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just find the intersections of those two data and impose the conditions greater than and less than and find their indexes and plot it. ndf = pd.read_csv('Nifty50.csv') ndf.Date = pd.to_datetime(ndf['...
Since you just want to get a sense of distribution, Just scale the df["No. of Trades"] to the range [0, 1] and scale it up by max of df["Day_Perc_Change"]. import pandas as pd import numpy as np ...
Activation functions are just used to squeeze (not numpy's) the output of a layer and cost functions are a way to measure the magnitude discrepancy between predicted output and the original output of ...