Ukuchezuka okukhulu kuma-Panda kuyisihloko esithakazelisayo uma kuziwa ekuhlaziyweni kwedatha kanye nokukhohlisa kusetshenziswa i-Panda yelabhulali ye-Python edumile. Esinye sezici ezibalulekile zokuhlaziya idatha ukukhomba ukuhlukahluka ngaphakathi kwedatha, okungenziwa ngokubala ukuchezuka okukhulu. Kulesi sihloko, sizofunda ukuthi singabala kanjani ukuchezuka okukhulu kuma-Panda, sihlole izindlela ezihlukene futhi sijule eminye imitapo yolwazi nemisebenzi engasetshenziswa ukuxazulula le nkinga.
Ukuchezuka okukhulu kubhekisela kumehluko omkhulu phakathi kwevelu kudathasethi kanye nencazelo noma i-median yaleyo dathasethi. Kuzibalo, ukuchezuka kusiza ukuqonda ukusakazeka nokuhluka kwamaphoyinti edatha ngaphakathi kwedathasethi. Kungumqondo obalulekile ovame ukusetshenziswa ekuhlaziyweni kwezezimali, ekucubunguleni amasignali, nakwezinye izinkambu zobuningi.
Isixazululo Senkinga
Ukuze ubale ukuchezuka okukhulu kuma-Panda, singaqala ngokungenisa amalabhulali adingekayo futhi sakhe isampula ye-DataFrame. Khona-ke, sizobala incazelo noma i-median yedatha futhi sithole ibanga eliphakeme phakathi kwephoyinti ledatha ngalinye kanye ne-mean/median. Ekugcineni, sizosebenzisa umsebenzi we-max() ukuze sithole inani eliphakeme kakhulu phakathi kwalokhu kuchezuka okuphelele.
Nasi isibonelo sekhodi esibonisa indlela yokubala ukuchezuka okukhulu ku-Pandas DataFrame:
import pandas as pd
# Sample data
data = {'Value': [5, 7, 11, 18, 23, 25, 29, 35, 40, 50]}
df = pd.DataFrame(data)
# Compute mean and median
mean = df['Value'].mean()
median = df['Value'].median()
# Calculate absolute deviations from mean and median
df['Mean Deviation'] = (df['Value'] - mean).abs()
df['Median Deviation'] = (df['Value'] - median).abs()
# Find max deviation
max_mean_deviation = df['Mean Deviation'].max()
max_median_deviation = df['Median Deviation'].max()
print("Max Deviation from Mean: ", max_mean_deviation)
print("Max Deviation from Median: ", max_median_deviation)
Isinyathelo ngesinyathelo Incazelo
Manje ake sidlule kukhodi isinyathelo ngesinyathelo ukuqonda inqubo yokubala ukuchezuka okukhulu ku-Pandas DataFrame:
1. Okokuqala, singenisa umtapo wezincwadi we-panda futhi sakhe isampula ye-DataFrame ngekholomu eyodwa ebizwa ngokuthi 'Value'.
2. Sibe sesibala incazelo ne-median yedatha sisebenzisa i-mean() kanye nemisebenzi ye-median() ehlinzekwa ama-Panda.
3. Okulandelayo, sibala ukuchezuka okuphelele kwephoyinti ledatha ngalinye ngokukhipha incazelo nemaphakathi kumaphuzu edatha afanele, bese sithatha inani eliphelele lomehluko owumphumela.
4. Okokugcina, sisebenzisa umsebenzi we-max() ukuze sithole inani eliphezulu phakathi kokuchezuka okuphelele.
5. Okukhiphayo kuzobonisa ukuchezuka okukhulu kusuka kokubili incazelo kanye ne-median yedathasethi.
Imitapo yolwazi kanye Nemisebenzi Ehlobene
- AmaPanda: Lona umtapo wolwazi oyinhloko osetshenziswe kulesi sihloko, futhi waziwa kabanzi ngamakhono awo anamandla okukhohlisa idatha. Imisebenzi evame ukusetshenziswa njenge-mean(), median(), max(), min(), kanye ne-abs() iyingxenye yelabhulali ye-Pandas.
- I-NumPy: Lona omunye umtapo wezincwadi wekhompuyutha wezinombolo odumile ePython, onikeza ukwesekwa okubanzi kokusebenza ngokuhlelwa kanye nokusebenza kwezinombolo. Kwezinye izimo, umuntu angase asebenzise imisebenzi ye-NumPy ukuze afeze imisebenzi efana ne-Pandas.
Ekuphetheni
Ukuhlonza ukuchezuka okukhulu kuma-Panda kuyisici esibalulekile sokuhlaziya idatha, okukuvumela ukuthi ulinganise ukuhlakazeka ngaphakathi kwedathasethi, futhi lesi sihloko sichaze indlela eqondile yokwenza lo msebenzi. Ngokusetshenziswa kwemisebenzi ye-Pandas njengokuthi mean(), median(), abs(), kanye max(), kuba nokwenzeka ukubala ngempumelelo ukuchezuka okukhulu kwanoma iyiphi idathasethi enikeziwe. Ngaphezu kwalokho, ukusebenza okufanayo kanye nokusebenza kungazuzwa kusetshenziswa imitapo yolwazi efana ne-NumPy, ehambisana futhi enweba ububanzi bamasu okukhohlisa idatha atholakalayo kunjiniyela.
