【发布时间】:2022-02-11 02:58:53
【问题描述】:
你能帮我删除 read_csv pandas 中的数字吗?例如我想要
我想知道是否有人可以帮助我做到这一点! 先感谢您! 我的代码:
from time import sleep
from pywebio.input import *
from pywebio.output import *
from pywebio import start_server
import pandas
def app():
pandas.options.display.max_rows = 6000
pandas.set_option('display.float_format', lambda x: '%.0f' % x)
a = pandas.read_csv("https://raw.githubusercontent.com/owid/covid-19-data/master/public/data/latest/owid-covid-latest.csv", delimiter=",", )
out = (a[["location", "new_cases", "total_cases","new_deaths","total_deaths"]].to_string().replace('\n','\n'+' '*12))
out1 = '{:<11} {}'.format('',out)
Titles1 = out1.replace("location", "Location")
Titles2 = Titles1.replace("new_cases", "New Cases")
Titles3 = Titles2.replace("total_deaths", "Total Deaths")
Titles4 = Titles3.replace("total_cases", "Total Cases")
Titles5 = Titles4.replace("new_deaths", "New deaths")
No0 = Titles5.replace(".0", "")
print(No0)
put_code(No0)
while True:
sleep(1)
start_server(app,636)
【问题讨论】:
-
该数字似乎是您的 DataFrame 的索引,它是 DataFrame 本身的属性。您可以使用
read_csv的index_col关键字参数来使用不同的列。