Create Pandas DataFrame from a string
In order to test some functionality I would like to create a DataFrame from a string. Let’s say my test data looks like:
pandas
Pandas Dataframe line plot display date on xaxis
Compare the following code:
Python pandas insert list into a cell
I have a list ‘abc’ and a dataframe ‘df’:
Remove duplicates by columns A, keeping the row with the highest value in column B
I have a dataframe with repeat values in column A. I want to drop duplicates, keeping the row with the highest value in column B.
Convert Excel style date with pandas
I have to parse an xml file which gives me datetimes in Excel style; for example: 42580.3333333333.
Convert number strings with commas in pandas DataFrame to float
I have a DataFrame that contains numbers as strings with commas for the thousands marker. I need to convert them to floats.
Get rows based on distinct values from one column
How can I get the rows by distinct values in COL2?
Pandas: Drop consecutive duplicates
What’s the most efficient way to drop only consecutive duplicates in pandas?
pandas: How do I split text in a column into multiple rows?
I’m working with a large csv file and the next to last column has a string of text that I want to split by a specific delimiter. I was wondering if there is a simple way to do this using pandas or python?
Efficient way to unnest (explode) multiple list columns in a pandas DataFrame
I am reading multiple JSON objects into one DataFrame. The problem is that some of the columns are lists. Also, the data is very big and because of that I cannot use the available solutions on the internet. They are very slow and memory-inefficient