from Python. Here’s a sample of the code: Now, what I understood from the official documentation of Wordcloud is that, most frequent non-stop words appear to be bigger, but here chirping is appearing than Bengal. But then when I check out th…
How to encrypt and decrypt pandas dataframe with decryption key?
I have a df with 300 columns but there is one column ID that I want to encrypt and allow anyone else with a key to decrypt if I give them the df as a csv. Is this possible? I know how to hash a column, but as far as I have read I can not unhash it or give
Python Web Scraper : My script is just printing the first one, instead of all?
Im making a python web scraper for a project, Its getting all info that I want, but the only problem is that he does it for the first profile without getting others I tried to found out the problem but I`m stuck, any kind of advice will be helpful Answer Here is your code with a couple of adjustments:
How to display percentage above grouped bar chart
The following are the pandas dataframe and the bar chart generated from it: I need to display the percentages of each interest category for the respective subject above their corresponding bar. I can create a list with the percentages, but I don’t understand how to add it on top of the corresponding bar…
Cannot convert the series to [closed]
Closed. This question does not meet Stack Overflow guidelines. It is not currently accepting answers. This question does not appear to be about programming within the scope defined in the help center. Closed last year. The community reviewed whether to reopen this question 8 months ago and left it closed: Ori…
Pandas: add column with progressive count of elements meeting a condition
Given the following dataframe df: I want to add another column that counts, progressively, the elements with df[‘B’]=’yes’: How can I do this? Answer You can use numpy.where with cumsum of boolean mask: Another solution is count boolean mask created by filtering and then add 0 values b…
Alternative to the pandas negation operator
I’m trying to use the pandas negation operator ~ in one of my jinja2 templates but I believe its conflicting with their special operator ~. yields the following exception… I could do the operation on the python side and pass another variable with the negated selection but what’s the method n…
return last date and value each month in pandas
I have a df in pandas with daily data. I would like to return the last value of each month. I thought the simple solution would be to .resample(“M”).apply(lambda ser: ser.iloc[-1,]) however, it seems as if resample actually computes the month end date rather than return the actual date that appear…