attributeerror: 'dataframe' object has no attribute 'append'
The `append()` method was indeed available for pandas DataFrame objects in previous versions of pandas. However, starting from pandas 1.0.0, the `append()` function is deprecated when used on a single DataFrame and will raise an AttributeError. Instead of using `.append()`, you should use the `pd.concat()` function to concatenate DataFrames: ```python import pandas as pd # Assuming you have two dataframes df1 and df2 df = pd.concat([df1, df2], ignore_index=True) ``` Here, `ignore_index=True` is used if you want a new index sequence (a common case when appending). If you don't need to reset the index, you can omit that parameter. The above code snippet concatenates `df1` and `df2` vertically (i.e., rows are appended). If you want to append horizontally (add columns), you would do: ```python df = pd.concat([df1, df2], axis=1) ``` Keep in mind that `pd.concat()` has more options to handle overlapping indices, keys, etc., which makes it more flexible and powerful than the old `.append()` method. [2024-01-12 17:00:14 | AI写代码神器 | 240点数解答]
- [阿里通义] attributeerror: 'dataframe' object has no attribute 'append'(240点数解答 | 2024-01-12 17:00:14)254
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- [讯飞星火] traceback (most recent call last): file "/users/yinman/desktop/python和计网/习题.py", line 312, in <module> monty_hall_simulation(10000) file "/users/yinman/desktop/python和计网/习题.py", line 298, in monty_hall_simulation switch_door = [0,1,2].remove(player_choice).remove(open_door)[0] attributeerror: 'nonetype' object has no attribute 'remove' 有什么错误提示(517点数解答 | 2024-11-27 19:10:59)188
- [字节豆包] Traceback (most recent call last): File "/mnt/191/b/tommylee/AutoPresent/slidesbench/convert.py", line 104, in <module> convert_to_images(ppt_path, output_dir) File "/mnt/191/b/tommylee/AutoPresent/slidesbench/convert.py", line 97, in convert_to_images slide.export(fig, format='png') AttributeError: 'Slide' object has no attribute 'export' (171点数解答 | 2025-05-09 15:57:09)144
- [字节豆包] ```python def reverse_sentence(sentence): words = sentence.split() reversed_words = [] for word in words[::-1]: if word.islower(): reversed_words.append(word.upper()) elif word.isupper(): reversed_words.append(word.lower()) elif word.isdigit(): reversed_words.append(word[::-1]) else: reversed_words.append(word) return " ".join(reversed_words) sentence = input() print(reverse_sentence(sentence)) ```用C(803点数解答 | 2025-10-25 10:06:05)21
- [DeepSeek] ```python def reverse_sentence(sentence): words = sentence.split() reversed_words = [] for word in words[::-1]: if word.islower(): reversed_words.append(word.upper()) elif word.isupper(): reversed_words.append(word.lower()) elif word.isdigit(): reversed_words.append(word[::-1]) else: reversed_words.append(word) return " ".join(reversed_words) sentence = input() print(reverse_sentence(sentence)) ```用C(703点数解答 | 2025-10-25 10:07:45)33
- [阿里通义] 'slide' object has no attribute 'export'(269点数解答 | 2024-04-23 10:27:59)253
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- [阿里通义] 使用下列代码创建数据框,完成以下的填空。 import numpy as np import pandas as pd data = {'animal': ['cat', 'cat', 'snake', 'dog', 'dog', 'cat', 'snake', 'cat', 'dog', 'dog'], 'age': [2.5, 3, 0.5, np.nan, 5, 2, 4.5, np.nan, 7, 3], 'visits': [1, 3, 2, 3, 2, 3, 1, 1, 2, 1], 'priority': ['yes', 'yes', 'no', 'yes', 'no', 'no', 'no', 'yes', 'no', 'no']} labels = ['a', 'b', 'c', 'd', 'e', 'f', 'g', 'h', 'i', 'j'] 1、使用data为数据,labels为索引,创建数据框df 2、取出 df 的 animal 和 age 列 填空1:df[________](317点数解答 | 2025-04-14 18:32:16)165
- [字节豆包] const dfiles = dv.pages(`"文件目录"`), yamlkey = 'source' , dc = (str, obj)=> object.assign(document.createelement(str), obj||{}) const inpu = dc('input', { style: 'width: 120px;', /*输入框宽度*/ onchange: ()=> arr.includes(inpu.value) && xl(), }) inpu.setattribute('list', 'demo') const sele = dc('datalist', {id: 'demo'}) const arr = array.from(new set(dfiles.map(p=> p[yamlkey]).filter(p=> p))) arr.unshift('..'); arr.map(p=> sele.append(dc('option', {value: p}))) dv.container.append(inpu, sele) const(139点数解答 | 2024-11-22 23:56:54)202