An warware: pie auto percentage

A cikin duniyar yau, nazarin bayanai da hangen nesa suna taka muhimmiyar rawa a masana'antu daban-daban, gami da salo. Taswirar kek sanannen hanya ce don wakiltar bayanai cikin sha'awar gani da sauƙin fahimta. Ɗayan shari'ar amfani gama gari ita ce nuna adadin kowane rukuni a cikin saitin bayanai. A cikin wannan labarin, za mu tattauna yadda ake ƙirƙira taswirar keɓaɓɓu ta atomatik ta amfani da Python, da kuma zurfafa cikin ɗakunan karatu da ayyuka masu alaƙa waɗanda ke taimakawa magance matsalar.

Yayin ƙirƙirar ginshiƙi na kek na atomatik na iya zama kamar aiki mai ban tsoro, ɗimbin ɗakunan karatu da ayyuka na Python suna sa wannan tsari ya dace sosai. Maganinmu za ta yi amfani da yaren shirye-shiryen Python da dakunan karatu kamar Matplotlib da NumPy, waɗanda galibi ana amfani da su don ganin bayanai da ayyukan lambobi.

Bayanin mataki-mataki na Code

Don magance wannan matsalar, za mu bi matakan da aka zayyana a ƙasa:

1. Shigo da dakunan karatu na Python (Matplotlib da NumPy)
2. Shirya bayanai don ginshiƙi kek
3. Ƙayyade saitunan ginshiƙi kuma ƙirƙirar taswirar kek tare da ƙimar kashi ta atomatik
4. Nuna ginshiƙi kek

import matplotlib.pyplot as plt
import numpy as np

# Data preparation
categories = ['Trendy', 'Classic', 'Casual', 'Formal', 'Athletic']
values = [25, 35, 15, 10, 15]

# Chart settings and creation
fig, ax = plt.subplots()
ax.pie(values, labels=categories, autopct='%1.1f%%', startangle=90)

# Equal aspect ratio ensures the pie chart is circular
ax.axis('equal')

# Display the pie chart
plt.show()

Mun fara da shigo da dakunan karatu na Python da ake buƙata, Matplotlib da NumPy. To,, muna shirya bayanan don zane-zanen Pial ɗinmu, ma'anar nau'ikan daban-daban da ƙimarsu masu dacewa. A cikin misalinmu, waɗannan nau'ikan suna wakiltar salon salo daban-daban tare da kaso masu alaƙa.

Matplotlib Library

matplotlib yana ɗaya daga cikin shahararrun ɗakunan karatu na Python don ganin bayanai. Yana ba da damar ƙirƙirar adadi mai yawa, irin su layin layi, rarrabuwa, da mashaya, ban da ginshiƙan kek. Abin da ya sa Matplotlib ya fice shi ne ikonsa na keɓance filaye zuwa matsayi mai girma, gyara kamanninsu, har ma da ƙirƙirar abubuwan gani na mu'amala.

A cikin lambar mu, muna amfani da aikin “pie()” na Matplotlib don ƙirƙirar ginshiƙi daga bayanan shigarwa. Ana amfani da ma'aunin "autopct" don nuna ƙimar ƙimar atomatik, yayin da ma'aunin "startangle" yana juya ginshiƙi zuwa yanayin da ake so.

Laburaren NumPy

Lambobi (Python na lambobi) wani muhimmin ɗakin karatu na Python ne, musamman don lissafin lambobi. Yana ba da tallafi don tsararraki, matrices, da ayyuka daban-daban na lissafi, kamar algebra na layi, tsara lambar bazuwar, da ayyukan ƙididdiga. NumPy yana haɗawa da sauran ɗakunan karatu na Python kamar Matplotlib, kuma ƙarfinsa mai ƙarfi ya sa ya zama kayan aiki mai mahimmanci don bincike da sarrafa bayanai.

A cikin misalinmu, ba ma amfani da kowane takamaiman ayyuka na NumPy, amma kasancewar sa yana da mahimmanci ga sauran aikace-aikacen ci-gaba waɗanda zasu iya ma'amala da sarrafa bayanai masu rikitarwa kafin ƙirƙirar ginshiƙi.

A ƙarshe, Python yana ba da madaidaiciyar hanya mai sauƙi don ƙirƙirar taswirar kek na atomatik ta amfani da ɗakunan karatu kamar Matplotlib da NumPy. Fahimtar wannan tsari ba kawai zai taimaka a ayyukan ganin bayanai ba amma kuma zai inganta ƙwarewar ku a cikin shirye-shiryen Python da nazarin bayanai gaba ɗaya.