Pandas babban ɗakin karatu ne na Python mai ƙarfi don nazarin bayanai da sarrafa bayanai, ana amfani da shi sosai a yankuna daban-daban, gami da duniyar salo. Yin amfani da Pandas, ƙwararrun kayan kwalliya da masu haɓakawa za su iya gano abubuwan da ke faruwa, alamu, da fahimta ta hanyar nazarin bayanan da ke da alaƙa da masana'antar salon. A cikin wannan labarin, za mu shiga cikin ayyukan Pandas masu ƙarfi, ma'ana da kuma suman, da aikace-aikacen su a cikin nazarin bayanan fashion.
Waɗannan ayyuka na iya zama da taimako sosai wajen gano mahimman bayanai game da abubuwan salo kamar tallace-tallace, yanayin farashi, ƙimar samfur, da ƙari. Ta hanyar ƙididdige ma'ana da jimlar halaye daban-daban, za mu iya zana bayanai masu mahimmanci don yanke shawara game da salo da salon salo.
Maganin matsalar
Don nuna amfani da pandas ma'ana da kuma suman ayyuka, bari mu ɗauka muna da kundin bayanai mai ɗauke da cikakkun bayanai game da abubuwa daban-daban na salo kamar salon su, launukansu, farashi, da ƙima. Za mu shigo da wannan saitin bayanai cikin pandas DataFrame kuma mu fara nazarin mu ta amfani da ma'ana da ayyuka na jimla.
import pandas as pd
# Read data from a CSV file and load it into a DataFrame
data = pd.read_csv('fashion_items.csv')
# Calculate mean and sum of the price column
mean_price = data['price'].mean()
sum_price = data['price'].sum()
print('Mean price:', mean_price)
print('Total price:', sum_price)
Bayanin mataki-mataki na lambar
- Da farko, muna shigo da ɗakin karatu na pandas tare da laƙabin 'pd'.
- Bayan haka, muna karanta bayanan daga fayil ɗin CSV mai suna 'fashion_items.csv' kuma mu loda shi cikin DataFrame mai suna 'data' ta amfani da aikin pd.read_csv. Rukunin bayanan ya ƙunshi bayanai game da abubuwa daban-daban na salon.
- Bayan haka, muna ƙididdige ma'anar farashin duk kayan kwalliya ta amfani da ma'anar () aikin da aka yi amfani da shi zuwa ginshiƙin 'farashi' na DataFrame. Ana adana wannan ƙimar a cikin ma'auni mai suna 'mean_price'.
- Hakazalika, muna ƙididdige jimillar farashin duk kayan kwalliya ta hanyar kiran aikin jimlar() akan ginshiƙin 'farashin'. Ana adana wannan ƙimar a cikin madaidaicin mai suna 'sum_price'.
- A ƙarshe, muna buga ƙididdigan ma'ana da jimillar farashin kayan ƙirar.
Laburaren da ke da alaƙa da ayyuka a cikin Pandas
Akwai ɗimbin ɗakunan karatu da ayyuka waɗanda suka dace da amfani da pandas don nazarin bayanai a cikin masana'antar keɓe. Wasu daga cikin waɗannan ayyuka masu amfani ban da ma'ana da kuma suman sun hada da:
Pandas rukuni-rukuni aiki
The rukuni-rukuni Ayyuka yana taimakawa musamman don tara bayanai dangane da takamaiman ginshiƙai. Misali, idan muna son yin nazarin ma'ana da jimillar farashin kayan sawa ga kowane salon da ke cikin bayananmu.
# Group data by style and calculate mean and sum of the price
grouped_data = data.groupby('style')['price'].agg(['mean', 'sum'])
print(grouped_data)
Pandas hada aikin
The tafi Aiki yana ba mu damar haɗa DataFrames guda biyu dangane da ginshiƙi na gama gari. Misali, a ce muna da keɓaɓɓen saitin bayanai mai ɗauke da bayanai game da shaharar kowane salo. Ta hanyar haɗa duka DataFrames, za mu iya canza wannan bayanin zuwa fahimta mai mahimmanci.
# Import data related to style popularity
style_popularity_data = pd.read_csv('style_popularity.csv')
# Merge the original data and style_popularity_data based on the 'style' column
merged_data = pd.merge(data, style_popularity_data, on='style')
print(merged_data.head())
Ta hanyar fahimta da aiwatar da waɗannan ayyuka masu ƙarfi a cikin ɗakin karatu na Pandas, ƙwararrun ƙirar ƙira da masu haɓakawa za su iya yanke shawara mai fa'ida da kuma nazarin sabbin abubuwa da salo cikin sauƙi.
