Python常用功能函数系列总结（六）

本节目录

常用函数一：词云图

常用函数一：词云图

• wordcloud

# -*- coding: utf-8 -*-

"""
Datetime: 2020/06/28
Author: Zhang Yafei
Description: 词云图
"""
import os
import random

import matplotlib.pyplot as plt
import numpy as np
from PIL import Image
from pylab import mpl
from wordcloud import WordCloud
import pandas as pd


plt.figure(figsize=(13, 6), dpi=500)


# 定义一个函数
def grey_color_func(word, font_size, position, orientation, ranndom_state=None, **kwargs):
    return "hsl(0,0%%,%d%%)" % random.randint(60, 100)


def plot_wordcloud(cols, rows, num, title, frequence_dict, mask_image='mask1.jpg'):
    plt.subplot(rows, cols, num)

    # 背景图
    root = os.path.dirname(__file__)
    mask = np.array(Image.open(os.path.join(root, mask_image)))

    # 设置字体
    font = os.path.join(root, 'simsun.ttc')
    wordcloud = WordCloud(font_path=font, mask=mask, background_color='white').generate_from_frequencies(frequencies=frequence_dict)

    # 设置默认字体
    mpl.rcParams['font.sans-serif'] = ['SimHei']

    # 标题
    plt.title(title)

    # 显示我们生成图片
    plt.imshow(wordcloud)

    plt.tight_layout()
    # 去掉x,y轴的标签
    plt.axis("off")


def plot_wordcloud1(frequence_dict, title=None,mask_image='mask.png', bcolor='white'):
    # 背景图
    root = os.path.dirname(__file__)
    mask = np.array(Image.open(os.path.join(root, mask_image)))

    # 设置字体
    font = os.path.join(root, 'simsun.ttc')
    wordcloud = WordCloud(scale=6, font_path=font, mask=mask, max_words=60, background_color=bcolor).generate_from_frequencies(frequencies=frequence_dict)

    # 设置默认字体
    mpl.rcParams['font.sans-serif'] = ['SimHei']

    # 标题
    if title: plt.title(title)

    # 显示我们生成图片
    plt.imshow(wordcloud)

    # 去掉x,y轴的标签
    plt.axis("off")

    if title:
        plt.savefig(os.path.join('res', f'{title}.png'))
    else:
        plt.savefig(os.path.join('res', '词云图.png'))
    plt.show()


def read_data():
    df = pd.read_excel('word_cloud_data.xlsx', index_col=0)
    return df['freq'].to_dict()


if __name__ == '__main__':
    data_dict = read_data()
    plot_wordcloud1(frequence_dict=data_dict)

• pyecharts　　

# -*- coding: utf-8 -*-

"""
Datetime: 2020/07/26
Author: Zhang Yafei
Description: pyecharts实现词云图
"""
from pyecharts import WordCloud, Page
import pandas as pd


def read_data():
    df = pd.read_excel('word_cloud_data.xlsx', index_col=0)
    return df.index, df['freq']
    # return list(zip(df.index, df['freq']))


def plot_wordcloud():
    words, freq = read_data()
    wordcloud = WordCloud("新冠疫情研究词云图", width=800, height=600)
    wordcloud.add("", words, freq, shape='circle', word_size_range=[20, 100])
    # wordcloud.add("", words, freq, shape='circle')
    # name	图列名称	str
    # attr	word数据，词云图中显示的词语	list
    # value	词语权重，相当于词频	list
    # shape	生成的词云图轮廓， 有'circle', 'cardioid', 'diamond', 'triangle-forward', 'triangle', 'pentagon', 'star'可选	list
    # word_gap	单词间隔，默认为20	int
    # word_size_range	单词字体大小范围，默认为[12,60]	list
    # rotate_step	旋转单词角度，默认为45
    wordcloud.render('新冠研究词云图.html')


if __name__ == '__main__':
    plot_wordcloud()