Use pyecharts to read csv and realize the visualization of data statistics

Use pyecharts to read csv and realize the visualization of data statistics

Because we need a html data statistics interface, we made a visualization program based on the pyecharts package. Of course, matplotlib is still a commonly used data visualization package, but each has its own advantages and disadvantages; the basic function overview is to read the csv file data, for each column Perform data statistics and visualization, and finally form an html dynamic interface. The main reason for choosing pyecharts is that this dynamic interface is simply very cool.

First upload the finished product picture:

Data reading and data analysis module:

#导入csv模块
import csv
#导入可视化模块
from matplotlib import pyplot as plt
from pylab import mpl
import numpy as np
import random
from pyecharts import Line,Pie,Grid,Bar,WordCloud
#指定文件名，然后使用 with open() as 打开
 
python_file = 'haiyang.csv'
#filename = 'release/111.csv'
#python3 LieCharts.py test_chart --python_file 'haiyang.csv'
with open(python_file) as f:
    #创建一个阅读器：将f传给csv.reader
    reader = csv.reader(f)
    #使用csv的next函数，将reader传给next，将返回文件的下一行
    header_row = next(reader)
 
    for index, column_header in enumerate(header_row):
        print(index, column_header)
 
    #读取置信度
    #创建置信度的列表
    confidences =[]
    #创建风险等级数组
    highRisk = []
    middleRisk = []
    lowRisk = []
    noRisk = []
    person = []
    #创建时间点
    timePoint = []
    #文件信息
    fileInformation = []
 
    #遍历reader的余下的所有行（next读取了第一行，reader每次读取后将返回下一行）
    for row in reader:
 
    # 下面就是对某一列数据进行遍历，因为项目保密，就不列出具体代码了，其实就是各种循环语句，大家根据自己的数据简单写一下就行
 
    fileInformation.append('某某某某')
    fileInformation.append(row[0])
    fileInformation.append(row[1])
    fileInformation.append(row[2])
    fileInformation.append(len(confidences))
    int_confidences = []
    for i in confidences:
  # 同上
    len_noRisk = len(noRisk)
    len_lowRisk = len(lowRisk)
    len_middleRisk = len(middleRisk)
    len_highRisk = len(highRisk)
    len_person = len(person)
 
    total = int(len_person+len_highRisk+len_middleRisk+len_lowRisk+len_noRisk)
    if (len_highRisk > total/2):
  # 同上
数据可视化模块：

pie_title = Pie('某某某分析报表', "", title_pos='center',title_top="1%",title_text_size=42,subtitle_text_size=20)
 
value=[10000,6181,4386,4055,4000]
wordcloud=WordCloud(width=30,height=12,title="某某某某信息",title_pos="22%",title_top="12%",title_text_size=32)
wordcloud1=WordCloud(width=30,height=12,title="某某："+fileInformation[1],title_pos="22%",title_top="22%",title_text_size=26)
wordcloud2=WordCloud(width=30,height=12,title="某某："+fileInformation[2],title_pos="22%",title_top="30%",title_text_size=26)
#wordcloud3=WordCloud(width=30,height=12,title="音频采样率："+fileInformation[3],title_pos="22%",title_top="38%",title_text_size=26)
#wordcloud4=WordCloud(width=30,height=12,title="总时长/s："+fileInformation[4],title_pos="22%",title_top="36%",title_text_size=32)
 
#wordcloud.add("",fileInformation,value,word_size_range=[20,100],rotate_step=3
#    ,xaxis_pos=200,grid_left="1%",grid_bottom="50%",grid_top="5%",grid_right="80%")
#折线图
line=Line("某某某某某走势图",title_pos='center',title_top="51%",title_text_size=32,width=600,height = 20)
attr=timePoint
line.add("某某某某某",attr,int_confidences,legend_pos="85%",legend_top="54%",
    mark_point=["max","min"],mark_line=["average"])
#饼图
attr=["某某某某", "某某某某", "某某某某", "某某某"]
v1=[len_highRisk, len_middleRisk, len_lowRisk,len_noRisk]
pie=Pie("某某某某某某某",title_pos="65%",title_top="12%",title_text_size=32,width=100,height = 100)
pie.add("",attr,v1,radius=[0,30],center=[71,35],
    legend_pos="85%",legend_top="20%" ,legend_orient="vertical")
grid=Grid(width = 1800 ,height= 900)#调整画布大小
 
grid.add(line,grid_left="5%",grid_bottom="2%",grid_top="60%")
grid.add(pie_title,grid_bottom="10%")
grid.add(wordcloud,grid_left="1%",grid_bottom="50%",grid_top="5%",grid_right="80%")
grid.add(wordcloud1,grid_left="1%",grid_bottom="50%",grid_top="5%",grid_right="80%")
grid.add(wordcloud2,grid_left="1%",grid_bottom="50%",grid_top="5%",grid_right="80%")
#grid.add(wordcloud3,grid_left="1%",grid_bottom="50%",grid_top="5%",grid_right="80%")
#grid.add(wordcloud4,grid_left="1%",grid_bottom="50%",grid_top="5%",grid_right="80%")
grid.add(pie,grid_left="50%",grid_bottom="50%")
 
#grid.render()
grid.render(path='./release/XXXX.html')