Created
April 1, 2019 04:07
-
-
Save tsengchan/62d8cde32ec5bf12a597538b9ba5ed5e to your computer and use it in GitHub Desktop.
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
import pandas as pd | |
import numpy as np | |
#df2 = pd.DataFrame() | |
#columns = ['A','B', 'C','D','E','F','G'] | |
df1_K = pd.read_table('jasonproblem.txt', names=('A','B', 'C','D','E','F','G')) | |
df1_inexact = df1_K.dropna(subset=['G']) ### keep only G that's inexact solution ie noNAN | |
df1_exact = df1_K.loc[df1_K['G'].isna()] #only exact solution | |
df1_exact_pos = df1_exact.loc[df1_exact['A'] == '+'] #positive, exact solution | |
df1_exact_neg = df1_exact.loc[df1_exact['A'] == '-'] #negative, exact solution | |
df1_inexact_pos = df1_inexact.loc[df1_inexact['A'] == '+'] #positive, inexact | |
df1_inexact_neg = df1_inexact.loc[df1_inexact['A'] == '-'] #negative, inexact |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment