In my experiences, creating a data frame of the necessary size filled with NaNs, and then filling up with values is much-much slower than creating a data frame with index x 0 dimensions …

If you are using SQLAlchemy's ORM rather than the expression language, you might find yourself wanting to convert an object of type sqlalchemy.orm.query.Query to a Pandas data frame. The …

Aug 4, 2017 · I want to create a python pandas DataFrame with a single row, to use further pandas functionality like dumping to *.csv. I have seen code like the following being used, but I …

Mar 24, 2014 · A traditional variable-width CSV is unreadable for storing data as a string variable. Especially for use inside a .py file, consider fixed-width pipe-separated data instead.

How do I take multiple lists and put them as different columns in a python dataframe? I tried this solution but had some trouble. Attempt 1: Have three lists, and zip them together and use that …

Jun 13, 2017 · You can create an empty DataFrame with either column names or an Index: In [4]: import pandas as pd In [5]: df = pd.DataFrame(columns=['A','B','C','D','E','F','G ...

Jun 4, 2015 · Create a data frame dictionary to store your data frames companydict = {elem : pd.DataFrame() for elem in compuniquenames} The above two are already in the post: for key …

Nov 5, 2013 · In the dataframe, data, there is a variable called 'name', which is the unique code for each participant. I have tried the following, but nothing happens (or execution does not stop …

There is a way of doing this and it actually looks similar to R new = old[['A', 'C', 'D']].copy() Here you are just selecting the columns you want from the original data frame and creating a …

Jun 23, 2018 · Using dict + groupby you can create a dictionary of dataframes. This solution does not require you to manually specify all unique types and is more easily extendable than a …