如何向 DataFrame 添加字符串值? [英] How do I add a string value to DataFrame?

问题描述

string = 'cool'
df = pd.DataFrame(columns=['string_values'])

附加

df.append(string)

当我尝试将其附加到 df 时出现此错误.(是不是只针对数值数据?)

I get this error when I try to append it into df. (Is it only for numerical data?)

cannot concatenate object of type "<class 'str'>"; only pd.Series, pd.DataFrame, and pd.Panel (deprecated) objs are valid

我只想在数据框中添加一个字符串值 string = 'cool'，但我收到此错误.

I just want to add a string value string = 'cool' into the dataframe, but I get this error.

推荐答案

我认为最好使用 DataFrame 构造函数并分配一个元素列表:

I think best is use DataFrame contructor and assign one element list:

string = 'cool'
df = pd.DataFrame([string], columns=['string_values'])
print (df)
  string_values
0          cool

如果字符串是在循环中生成的，最好将它们附加到一个列表中，然后只传递给构造函数一次:

If strings are generated in loop best is append them to one list and then pass to constructor only once:

L  = []
for x in range(3):
    L.append(string)

df = pd.DataFrame(L, columns=['string_values'])
print (df)
  string_values
0          cool
1          cool
2          cool

性能:

In [43]: %%timeit
    ...: L  = []
    ...: for x in range(1000):
    ...:     value1 = "dog" + str(x)
    ...:     L.append(value1)
    ...: 
    ...: df = pd.DataFrame(L, columns=['string_values'])
    ...: 
1.29 ms ± 56.6 µs per loop (mean ± std. dev. of 7 runs, 1000 loops each)

In [44]: %%timeit
    ...: df = pd.DataFrame(columns=['string_values'])
    ...: for x in range(1000):
    ...:     value1 = "dog" + str(x)
    ...:     df = df.append({'string_values': value1}, ignore_index=True)
    ...: 
1.19 s ± 34.3 ms per loop (mean ± std. dev. of 7 runs, 1 loop each)

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