1.通信簿.csv文件进行查询
import pandas as pd
from datetime import datetime
df = pd.read_csv('wjgl/src/通信录.csv', names=["姓名","住址","电话","生日"])
df.to_csv('wjgl/通信录.csv', encoding="utf-8", index=0, header=0)
def xstxb():
df = pd.read_csv('wjgl/通信录.csv', names=["姓名","住址","电话","生日"])
for i in range(0, len(df)):
print(df.iloc[i][:])
def cztxb():
df = pd.read_csv('wjgl/通信录.csv', names=["姓名","住址","电话","生日"])
x = input("")
l = df.loc[df["姓名"] == x, ["姓名","住址","电话","生日"]]
if l.empty:
print("查无此人")
else:
print(l)
ch = ''
while ch != '0':
ch = input()
if ch == '1':
zjtxb()
elif ch == '2':
sctxb()
elif ch == '3':
cztxb()
elif ch == '4':
xgtxb()
elif ch == '5':
xstxb()
elif ch == '0':
break
2.在通信簿csv文件中增加数据
import pandas as pd
from datetime import datetime
df = pd.read_csv('wjgl/src/通信录.csv', names=["姓名","住址","电话","生日"])
df.to_csv('wjgl/通信录.csv', encoding="utf-8", index=0, header=0)
def zjtxb():
a = input()
df = pd.read_csv('wjgl/通信录.csv', names=["姓名","住址","电话","生日"])
df1 = df.loc[df['姓名'] == a]
if df1.empty:
b = input()
c = input()
d = input()
if int(d[4:6]) not in range(1,13) or int(d[-2:]) > 30:
print('生日格式不对')
elif len(c) != 11:
print('电话号码必须是11位')
else:
d = d[:4]+'-'+d[4:6]+'-'+d[6:]
df.loc[120] = [a,b,c,d]
df.to_csv('wjgl/通信录.csv',encoding='utf-8',index=0,header=0)
else:
print('该用户已经存在')
def xstxb():
df = pd.read_csv('wjgl/通信录.csv', names=["姓名","住址","电话","生日"])
for i in range(0, len(df)):
print(df.iloc[i][:])
def cztxb():
df = pd.read_csv('wjgl/通信录.csv', names=["姓名","住址","电话","生日"])
x = input("")
l = df.loc[df["姓名"] == x, ["姓名","住址","电话","生日"]]
if l.empty:
print("查无此人")
else:
print(l)
ch = ''
while ch != '0':
ch = input()
if ch == '1':
zjtxb()
elif ch == '2':
sctxb()
elif ch == '3':
cztxb()
elif ch == '4':
xgtxb()
elif ch == '5':
xstxb()
elif ch == '0':
break
3.在通信录csv文件中删除数据
import pandas as pd
from datetime import datetime
df = pd.read_csv('wjgl/src/通信录.csv', names=["姓名","住址","电话","生日"])
df.to_csv('wjgl/通信录.csv', encoding="utf-8", index=0, header=0)
def xstxb():
df=pd.read_csv('wjgl/通信录.csv',names=["姓名","住址","电话","生日"])
for i in range(0,len(df)):
print(df.iloc[i][:])
def sctxb():
a = input('')
df = pd.read_csv('wjgl/通信录.csv', names=["姓名","住址","电话","生日"])
df1 = df.loc[df['姓名'] == a]
if df1.empty:
print('查无此人')
else:
n = df.loc[df['姓名']==a].index.tolist()
df = df.drop(index=n)
df.to_csv('wjgl/通信录.csv', encoding='utf-8', index=0, header=0)
print('数据已删除')
def cztxb():
df = pd.read_csv('wjgl/通信录.csv', names=["姓名","住址","电话","生日"])
x = input("")
l = df.loc[df["姓名"] == x, ["姓名","住址","电话","生日"]]
if l.empty:
print("查无此人")
else:
print(l)
ch = ''
while ch != '0':
ch = input()
if ch == '1':
zjtxb()
elif ch == '2':
sctxb()
elif ch == '3':
cztxb()
elif ch == '4':
xgtxb()
elif ch == '5':
xstxb()
elif ch == '0':
break
4.在通信簿csv文件中修改数据
import pandas as pd
from datetime import datetime
df = pd.read_csv('wjgl/src/通信录.csv', names=["姓名","住址","电话","生日"])
df.to_csv('wjgl/通信录.csv', encoding="utf-8", index=0, header=0)
def xstxb():
df = pd.read_csv('wjgl/通信录.csv', names=["姓名","住址","电话","生日"])
for i in range(0, len(df)):
print(df.iloc[i][:])
def cztxb():
df = pd.read_csv('wjgl/通信录.csv', names=["姓名","住址","电话","生日"])
x = input("")
l = df.loc[df["姓名"] == x, ["姓名","住址","电话","生日"]]
if l.empty:
print("查无此人")
else:
print(l)
def xgtxb():
a = input()
df = pd.read_csv('wjgl/通信录.csv', names=["姓名","住址","电话","生日"])
df1 = df.loc[df['姓名'] == a]
if df1.empty==True:
print('查无此人')
else:
b=input()
c=input()
d=input()
if int(d[4:6]) not in range(1,13) or int(d[-2:])>30:
print('生日格式不对')
elif len(c) != 11:
print('电话号码必须是11位')
else:
d = d[:4]+'-'+d[4:6]+'-'+d[6:]
df.loc[df['姓名'] == a] = [a,b,c,d]
df.to_csv('wjgl/通信录.csv', encoding='utf-8', index=0, header=0)
print('数据已修改')
ch = ''
while ch != '0':
ch = input()
if ch == '1':
zjtxb()
elif ch == '2':
sctxb()
elif ch == '3':
cztxb()
elif ch == '4':
xgtxb()
elif ch == '5':
xstxb()
elif ch == '0':
break
