随机播放给定的 Pandas DataFrame 行

让我们看看如何打乱 DataFrame 的行。我们将使用 pandas 模块的 sample() 方法随机打乱 Pandas 中的 DataFrame 行。

示例 1：

Python3

# import the module
import pandas as pd
   
# create a DataFrame
data = {'Name': ['Mukul', 'Rohan', 'Mayank',
                 'Shubham', 'Aakash'],
        'Class': ['BCA', 'BBA', 'BCA', 'MBA', 'BBA'],
        'Location' : ['Saharanpur', 'Meerut', 'Agra',
                      'Saharanpur', 'Meerut']}
df1 = pd.DataFrame(data)
   
# print the original DataFrame
print("Original DataFrame :")
display(df1)
   
# shuffle the DataFrame rows
df2 = df1.sample(frac = 1)
   
# print the shuffled DataFrame
print("\nAfter Shuffle:")
display(df2)

输出：

示例 2：

Python3

# import the module
import pandas as pd
   
# create a DataFrame
ODI_runs = {'name': ['Tendulkar', 'Sangakkara', 'Pointing',
                      'Jayasurya', 'Jayawardene', 'Kohli',
                      'Haq', 'Kallis', 'Ganguly', 'Dravid'],
            'runs': [18426, 14234, 13704, 13430, 12650,
                     11867, 11739, 11579, 11363, 10889]}
df1 = pd.DataFrame(ODI_runs)
   
# print the original DataFrame
print("Original DataFrame :")
display(df1)
   
# shuffle the DataFrame rows
df2 = df1.sample(frac = 1)
   
# print the shuffled DataFrame
print("\nAfter Shuffle:")
display(df2)

输出：