Python 3.x 使用numpy使用python进行数据分析。使用Matplotlib打印图形

使用

matplotlib

和

numpy

熊猫

不可用

包含数据的文件位于网站的右上角。如果在.xslx中，另存为UTF-8 CSV。如果可能，更容易使用numpy、matplotlib模块

• 一个特定州和一个月中一天的死亡人数。必须能够选择另一天和另一个状态，并重复该过程，直到有离开程序的请求
• 显示一天和另一天的不同
• 在新文件中保存前两项的信息（状态和百分比）
• 用这些信息创建两个图表。x月差异和x月死亡人数。 我曾想过这样的事情，但它不会成功。我将文件转换为.txt

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谢谢特伦顿，谢谢特伦顿。

import numpy as np
import matplotlib.pyplot as plt
from datetime import datetime

# 1: Opening the file and saving the data in the matrix (OK?)

arq=open('arq_COVID.csv','r',encoding='UTF-8')
C=arq.readline()
matriz=[]
for line in arq:
    matriz.append(line[:-1].split(';'))
arq.close

#2: Numpy array storage (not OK?)

print('Linhas: ',len(matriz),'\nColunas: ',len(matriz[0]))
matrizn=np.zeros((len(matriz),len(matriz[0])),dtype=object)
for i in range(matrizn.shape[0]): 
    for j in range(matrizn.shape[1]): 
        if j==7:
            matrizn[i,j]=datetime.strptime(matriz[i][j],'%d/%m/%Y').date() 
        elif j==0 or j==1 or j==2 or j==6:
            matrizn[i,j]=matriz[i][j]
        else:
            matrizn[i,j]=float(matriz[i][j]) # -> ValueError: could not convert string to float:''
                                             #Probably have some empty value (''). How to solve?
                                             
# 3: Search for elements (No have idea...HELP!). 
continue = 'Y'
while (continue == 'Y'):
    md=[];me=[];tdeath=[]
    print('='*30)
    day=input('Choose a day of the month: ')
    for x in range(len(matrizn)):
        if x==day:
           md=matrizn.append([x,7])         
    print('='*30)
    state=input('Choose a state: ')
    for y in range(len(matrizn)):
        if y==state:
            ms=matrizn.append([y,1])
    for w in range(len(matrizn)):
        if w==tdeath:
            tdeath=matrizn.append([w,12])
    else:
        print('='*30)
        continuar = input('Do you wish to continue [Y/N]? ')
 
# 4:Subtraction of elements (No have idea... HELP! )

matrizn1=np.zeros((len(md),len(tdeaths[0])),dtype=object)   
for i in range(matrizn1.shape[0]):                            
    for j in range(matrizn1.shape[1]):
        if j==0:
            matrizn1[i,j]=matrizn[i][12]-tdeaths
    
        else:
            matrizn1[i,j]=0  

# 5: Write the data to another file (OK?)

arq1=open('Covid.csv','w')
for i in range(matrizn1.shape[0]):
    line=''
    for j in range(matrizn1.shape[1]):
        line=line+str(matrizn1[i,j])+'\t'
    line=line[:-1]+'n'
    arq1.write(linha) 
arq1.close

# 6: Plot graphs (OK?)

plt.subplot(221)
plt.plot(matrizn[:,7],matrizn[:,12],'-b',label='Number of deaths')
plt.title('Evolution COVID-19')
plt.ylabel('Month')
plt.xlabel('Number of deaths')
plt.legend()
plt.grid(True)
plt.savefig('cov1.png')
plt.tight_layout()
plt.subplot(222)
plt.plot(matrizn1[:,0],matrizn1[:,1],'-r',label='Percentage')
plt.title('Percentage')
plt.ylabel('Month')
plt.xlabel('Percentage')
plt.legend()
plt.grid(True)
plt.savefig('cov2.png')
plt.tight_layout()
plt.show