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- from re import A
- import pandas as pd
- import numpy as np
- from pandas.core.frame import DataFrame
- from scipy import interpolate
- import matplotlib.pyplot as plt
- import bisect
- import datetime,time
- import operator
- from six import b
- import skfuzzy as fuzz
- import skfuzzy.control as ctrl
- import os
- from scipy.interpolate import interp2d
- from apscheduler.schedulers.blocking import BlockingScheduler
- from LIB.MIDDLE.CellStateEstimation.Common import BatParam
-
- column_name=['time', 'sn', 'short_current']
- df_res=pd.DataFrame(columns=column_name)
- df_res.loc[1]=[1,1.5,1]
- df_res.loc[2]=[1,-2.5,2]
- df_res.loc[3]=[-1,3.5,3]
- df_res.loc[4]=[3,-4.5,4]
- df_res.reset_index(inplace=True,drop=True)
- df_res=df_res[(df_res[['time','sn']]>0) & (df_res[['time','sn']]<3)]
- print(df_res)
-
-
-
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