I would like to read several csv files from a directory into pandas and concatenate them into one big DataFrame. I have not been able to figure it out though. Here is what I have so far:
I have the following indexed DataFrame with named columns and rows not- continuous numbers:
I am using this data frame:
I have two pandas dataframes:
When deleting a column in a DataFrame I use:
2018-09-18_reproducible_dataframe.ipynb This question was previously marked as a duplicate of How to make good reproducible pandas examples. Go to that question if you need to make synthetic (fake) data to share. The other question and associated answers cover how to create a reproducible dataframe. They do not cover how to copy an existing dataframe with … Read more
I have two DataFrames which I want to merge based on a column. However, due to alternate spellings, different number of spaces, absence/presence of diacritical marks, I would like to be able to merge as long as they are similar to one another.
I am creating a DataFrame from a csv as follows:
I have a data frame column with numeric values: