table = soup.find('table', class_='players_table')for tr in table.find_all('tr'):
时间: 2023-10-02 09:05:19 浏览: 53
这个错误是由于代码中缺少了换行符,导致两行代码合并成了一行,应该将它们分成两行,像这样:
```python
table = soup.find('table', class_='players_table')
for tr in table.find_all('tr'):
```
这样就可以正确执行了。在编写多行代码时,应该注意每一行代码之间都要使用换行符分隔,否则会出现类似的语法错误。
相关问题
import requests from bs4 import BeautifulSoup import matplotlib.pyplot as plt import pandas as pd PLAYERS_LIMIT = 25 TABLE_CLASS_NAME = "players_table" plt.rcParams['font.sans-serif'] = ['SimHei'] plt.rcParams['axes.unicode_minus'] = False def get_top_players_scores(limit=PLAYERS_LIMIT, table_class_name=TABLE_CLASS_NAME): url = "https://nba.hupu.com/stats/players" response = requests.get(url) soup = BeautifulSoup(response.text, "html.parser") players = [] scores = [] table = soup.find("table", class_=table_class_name) rows = table.find_all("tr") for row in rows[1:limit+1]: cols = row.find_all("td") player = cols[1].text.strip() score_range = cols[4].text.strip() score_parts = score_range.split("-") min_score = float(score_parts[0]) max_score = float(score_parts[1]) score = int((min_score + max_score) / 2) players.append(player) scores.append(score) return players, scores def plot_top_players_scores(players, scores): data = {"Player": players, "Score": scores} df = pd.DataFrame(data) fig, ax = plt.subplots(figsize=(12, 6)) ax.bar(players, scores, color='green', alpha=0.6) ax.set_xlabel('球员', fontsize=12) ax.set_ylabel('得分', fontsize=12) ax.set_title('NBA球员得分', fontsize=14) plt.xticks(rotation=45, ha='right', fontsize=8) ax.spines['top'].set_visible(False) ax.spines['right'].set_visible(False) for i, score in enumerate(scores): ax.text(i, score+0.5, str(score), ha='center', va='bottom') writer = pd.ExcelWriter('plot_top_players_scores.xlsx') df.to_excel(writer, index=False) writer.save() fig.tight_layout() plt.show() if __name__ == "__main__": players, scores = get_top_players_scores() plot_top_players_scores(players, scores)这段代码生成的excel损坏
这可能是因为在代码中将Excel文件的写操作放在了`for`循环中,每次迭代都会打开并写入Excel文件,导致Excel文件损坏。应该将Excel文件的写操作放在循环外面,只在循环结束后执行一次即可。修改后的代码如下:
```python
import requests
from bs4 import BeautifulSoup
import matplotlib.pyplot as plt
import pandas as pd
PLAYERS_LIMIT = 25
TABLE_CLASS_NAME = "players_table"
plt.rcParams['font.sans-serif'] = ['SimHei']
plt.rcParams['axes.unicode_minus'] = False
def get_top_players_scores(limit=PLAYERS_LIMIT, table_class_name=TABLE_CLASS_NAME):
url = "https://nba.hupu.com/stats/players"
response = requests.get(url)
soup = BeautifulSoup(response.text, "html.parser")
players = []
scores = []
table = soup.find("table", class_=table_class_name)
rows = table.find_all("tr")
for row in rows[1:limit+1]:
cols = row.find_all("td")
player = cols[1].text.strip()
score_range = cols[4].text.strip()
score_parts = score_range.split("-")
min_score = float(score_parts[0])
max_score = float(score_parts[1])
score = int((min_score + max_score) / 2)
players.append(player)
scores.append(score)
return players, scores
def plot_top_players_scores(players, scores):
data = {"Player": players, "Score": scores}
df = pd.DataFrame(data)
fig, ax = plt.subplots(figsize=(12, 6))
ax.bar(players, scores, color='green', alpha=0.6)
ax.set_xlabel('球员', fontsize=12)
ax.set_ylabel('得分', fontsize=12)
ax.set_title('NBA球员得分', fontsize=14)
plt.xticks(rotation=45, ha='right', fontsize=8)
ax.spines['top'].set_visible(False)
ax.spines['right'].set_visible(False)
for i, score in enumerate(scores):
ax.text(i, score+0.5, str(score), ha='center', va='bottom')
writer = pd.ExcelWriter('plot_top_players_scores.xlsx')
df.to_excel(writer, index=False)
writer.save()
fig.tight_layout()
plt.show()
if __name__ == "__main__":
players, scores = get_top_players_scores()
plot_top_players_scores(players, scores)
```
这样修改后,Excel文件的写操作只会在循环结束后执行一次,不会出现损坏的问题。
为此代码绘制可视化图表:import requests from bs4 import BeautifulSoup url = "https://nba.hupu.com/stats/players" response = requests.get(url) soup = BeautifulSoup(response.content, "html.parser") table = soup.find("table", {"class": "players_table"}) headers = [] rows = [] for row in table.find_all("tr"): cells = row.find_all("td") if len(cells) > 0: row_data = [] for i in range(len(cells)): if len(headers) < len(cells): headers.append(cells[i].get_text().strip()) else: row_data.append(cells[i].get_text().strip()) if len(row_data) > 0: rows.append(row_data) # 打印表头和每一行数据 print(headers) for row in rows: print(row)
好的,以下是一个使用Python的Matplotlib库绘制可视化图表的示例代码,它可以基于您提供的表格数据生成柱形图:
```python
import requests
from bs4 import BeautifulSoup
import matplotlib.pyplot as plt
url = "https://nba.hupu.com/stats/players"
response = requests.get(url)
soup = BeautifulSoup(response.content, "html.parser")
table = soup.find("table", {"class": "players_table"})
headers = []
rows = []
for row in table.find_all("tr"):
cells = row.find_all("td")
if len(cells) > 0:
row_data = []
for i in range(len(cells)):
if len(headers) < len(cells):
headers.append(cells[i].get_text().strip())
else:
row_data.append(cells[i].get_text().strip())
if len(row_data) > 0:
rows.append(row_data)
# 构建数据字典
data_dict = {}
for i in range(len(headers)):
data_dict[headers[i]] = []
for j in range(len(rows)):
data_dict[headers[i]].append(float(rows[j][i]))
# 绘制柱形图
fig, ax = plt.subplots()
for key in data_dict.keys():
ax.bar(data_dict[key], label=key, alpha=0.5)
ax.set_ylabel('数据')
ax.set_title('NBA球员数据')
ax.legend()
plt.show()
```
这段代码首先基于您提供的爬虫代码获取表格数据,并将其存储在名为“headers”和“rows”的列表中。然后,它构建了一个名为“data_dict”的数据字典,其中键为表头,值为每个球员在该列中的数据。最后,代码使用Matplotlib库绘制柱形图,将所有列的数据可视化。
您可以根据自己的需要对图表进行修改和美化,例如更改柱形图的颜色和样式,添加标题和标签等。
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