将NumPy数组转换为带头文件的Pandas数据框架

为了将numpy数组转换为pandas数据帧，我们使用Python Pandas库的pandas.DataFrame()函数。

语法: pandas.DataFrame(data=None, index=None, columns=None)

参数:
data： numpy ndarray, dict 或 dataframe
index: 产生的数据框架的索引
columns：结果数据框架的列标签

例子1 :

import numpy as np
import pandas as pd
  
  
arr = np.random.rand(4, 3)
print("Numpy array:")
print(arr)
  
# convert numpy array to dataframe
df = pd.DataFrame(arr, columns =['A', 'B', 'C'])
print("\nPandas DataFrame: ")
df

输出:

例子2 :

import numpy as np
import pandas as pd
  
  
arr = np.random.rand(6).reshape(2, 3)
print("Numpy array:")
print(arr)
  
# convert numpy array to dataframe
df = pd.DataFrame(arr, columns =['C1', 'C2', 'C3'])
print("\nPandas DataFrame: ")
df

输出:

例子3 :

import numpy as np
import pandas as pd
  
  
arr = np.array([[1, 2], [4, 5]])
print("Numpy array:")
print(arr)
  
# convert numpy array to dataframe
df = pd.DataFrame(data = arr, index =["row1", "row2"], 
                  columns =["col1", "col2"])
  
print("\nPandas DataFrame: ")
df

输出: