Matsakaicin karkata a cikin Pandas batu ne mai ban sha'awa idan ya zo ga nazarin bayanai da magudi ta amfani da sanannen ɗakin karatu na Python Pandas. Ɗaya daga cikin mahimman abubuwan da ke nazarin bayanai shine gano bambancin da ke cikin bayanan, wanda za'a iya yi ta hanyar ƙididdige iyakar karkata. A cikin wannan labarin, za mu koyi yadda za a lissafta max ƙetare a Pandas, bincika hanyoyi daban-daban da zurfafa cikin wasu ɗakunan karatu da ayyuka masu dacewa waɗanda za a iya amfani da su don magance wannan matsala.
Matsakaicin karkata yana nufin matsakaicin bambanci tsakanin ƙima a cikin saitin bayanai da ma'ana ko tsaka-tsakin wannan saitin. A cikin ƙididdiga, karkata yana taimakawa wajen fahimtar tarwatsawa da bambance-bambancen wuraren bayanai a cikin saitin bayanai. Yana da mahimmancin ra'ayi sau da yawa ana amfani dashi a cikin nazarin kuɗi, sarrafa sigina, da sauran filayen ƙididdiga.
Maganin Matsala
Don ƙididdige juzu'in max a Pandas, zamu iya farawa ta shigo da dakunan karatu masu mahimmanci da ƙirƙirar samfurin DataFrame. Sa'an nan, za mu lissafta ma'ana ko tsaka-tsakin bayanan kuma mu sami matsakaicin tazara tsakanin kowane ma'anar bayanai da matsakaici / matsakaici. A ƙarshe, za mu yi amfani da aikin max() don nemo ƙima mafi girma a tsakanin waɗannan cikakkun karkatattun.
Anan ga lambar misalin da ke nuna yadda ake ƙididdige max a cikin 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)
Bayanin mataki-mataki
Yanzu bari mu shiga ta hanyar lambar mataki zuwa mataki don fahimtar tsarin ƙididdige max a cikin Pandas DataFrame:
1. Da farko, muna shigo da ɗakin karatu na pandas kuma muna ƙirƙirar samfurin DataFrame tare da shafi guda ɗaya mai suna 'Value'.
2. Sa'an nan kuma mu lissafta ma'ana da tsaka-tsakin bayanan ta amfani da ma'anar () da kuma tsaka-tsakin () ayyuka da Pandas ke bayarwa.
3. Na gaba, muna ƙididdige madaidaicin ƙetare ga kowane ma'aunin bayanai ta hanyar cire ma'ana da tsaka-tsaki daga ma'auni na bayanai, kuma mu ɗauki cikakkiyar ƙimar bambance-bambancen da aka samu.
4. A ƙarshe, muna amfani da aikin max () don nemo madaidaicin ƙima tsakanin madaidaicin ƙetare.
5. Fitarwa zai nuna max ƙetare daga duka ma'ana da tsaka-tsaki na bayanan.
Dakunan karatu masu alaƙa da Ayyuka
- Pandas: Wannan shine babban ɗakin karatu na farko da aka yi amfani da shi a cikin wannan labarin, kuma an san shi sosai don ƙarfin sarrafa bayanai. Ayyukan da aka saba amfani da su kamar su ma'ana(), matsakaici (), max(), min(), da abs() wani yanki ne na ɗakin karatu na Pandas.
- NumPy: Wannan wani mashahurin ɗakin karatu ne na lissafin lissafi a Python, yana ba da tallafi mai yawa don aiki tare da tsararru da ayyukan ƙididdiga. A wasu lokuta, mutum na iya amfani da ayyukan NumPy don cimma ayyuka iri ɗaya kamar na Pandas.
a ƙarshe
Gano max ƙetare a cikin Pandas wani muhimmin al'amari ne na nazarin bayanai, yana ba ku damar auna tarwatsawa a cikin tarin bayanai, kuma wannan labarin ya zayyana hanya madaidaiciya don aiwatar da wannan aikin. Ta hanyar amfani da ayyukan Pandas kamar ma'ana (), matsakaici (), abs(), da max(), yana yiwuwa a iya ƙididdige max ƙetare ga kowane saitin bayanai. Bugu da ƙari, ana iya samun irin wannan ayyuka da ayyuka ta amfani da dakunan karatu kamar NumPy, waɗanda ke haɓakawa da faɗaɗa iyakokin dabarun sarrafa bayanai da ke akwai ga mai haɓakawa.
