首页运用三种方法（列表、numpy、字典）生成一个DATA Frame

运用三种方法（列表、numpy、字典）生成一个DATA Frame

时间: 2023-07-10 07:40:29 浏览: 96

pandas通过字典生成dataframe的方法步骤

1、将一个字典输入：该字典必须满足：value是一个list类型的元素，且每一个key对应的value长度都相同：（以该字典的key为columns） >>> import pandas as pd >>> a = [1,2,3,4,5] >>> b = ["a","b","c"] >>> c = 1 >>> df = pd.DataFrame({"A":a,"B":b,"C":c}) Traceback (most recent call last): ValueError: arrays must all be same length >>> df = pd.DataFrame([a

好的，下面是三种方法生成DataFrame的示例代码：使用列表： ```python import pandas as pd data = [["Alice", 23, "Female"], ["Bob", 25, "Male"], ["Charlie", 21, "Male"]] df = pd.DataFrame(data, columns=["Name", "Age", "Gender"]) print(df) ``` 输出结果： ``` Name Age Gender 0 Alice 23 Female 1 Bob 25 Male 2 Charlie 21 Male ``` 使用NumPy： ```python import pandas as pd import numpy as np data = np.array([["Alice", 23, "Female"], ["Bob", 25, "Male"], ["Charlie", 21, "Male"]]) df = pd.DataFrame(data, columns=["Name", "Age", "Gender"]) print(df) ``` 输出结果： ``` Name Age Gender 0 Alice 23 Female 1 Bob 25 Male 2 Charlie 21 Male ``` 使用字典： ```python import pandas as pd data = {"Name": ["Alice", "Bob", "Charlie"], "Age": [23, 25, 21], "Gender": ["Female", "Male", "Male"]} df = pd.DataFrame(data) print(df) ``` 输出结果： ``` Name Age Gender 0 Alice 23 Female 1 Bob 25 Male 2 Charlie 21 Male ```

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