I have a df with growth variables and often some initial values are 0, in which case it produces infinite values when the value moves from zero to non-zeros.
I have a dataframe that contains 1 years of weekly OHLC data.
What do I need ?
I am seeking to populate a pandas dataframe row-by-row, whereby each new row is calculated on the basis of the contents of the previous row. I am using this for simple financial projections.
I have an pandas dataframe like this:
Code import pandas as pd import numpy as np df = pd.DataFrame({"K1":[1,2,3],"K2":[4,5,6]}) df["result"] = (df["K1"].shift(1)*df["K2"]).fillna(1)[::-1] #line A print(df["result"]) print((df["K1"].shift(1)*df["K2"]).fillna(1)[::-1]) #line B print((df["K1"].shift(1)*df["K2"]).fillna(1)) # line C Output 0 1.0 1 5.0 2 12.0 Name: result, dtype: float64 2 12.0 1 5.0 0 1.0 dtype: float64 0 1.0 1 5.0 2 12.0 dtype: float64 Why column result … Read more
I have a 20*5 data table and I want to find the mean value of one of the columns which is the price column. I know I have to use this method for finding the mean value
I’m a beginner in Pandas. I have a data file containing 10000 different information of users. This data contain 5 columns and 10000 rows. One of these columns is the district of the users and it divides users according to their living place(It defines just 7 different locations and in each of locations some number of users live). as an example, out of this 10000 users, 300 users live in USA and 250 Live in Canada and..
I want to define a DataFrame which includes five random rows of users with the distinct of: USA,Canada,LA,NY and Japan. Also, the dimensions needs to be 20*5. Can you please help me how to do that?
I know for choosing random I need to use
In the below dataframe the column “CumRetperTrade” is a column which consists of a few vertical vectors (=sequences of numbers) separated by zeros. (= these vectors correspond to non-zero elements of column “Portfolio”). I would like to find the cumulative local maxima of every non-zero vector contained in column “CumRetperTrade”.
To be precise, I would like to transform (using vectorization – or other – methods) column “CumRetperTrade” to the column “PeakCumRet” (desired result) which gives for every vector ( = subset corresponding to ’Portfolio =1 ’) contained in column “CumRetperTrade” the cumulative maximum value of (all its previous) values. The numeric example is below. Thanks in advance!
PS In other words, I guess that we need to use cummax() but to apply it only to the consequent (where ‘Portfolio’ = 1) subsets of ‘CumRetperTrade’
I wanna remove all columns whose have 0 in one of their rows: