# 使用逗号作为分隔符 print("apple", "banana", "cherry", sep=", ") # 使用换行符作为分隔符 print("This is a message", "on multiple lines", sep="\n") 复制代码 此外,你还可以使用end参数来指定输出结束时的字符。默认情况下,print()函数在输出结束时会添加一个换行符,但你可以通过设置end参数...
on='product_id', how='inner') cudf_join_time = time.time() - start print(f"Pandas Join 时间: {pandas_join_time:.4f} 秒") print(f"cuDF Join 时间: {cudf_join_time:.4f}
PEP 8: multiple statements on one line (colon) 解决方法:多行语句写到一行了,比如:if x == 2: print('OK')要分成两行写 PEP 8: line too long (82 > 79 characters) 解决方法:超过了每行的最大长度限制79 PEP 8: Simplify chained comparison 可简化连锁比较(例如:if a >= 0 and a <= 9: ...
# multiple.sequences.zip.pypeople = ['Conrad','Deepak','Heinrich','Tom'] ages = [29,30,34,36]forperson, ageinzip(people, ages):print(person, age) 啊!好多了!再次比较前面的代码和第一个例子,欣赏 Python 的优雅之处。我想展示这个例子的原因有两个。一方面,我想给你一个概念,即 Python 中...
"""This is a good way to write a comment that spans multiple lines. """ # This is not a good way # to write a comment # that spans multiple lines. 注释和文档通常是编程过程中的事后想法,甚至被一些人认为弊大于利。但是正如 83 页的“误解:注释是不必要的”所解释的,如果你想写专业的、可...
PEP 8: multiple statements on one line (colon) 解决方法:多行语句写到一行了,比如:if x == 2: print('OK')要分成两行写 PEP 8: line too long (82 > 79 characters) 解决方法:超过了每行的最大长度限制79 PEP 8: Simplify chained comparison ...
import textwrapwrapper = textwrap.TextWrapper(width=20, max_lines=3)text = "This is a long text that needs to be wrapped into multiple lines."wrapped_text = wrapper.wrap(text)for line in wrapped_text: print(line)输出：This is a long textthat needs to bewrapped into [...]以上示例...
print(line) The main part of the code we are interested in here is lines 12 to 15. Here We have caught the exception Then we took out theStackTracewith the help of theexc_info() method of thesysmodule Then we printed out one line at a time using a for-loop. ...
Theprint()function has an optional keyword argument named end that lets us choose how we end each line. If we don’t want a new line to be printed we can just set the end value to an empty string. This can be handy when you want to print multiple variables on the same line. ...
Python在自动化办公方面有很多实用的第三方库,我们可以从官方网https://pypi.org/search/?q=pd找到很多这种第三方库来供给我们使用,这些库可以很方便的处理word、excel、ppt、pdf等文件,今天我们就学习一下Python处理PDF文档的两个常用库「pdfplumber」、「pypdf2」。