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
Related questions
Question
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'](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F892e817a-9b32-4eeb-b8fc-5dd7ffde6479%2F30177e2f-ddf9-4702-ac62-47ce7575e698%2Fi9scnc9_processed.png&w=3840&q=75)
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)](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F892e817a-9b32-4eeb-b8fc-5dd7ffde6479%2F30177e2f-ddf9-4702-ac62-47ce7575e698%2Ful0qzz8_processed.png&w=3840&q=75)
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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