I am encountering some odd behavior in pandas, and I am hoping someone could shed some light on specifics from the df.assign(...) function in a pandas dataframe. I am getting a ValueError when trying to assign to column, despite the function being valid.

Suppose I have one CSV file with dimension m×n means m rows and n columns. I want to reduce its dimension by replacing average value of corresponding sub matrix.

Suppose I have one CSV file with dimension m×n means m rows and n columns. I want to reduce its dimension by replacing average value of corresponding sub matrix.

I have a pandas dataframe with a column.

This question already has answers here: How can I pivot a dataframe? [closed] (5 answers) Closed yesterday. I have dataframe like this: Product Colour Grade Price Size Apple Yellow A 1000 3 Apple Green B 500 4 Banana Yellow B 2000 5 Banana Green A 3000 6 I want to convert the dataframe to: Product […]

I have below the dataframe below df1:

I have 2 tables with a column in common. I want to combine both tables but the common column doesn’t have the same exact values in both tables.

I have a xlsx file that is structured in an unorthodox way. Simplified, it looks like this:

I have a pandas dataframe with a column.

I am inserting some values into a pandas.DataFrame, I have 4 columns : columns=['activityId', 'completed', 'started', 'completionRate']