Pivot Tables or Group By for Pandas?
I have a hopefully straightforward question that has been giving me a lot of difficulty for the last 3 hours. It should be easy.
pandas
pandas unique values multiple columns
df = pd.DataFrame({'Col1': ['Bob', 'Joe', 'Bill', 'Mary', 'Joe'], 'Col2': ['Joe', 'Steve', 'Bob', 'Bob', 'Steve'], 'Col3': np.random.random(5)}) What is the best way to return the unique values of ‘Col1’ and ‘Col2’? The desired output is 'Bob', 'Joe', 'Bill', 'Mary', 'Steve' Answers: Thank you for visiting the Q&A section on Magenaut. Please note that all the answers … Read more
Normalize data in pandas
Suppose I have a pandas data frame df:
Pandas number rows within group in increasing order
Given the following data frame:
Strip / trim all strings of a dataframe
Cleaning the values of a multitype data frame in python/pandas, I want to trim the strings. I am currently doing it in two instructions :
pandas – filter dataframe by another dataframe by row elements
I have a dataframe df1 which looks like:
How to upsert pandas DataFrame to Microsoft SQL Server table?
I would like to upsert my pandas DataFrame into a SQL Server table. This question has a workable solution for PostgreSQL, but T-SQL does not have an ON CONFLICT variant of INSERT. How can I accomplish the same thing for SQL Server?
pandas read_csv and filter columns with usecols
I have a csv file which isn’t coming in correctly with pandas.read_csv when I filter the columns with usecols and use multiple indexes.
Matplotlib DateFormatter for axis label not working
I’m trying to adjust the formatting of the date tick labels of the x-axis so that it only shows the Year and Month values. From what I’ve found online, I have to use mdates.DateFormatter, but it’s not taking effect at all with my current code as is. Anyone see where the issue is? (the dates are the index of the pandas Dataframe)
Export Pandas DataFrame into a PDF file using Python
What is an efficient way to generate PDF for data frames in Pandas?