可以將列名放入列表中，然后循環(huán)以更改每列的類型。import pandas as pd

import numpy as np

# create example dataframe

cats = ['A', 'B', 'C', 'D', 'E']

int_matrix = np.random.randint(10, size=(7,5))

df = pd.DataFrame(data = int_matrix, columns=cats)

print("Original example data\n")

print(df)

print(df.dtypes)

# get column names of data frame in a list

col_names = list(df)

print("\nNames of dataframe columns")

print(col_names)

# loop to change each column to category type

for col in col_names:

df[col] = df[col].astype('category',copy=False)

print("\nExample data changed to category type")

print(df)

print(df.dtypes)

這個(gè)小程序的輸出是：Original example data

A B C D E

0 0 4 9 2 9

1 2 5 2 4 1

2 1 1 0 5 7

3 1 2 5 4 0

4 9 2 6 5 3

5 3 3 2 1 7

6 6 0 8 7 3

A int32

B int32

C int32

D int32

E int32

dtype: object

Names of dataframe columns

['A', 'B', 'C', 'D', 'E']

Example data changed to category type

A B C D E

0 0 4 9 2 9

1 2 5 2 4 1

2 1 1 0 5 7

3 1 2 5 4 0

4 9 2 6 5 3

5 3 3 2 1 7

6 6 0 8 7 3

A category

B category

C category

D category

E category

dtype: object

總結(jié)

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