Normed_df.to_csv('long.csv', index=False) Normed_df = normed_df.reset_index(drop=True) Normed_df.ts = pd.to_datetime(normed_df.ts, unit='ms') Normed_df = normed_df.append(normed) # append to normed_df Normed = col # add the original column name as a new column so the associated values can be identified Normed = pd.DataFrame(df.values.tolist()) # normalize the column from df # iterate through each column, normalize it, and append it to normed_df # create a new dataframe for the normalized columns from df As per the timing analysis for this question, pd.DataFrame(df.values.tolist()) is the fastest way to normalize a single level dict from a column, but this answer shows how to deal with columns that are problematic (e.g. Django API Post method returns 403 error.Django 1.3 passing parameters to filter of class-based generic list view in url.py.How to add existing files to project using Eclipse and PyDev.Django model query for the closest integer match.Django Rest Framework to return dicts instead of OrderedDicts.How to rename (exposed in API) filter field name using django-filters?.Isn't django now() supposed to be in the default time zone?.Django, Detecting if variable is a number.How to use python to schedule tasks in a Django application.How do I change NA in df$x when df$y = 1.How to filter in rows where any column is null in pyspark dataframe.Collapse two data frames into one where entries get concatenated.How can I disable partial column name matching in an R ame?.How do I split the value of a column based on a lookup table?.How to create a new variable and assign it a value corresponding to another variable in R?.
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