数组转dataframe
时间: 2023-06-06 19:08:42 浏览: 46
可以使用 pandas 库中的 DataFrame 函数将数组转换为 DataFrame,示例代码如下:
```python
import pandas as pd
array = [[1, 2], [3, 4], [5, 6]]
df = pd.DataFrame(array, columns=['col1', 'col2'])
print(df)
```
运行结果为:
```
col1 col2
0 1 2
1 3 4
2 5 6
```
相关问题
python 数组转dataframe
在Python中,将数组转换为DataFrame可以使用`pd.DataFrame()`函数进行转换。具体实例如下:
```python
import pandas as pd
# 定义数组
data = {'name':['Zhang San','Li Si','Wang Wu'], 'salary':['5000','7000','10000']}
array = pd.DataFrame(data)
# 将数组转换为DataFrame
df = pd.DataFrame(array)
# 打印DataFrame
print(df)
```
以上代码将数组转换为DataFrame并打印出来。<span class="em">1</span><span class="em">2</span><span class="em">3</span>
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python数组转dataframe
在中,可以使用pandas库中的DataFrame()方法将数组转换为DataFrame数据框。可以直接使用pd.DataFrame()方法将数组转换为DataFrame,例如:a=[[1,2,3],[4,5,6]] df=pd.DataFrame(a)。这里的a是一个数组,通过pd.DataFrame()方法将其转换为DataFrame数据框df。转换完成后,df的数据类型为<class 'pandas.core.frame.DataFrame'>。所以,要将Python数组转换为DataFrame,只需要使用pd.DataFrame()方法即可。<span class="em">1</span><span class="em">2</span><span class="em">3</span>
#### 引用[.reference_title]
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- *2* [python中Array和DataFrame如何相互转换](https://blog.csdn.net/ChenADC/article/details/122139684)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v93^chatsearchT3_1"}}] [.reference_item style="max-width: 50%"]
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