基于Pandas和PyEcharts的当当网图书信息可视化分析

1 绘制python图书封面的照片墙

import math
import os
from PIL import Image


def makePicturesWall(picdir):
    picslist = os.listdir(picdir)
    num_pics = len(picslist)
    size = 64
    line_numpics = int(math.sqrt(num_pics))
    picwall = Image.new('RGBA', (line_numpics * size, line_numpics * size))

    x = 0
    y = 0

    for pic in picslist:
        img = Image.open(os.path.join(picdir, pic))
        img = img.resize((size, size), Image.ANTIALIAS)

        picwall.paste(img, (x * size, y * size))
        x += 1
        if x == line_numpics:
            x = 0
            y += 1

    print('[INFO]: Generate pictures wall successfully......')
    picwall.save('picwall.png')



if __name__ == '__main__':
    imgDir = '/home/kiosk/PycharmProjects/Spider/mySpider/img/full'
    makePicturesWall(imgDir)

• 照片墙效果显示如下:

2 图书的价格分布南丁格尔图

import pandas as pd
from pyecharts import Pie


def load_data(filename):
    """

    :param filename: 加载数据的文件名
    :return:
            prices： 书籍的价格
            null_price_count: 空数据的个数
    """
    #  1). 读取csv文件;
    df = pd.read_csv(filename)