Python Numpy polyfit gets the same as Excel Linear for slope Question: By the use of below, I get the slope of a list of number. It’s referenced from the answer to this question, Finding increasing trend in Pandas. import numpy as np import pandas as pd def trendline(data, order=1): coeffs = np.polyfit(data.index.values, list(data), order) …
Plot multindex series with trend line Question: Sample data for MWE: d = [{‘Date’: Timestamp(‘2022-08-02 00:00:00’), ‘A’: ‘Unknown’}, {‘Date’: Timestamp(‘2022-09-14 00:00:00’), ‘A’: ‘Unknown’}, {‘Date’: Timestamp(‘2022-01-18 00:00:00’), ‘A’: ‘Yes’}, {‘Date’: Timestamp(‘2022-01-19 00:00:00’), ‘A’: ‘Unknown’}, {‘Date’: Timestamp(‘2022-01-20 00:00:00’), ‘A’: ‘Unknown’}, {‘Date’: Timestamp(‘2022-01-21 00:00:00’), ‘A’: ‘No’}, {‘Date’: Timestamp(‘2022-01-22 00:00:00’), ‘A’: ‘No’}, {‘Date’: Timestamp(‘2022-01-23 00:00:00’), ‘A’: ‘Yes’}, {‘Date’: Timestamp(‘2022-01-24 …
