How can I fix my error in Python.

Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
Problem 1PE
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How can I fix my error in Python. 

AttributeError
Input In [32], in <cell line: 22>()
Traceback (most recent call last)
19 nf frap_h= df_nf[['FRAP-H20']]
21 fig, ax = plt.subplots(3, 2, figsize=(24, 24))
---> 22 ax[0,0].draw_confidence_ellipse(f_tpc_h,
0)
23 ax[1,0].draw_confidence_ellipse(f_tpc_h,
24 ax[2,0].draw_confidence_ellipse(f_frap_h,
50,50)
f_teac_h, nf_tpc_h, nf_teac_h, 2,"TPC", "TEAC", "TPC-H20 vs TEAC-H20", 50,5
f_frap_h, nf_tpc_h, nf_frap_h, 2, "TPC", "FRAP", "TPC-H20 vs FRAP-H20", 50,5
f_teac_h, nf_frap_h, nf_teac_h, 2, "FRAP", "TEAC", "FRAP-H20 vs TEAC-H20",
AttributeError: 'AxesSubplot' object has no attribute 'draw_confidence_ellipse'
Transcribed Image Text:AttributeError Input In [32], in <cell line: 22>() Traceback (most recent call last) 19 nf frap_h= df_nf[['FRAP-H20']] 21 fig, ax = plt.subplots(3, 2, figsize=(24, 24)) ---> 22 ax[0,0].draw_confidence_ellipse(f_tpc_h, 0) 23 ax[1,0].draw_confidence_ellipse(f_tpc_h, 24 ax[2,0].draw_confidence_ellipse(f_frap_h, 50,50) f_teac_h, nf_tpc_h, nf_teac_h, 2,"TPC", "TEAC", "TPC-H20 vs TEAC-H20", 50,5 f_frap_h, nf_tpc_h, nf_frap_h, 2, "TPC", "FRAP", "TPC-H20 vs FRAP-H20", 50,5 f_teac_h, nf_frap_h, nf_teac_h, 2, "FRAP", "TEAC", "FRAP-H20 vs TEAC-H20", AttributeError: 'AxesSubplot' object has no attribute 'draw_confidence_ellipse'
# Answer to Exercise 4 here
import matplotlib.pyplot as plt
import numpy as np # 'np' is the prefix that will identify nump packages
from source.ellipses import confidence_ellipse # for representing the correlation (for def draw_confidence_ellipse2(xf, yf, x
f_tpc_m= df_fer[['TPC-MEOH']]
f_teac_m= df_fer[['TEAC-MEOH']]
f_frap_m= df_fer[['FRAP-MEOH']]
f_tpc_h = df_fer[['TPC-H20']]
f_teac_h = df_fer[['TEAC-H20']]
f_frap_h= df_fer[['FRAP-H20']]
nf_tpc_m= df_nf [[ TPC-MEOH']]
nf_teac_m= df_nf[['TEAC-MEOH']]
nf_frap_m= df_nf[['FRAP-MEOH']]
nf_tpc_h= df_nf[['TPC-H20']]
nf_teac_h= df_nf[['TEAC-H20']]
nf_frap_h= df_nf[['FRAP-H20']]
fig, ax = plt.subplots (3, 2, figsize=(24, 24))
ax[0,0].draw_confidence_ellipse(f_tpc_h, f_teac_h, nf_tpc_h, nf_teac_h, 2, "TPC", "TEAC", "TPC-H20 vs TEAC-H20", 50, 50)
ax[1,0].draw_confidence_ellipse(f_tpc_h,
ax[2,0].draw_confidence_ellipse(f_frap_h,
f_frap_h, nf_tpc_h, nf_frap_h, 2, "TPC", "FRAP", "TPC-H20 vs FRAP-H20",50,50)
f_teac_h, nf_frap_h, nf_teac_h, 2, "FRAP", "TEAC", "FRAP-H20 vs TEAC-H20", 50, 50)
ax[0,1].draw_confidence_ellipse(f_tpc_m,
ax[1,1].draw_confidence_ellipse(f_tpc_m,
ax[2,1].draw_confidence_ellipse(f_frap_m,
f_teac_m, nf_tpc_m, nf_teac_m, 2,"TPC", "TEAC", "TPC-MEOH vs TEAC-MEOH", 50,50)
f_frap_m, nf_tpc_m, nf_frap_m, 2,"TPC", "FRAP", "TPC-MEOH vs FRAP-MEOH", 50,50)
f_teac_m, nf_frap_m, nf_teac_m, 2, "FRAP", "TEAC", "FRAP-MEOH vs TEAC-MEOH",50,50)
Transcribed Image Text:# Answer to Exercise 4 here import matplotlib.pyplot as plt import numpy as np # 'np' is the prefix that will identify nump packages from source.ellipses import confidence_ellipse # for representing the correlation (for def draw_confidence_ellipse2(xf, yf, x f_tpc_m= df_fer[['TPC-MEOH']] f_teac_m= df_fer[['TEAC-MEOH']] f_frap_m= df_fer[['FRAP-MEOH']] f_tpc_h = df_fer[['TPC-H20']] f_teac_h = df_fer[['TEAC-H20']] f_frap_h= df_fer[['FRAP-H20']] nf_tpc_m= df_nf [[ TPC-MEOH']] nf_teac_m= df_nf[['TEAC-MEOH']] nf_frap_m= df_nf[['FRAP-MEOH']] nf_tpc_h= df_nf[['TPC-H20']] nf_teac_h= df_nf[['TEAC-H20']] nf_frap_h= df_nf[['FRAP-H20']] fig, ax = plt.subplots (3, 2, figsize=(24, 24)) ax[0,0].draw_confidence_ellipse(f_tpc_h, f_teac_h, nf_tpc_h, nf_teac_h, 2, "TPC", "TEAC", "TPC-H20 vs TEAC-H20", 50, 50) ax[1,0].draw_confidence_ellipse(f_tpc_h, ax[2,0].draw_confidence_ellipse(f_frap_h, f_frap_h, nf_tpc_h, nf_frap_h, 2, "TPC", "FRAP", "TPC-H20 vs FRAP-H20",50,50) f_teac_h, nf_frap_h, nf_teac_h, 2, "FRAP", "TEAC", "FRAP-H20 vs TEAC-H20", 50, 50) ax[0,1].draw_confidence_ellipse(f_tpc_m, ax[1,1].draw_confidence_ellipse(f_tpc_m, ax[2,1].draw_confidence_ellipse(f_frap_m, f_teac_m, nf_tpc_m, nf_teac_m, 2,"TPC", "TEAC", "TPC-MEOH vs TEAC-MEOH", 50,50) f_frap_m, nf_tpc_m, nf_frap_m, 2,"TPC", "FRAP", "TPC-MEOH vs FRAP-MEOH", 50,50) f_teac_m, nf_frap_m, nf_teac_m, 2, "FRAP", "TEAC", "FRAP-MEOH vs TEAC-MEOH",50,50)
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