Python: panda

2022-07-30 20:00:26 阅读：176 来源： 互联网

标签：index Python dataFrame ID book pd print panda

import pandas as pd

df = pd.DataFrame(data={'id': [1, 2, 3], 'name': ['a', 'b', 'c']})
print(df)
df.to_excel('z.xlsx')

import pandas as pd

df = pd.DataFrame(data={'id': [1, 2, 3], 'name': ['a', 'b', 'c']})
df = df.set_index('id')
print(df)
df.to_excel('z.xlsx')

import pandas as pd

dataFrame = pd.read_excel('people.xlsx', header=1, index_col='ID')
dataFrame.columns = ['type', 'title', 'firstName', 'middleName', 'lastName']
# dataFrame.columns = ['id', 'type', 'title', 'firstName', 'middleName', 'lastName']
print(dataFrame.shape)
print(dataFrame.columns)
print(dataFrame.head(3))
print('~' * 80)
print(dataFrame.tail())

# dataFrame.set_index('ID', inplace=True)

dataFrame.to_excel('z.xlsx')

import pandas as pd

dataFrame = pd.read_excel('people.xlsx', header=1)
dataFrame.columns = ['id', 'type', 'title', 'firstName', 'middleName', 'lastName']
print(dataFrame.shape)
print(dataFrame.columns)
print(dataFrame.head(3))
print('~' * 80)
print(dataFrame.tail())

dataFrame.set_index('id', inplace=True)

dataFrame.to_excel('z.xlsx')

import pandas as pd

d = {'x': 5, 'y': 55, 'z': 555}
s1 = pd.Series(d)

s2 = pd.Series(data=[5, 55, 666], index=['a', 'b', 'c'])

column

import pandas as pd

s1 = pd.Series([1, 2, 3], index=[1, 2, 3], name='A')
s2 = pd.Series([11, 22, 33], index=[1, 2, 3], name='B')
s3 = pd.Series([111, 222, 333], index=[1, 2, 3], name='C')

dataFrame = pd.DataFrame({s1.name: s1, s2.name: s2, s3.name: s3})
print(dataFrame)

import pandas as pd
from datetime import date, timedelta

book = pd.read_excel('book.xlsx', skiprows=3, usecols='c:f', dtype={'ID': str})
print(book)
# book['ID'].at[0] = 55
d = date(2022, 5, 6)


def cal_date(d: date, month: int):
    year_delta = month // 12
    m = d.month + month % 12
    if m > 12:
        year_delta += m // 12
        m = m % 12
    return date(d.year + year_delta, m, d.day)


for i in book.index:
    # book['ID'].at[i] = i + 1
    book.at[i, 'ID'] = i + 1
    book['InStore'].at[i] = 'Y' if i % 2 else 'N'
    # book['Date'].at[i] = d + timedelta(days=i)
    # book['Date'].at[i] = date(d.year + i, d.month, d.day)
    book['Date'].at[i] = cal_date(d, i)
print(book['ID'], type(book['ID']))
print(book)
book.set_index('ID', inplace=True)
book.to_excel('z.xlsx')

for i in book.index:
    print(i)

标签：index,Python,dataFrame,ID,book,pd,print,panda
来源： https://www.cnblogs.com/dissipate/p/16535694.html

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Python: panda