我的熊猫导入代码行是否有问题，或者是否需要纠正语法错误？

Question

我对编码非常陌生，想让代码计算单词的出现频率，但是我停下来了，因为第5行存在问题-导入熊猫。我不确定该如何解决该问题。我也不确定如何对代码进行防护，因此请提前抱歉。

我已经从阅读其他Stack Overflow问题中检查了我的python版本是否与我的熊猫版本兼容，很好。我正在使用Ancaonda Navigator Spyder。

txt = " remember all those walls we built remember those times"

words = txt.split()

for word in words:

print (word + " " + str(txt.count(word))

import pandas

my table = pd.DataFrame()

for word in words:

tempdf = pd.DataFrame ({"word" : [word], "frequency" : [txt.count(word)]})

my table = mytable.append(tempdf)

print(my table)

错误消息____________________________________________________________

import pandas
    <

SyntaxError: invalid syntax 

Answer 1

您需要在第4行中添加一个额外的右括号并在第5行中将导入熊猫添加为pd，因为您使用的是pd而不是pandas

Answer 2

您的语法错误是由于之前 )行上print的右括号缺少[import pandas as pd]。该行应显示为：

print(word + " " + str(txt.count(word)))

作为语法错误的一般提示，请先检查前一行或上一个函数调用中是否缺少括号或多余的括号。

Answer 3

您需要：

txt = " remember all those walls we built remember those times"

words = txt.split()

for word in words:

    print(word + " " + str(txt.count(word)))

import pandas as pd

mytable = pd.DataFrame()

for word in words:

    tempdf = pd.DataFrame ({"word" : [word], "frequency" : [txt.count(word)]})
    mytable = mytable.append(tempdf)

print(mytable)

或更佳：

import pandas as pd
txt = " remember all those walls we built remember those times"
words = txt.split()
for word in words:
    print(word + " " + str(txt.count(word)) )

my_table=pd.concat([pd.DataFrame ({"word" : [word], "frequency" : [txt.count(word)]}) for word in words])
print(mytable)