Problem I have a pandas DataFrame df: My desired output, i.e. new_df, contains the 9 different percentiles including the median, and should have the following format: Attempt The following was my initial attempt: However, instead of returning the percentiles of all columns, it calculated these percentiles for each val column and therefore returned 1000 columns. As it calculated the percentiles
Tag: percentile
AttributeError: ‘module’ object has no attribute ‘percentile’
I use this function to calculate percentile from here: But I get this error : I also tried but it didn’t I got the same error. my numpy version is 1.3.0 I tried to upgrade but it seems like it won’t I used : [sudo pip install –upgrade scipy][2] but I found that there’s no upgrade. my ubuntu version 9.10
How do I calculate percentiles with python/numpy?
Is there a convenient way to calculate percentiles for a sequence or single-dimensional numpy array? I am looking for something similar to Excel’s percentile function. I looked in NumPy’s statistics reference, and couldn’t find this. All I could find is the median (50th percentile), but not something more specific. Answer You might be interested in the SciPy Stats package. It