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Tag: pandas

Pandas sort_values does not sort numbers correctly

I’m new to pandas and working with tabular data in a programming environment. I have sorted a dataframe by a specific column but the answer that panda spits out is not exactly correct. Here is the code I have used: The result that the sort method yields values in column ‘overall league position&#8…

Sequentially counting repeated entries

I am currently working on a project where I have to measure someones activity over time on a site, based on whether they edit a site. I have a data frame that looks similar to this: I want to add a column to the dataframe such that it counts the number of repeated values (number of edits, which is column

Save Pandas df containing long list as csv file

I am trying to save a pandas dataframe as .csv file. Currently my code looks like this: The saving works but the problem is that the lists in my dataframe are just compressed to [first,second,…,last] and all the entries in the middle are discarded. If I just look at the original dataframe all entries ar…

Building a function to read CSV

I am new to Python and building a function to read CSV. I am trying to use the pandas.read_csv() inside my function,and while the code gets compiled-i dont see the dataset (I know its an overkill, but am trying to learn it using a trial and error method). I expect that when i run CSV(‘abc.csv’), i…

How to reverse a dummy variables from a pandas dataframe

I would like to reverse a dataframe with dummy variables. For example, from df_input: To df_output I have been looking at the solution provided at Reconstruct a categorical variable from dummies in pandas but it did not work. Please, Any help would be much appreciated. Many Thanks, Best Regards, Carlo Answer …

Pandas.plot Multiple plot same figure

I have multiple CSV files that I am trying to plot in same the figure to have a comparison between them. I already read some information about pandas problem not keeping memory plot and creating the new one every time. People were talking about using an ax var, but I do not understand it… For now I have…

Pandas: ValueError: cannot convert float NaN to integer

I get ValueError: cannot convert float NaN to integer for following: The “x” is a column in the csv file, I cannot spot any float NaN in the file, and I don’t understand the error or why I am getting it. When I read the column as String, then it has values like -1,0,1,…2000, all look v…