pandas or python equivalent of tidyr complete
I have data that looks like this:
pandas
Drop columns whose name contains a specific string from pandas DataFrame
I have a pandas dataframe with the following column names:
Executing an SQL query over a pandas dataset
I have a pandas data set, called ‘df’.
Format certain floating dataframe columns into percentage in pandas
I am trying to write a paper in IPython notebook, but encountered some issues with display format. Say I have following dataframe df, is there any way to format var1 and var2 into 2 digit decimals and var3 into percentages.
Python Pandas: How to read only first n rows of CSV files in?
I have a very large data set and I can’t afford to read the entire data set in. So, I’m thinking of reading only one chunk of it to train but I have no idea how to do it. Any thought will be appreciated.
Pandas unstack problems: ValueError: Index contains duplicate entries, cannot reshape
I am trying to unstack a multi-index with pandas and I am keep getting:
pandas.io.json.json_normalize with very nested json
I have been trying to normalize a very nested json file I will later analyze. What I am struggling with is how to go more than one level deep to normalize.
Shift column in pandas dataframe up by one?
I’ve got a pandas dataframe. I want to ‘lag’ one of my columns. Meaning, for example, shifting the entire column ‘gdp’ up by one, and then removing all the excess data at the bottom of the remaining rows so that all columns are of equal length again.
Matplotlib showing x-tick labels overlapping
Have a look at the graph below:
Adding calculated column(s) to a dataframe in pandas
I have an OHLC price data set, that I have parsed from CSV into a Pandas dataframe and resampled to 15 min bars: