Category "series"

How can I group elements in pandas series based on how many times they repeat?

I have this example_series: 0 False 1 False 2 False 3 False 4 False 5 False 6 False 7 False 8 False 9 False 10 False

Variable not becoming a series of values. Why?

I created this script to detect Swing Highs and Lows and then to determine the High and Low values of these Swings. The code works for the last bar, but I wou

rename certain value in pandas series

I have the following panda Series: print(df.head()) Country Energy Supply Energy Supply per Capita % Renewable 0 Afghanistan 3.210000e+08

How to store High or Low values (trading)

I would like to develop a code which add a Series to my DataFrame; the Series should store the lowest value of the Close until a new low is reached. When a new

'Series' object has no attribute 'values_counts'

When I try to apply the values_count() method to series within a function, I am told that 'Series' object has no attribute 'values_counts'. def replace_1_occ_f

What is the difference between `pandas.Series.ravel()`, `pandas.Series.to_numpy()`, `pandas.Series.values` and `pandas.Series.array`?

Basically the title sums it up. I have created a dummy pandas.Series object and looked up all these properties and methods. Documentation states that all of the

suppress Name dtype from python pandas describe

Lets say I have r = pd.DataFrame({'A':1 , 'B':pd.Series(1,index=list(range(4)),dtype='float32')}) And r['B'].describe()[['mean','std','min','m