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使用 reset_index() 方法删除 Pandas DataFrame 的索引
使用 set_index() 方法删除 Pandas DataFrame 的索引
本教程将介绍如何删除 Pandas DataFrame 的索引。 我们将使用下面显示的 DataFrame 来展示如何删除索引。 import pandas as pd my_df = pd.DataFrame( { "Person": ["Alice", "Steven", "Neesham", "Chris", "Alice"], "City": ["Berlin", "Montreal", "Toronto", "Rome", "Munich"], "Mother Tongue": ["German", "French", "English", "Italian", "German"], "Age": [37, 20, 38, 23, 35], }, index=["A", "B", "C", "D", "E"], ) print(my_df)输出： Person City Mother Tongue Age A Alice Berlin German 37 B Steven Montreal French 20 C Neesham Toronto English 38 D Chris Rome Italian 23 E Alice Munich German 35 使用 reset_index() 方法删除 Pandas DataFrame 的索引pandas.DataFrame.reset_index() 会将 DataFrame 的索引重置为默认索引。 import pandas as pd my_df = pd.DataFrame( { "Person": ["Alice", "Steven", "Neesham", "Chris", "Alice"], "City": ["Berlin", "Montreal", "Toronto", "Rome", "Munich"], "Mother Tongue": ["German", "French", "English", "Italian", "German"], "Age": [37, 20, 38, 23, 35], }, index=["A", "B", "C", "D", "E"], ) df_reset = my_df.reset_index() print("Before reseting Index:") print(my_df, "\n") print("After reseting Index:") print(df_reset)输出： Before reseting Index: Person City Mother Tongue Age A Alice Berlin German 37 B Steven Montreal French 20 C Neesham Toronto English 38 D Chris Rome Italian 23 E Alice Munich German 35 After reseting Index: index Person City Mother Tongue Age 0 A Alice Berlin German 37 1 B Steven Montreal French 20 2 C Neesham Toronto English 38 3 D Chris Rome Italian 23 4 E Alice Munich German 35它将重置 DataFrame 的索引，但现在的索引将显示为 index 列。如果我们想删除 index 列，我们可以在 reset_index() 方法中设置 drop=True。 import pandas as pd my_df = pd.DataFrame( { "Person": ["Alice", "Steven", "Neesham", "Chris", "Alice"], "City": ["Berlin", "Montreal", "Toronto", "Rome", "Munich"], "Mother Tongue": ["German", "French", "English", "Italian", "German"], "Age": [37, 20, 38, 23, 35], }, index=["A", "B", "C", "D", "E"], ) df_reset = my_df.reset_index(drop=True) print("Before reseting Index:") print(my_df, "\n") print("After reseting Index:") print(df_reset)输出： Before reseting Index: Person City Mother Tongue Age A Alice Berlin German 37 B Steven Montreal French 20 C Neesham Toronto English 38 D Chris Rome Italian 23 E Alice Munich German 35 After reseting Index: Person City Mother Tongue Age 0 Alice Berlin German 37 1 Steven Montreal French 20 2 Neesham Toronto English 38 3 Chris Rome Italian 23 4 Alice Munich German 35 使用 set_index() 方法删除 Pandas DataFrame 的索引pandas.DataFrame.set_index() 将把作为参数传递的列设置为 DataFrame 的索引，覆盖初始索引。 import pandas as pd my_df = pd.DataFrame( { "Person": ["Alice", "Steven", "Neesham", "Chris", "Alice"], "City": ["Berlin", "Montreal", "Toronto", "Rome", "Munich"], "Mother Tongue": ["German", "French", "English", "Italian", "German"], "Age": [37, 20, 38, 23, 35], }, index=["A", "B", "C", "D", "E"], ) df_reset = my_df.set_index("Person") print("Initial DataFrame:") print(my_df, "\n") print("After setting Person column as Index:") print(df_reset)输出： Initial DataFrame: Person City Mother Tongue Age A Alice Berlin German 37 B Steven Montreal French 20 C Neesham Toronto English 38 D Chris Rome Italian 23 E Alice Munich German 35 After setting Person column as Index: City Mother Tongue Age Person Alice Berlin German 37 Steven Montreal French 20 Neesham Toronto English 38 Chris Rome Italian 23 Alice Munich German 35它将 Person 列设置为 my_df DataFrame 的索引，覆盖了 DataFrame 的初始索引。 |
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