Question

我最近一直在教自己网络抓取，我在尝试使我的代码模块化时遇到了一些错误。我收到错误：

File "ValueScraper.py", line 16, in <module>
table = ts.lol_table(soup)
TypeError: 'list' object is not callable

我正在尝试编写一个使用原始程序方法的新程序，但无法弄清楚为什么会失败。这是使用所有方法的旧程序：

from bs4 import BeautifulSoup
from urllib2 import urlopen
import csv
import pandas

#url of Basketball Reference page
url = "http://www.basketball-reference.com/leagues/NBA_2017_totals.html"

#set columns for pandas dataframe
header = ["Player", "Pos", "Age", "Tm", "G", "GS", "MP", "FG", "FGA", "FG%", "3P", "3PA", "3P%", "2P", "2PA", "2P%", "eFG%", "FT", "FTA", "FT%", "ORB", "DRB", "TRB", "AST", "STL", "BLK", "TOV", "PF", "PTS"]

#open url and turn to BS object
def make_soup(url):
    html = urlopen(url).read()
    soup = BeautifulSoup(html, "lxml")
    return soup


#returns list of lists (lol_table) of html table
def lol_table(soup, class_name = ""):
    rows = []
    if class_name is "":
        rows = soup.find_all('tr')
    else:
        rows = soup.find_all('tr', class_ = class_name)
    data = []
    for row in rows:
        cols = row.find_all('td')
        data_row = []
        for col in cols:
            data_row.append(col.find(text=True))
        data.append(data_row)
    return data


#create pandas dataframe from lol_table and create csv of it
def to_pandas_csv(lol_table):
    df = pandas.DataFrame(lol_table, columns=header)
    df.to_csv("nba.csv")
    return df

soup = make_soup(url)
lol_table = lol_table(soup, "full_table")
data_frame = to_pandas_csv(lol_table)

这是新文件：

from bs4 import BeautifulSoup
from urllib2 import urlopen
import csv
import pandas
import TableScraper as ts

#url of table with values
url = "http://www.rotowire.com/daily/NBA/optimizer.php?site=FanDuel"

#columns for table
columns = ["Player", "Value"]

#make soup of url
soup = ts.make_soup(url)

table = ts.lol_table(soup)

任何帮助都将不胜感激。

Answer 1

lol_table = lol_table(soup, "full_table")

不要将该函数的名称重新绑定到其调用的结果中。 Python不区分函数对象的名称和非函数对象的名称：在该范围内只能有一个该名称的对象，并且最新的绑定优先。选择其他名称。

result = lol_table(soup, "full_table")

列表对象不可调用，无法找到错误

1 个答案: