用来生成DataFrame数据
1.说明：
class pandas.DataFrame(data=None, index=None, columns=None, dtype=None, copy=False)
Two-dimensional size-mutable, potentially heterogeneous tabular data structure with labeled axes (rows and columns). Arithmetic operations align on both row and column labels. Can be thought of as a dict-like container for Series objects. The primary pandas data structure.
| Parameters: |
data : numpy ndarray (structured or homogeneous), dict, or DataFrame
index : Index or array-like
columns : Index or array-like
dtype : dtype, default None
copy : boolean, default False
|
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代码：
1 import tensorflow 2 import lightgbm as lgb 3 import pandas as pd 4 import numpy as np 5 6 class Deng(object): 7 def __init__(self): 8 pass 9 10 def main(self): 11 temp = [‘a‘, ‘a‘, ‘b‘, ‘c‘, ‘c‘] 12 st = pd.Categorical(temp) 13 print(st) 14 # [a, a, b, c, c] 15 # Categories(3, object): [a, b, c] 16 17 # 遍历temp指出temp中每个字符所属类别的位置索引 18 st2 = st.codes 19 print(st2) 20 # [0 0 1 2 2] 21 22 def gen_data(self): 23 df = pd.DataFrame(data=np.eye(3), columns=[‘c1‘, ‘c2‘, ‘c3‘]) 24 print(df) 25 26 27 if __name__ == ‘__main__‘: 28 obj = Deng() 29 obj.gen_data()
输出：
c1 c2 c3
0 1.0 0.0 0.0
1 0.0 1.0 0.0
2 0.0 0.0 1.0
原文：https://www.cnblogs.com/demo-deng/p/9614489.html