Question

我想编写一段代码来创建多个dataFrame数组，其名称格式为word_0000，其中四位数字是月份和年份。我想要做的一个例子是创建以下数据帧：

df_0115, df_0215, df_0315, ... , df_1215
stat_0115, stat_0215, stat_0315, ... , stat_1215

Answer 1

我建议您创建一个字典来保存DataFrames。这样，您就可以使用month-day键对其进行索引：

import datetime as dt 
import numpy as np
import pandas as pd

dates_list = [dt.datetime(2015,11,i+1) for i in range(3)]
month_day_list = [d.strftime("%m%d") for d in dates_list]

dataframe_collection = {} 

for month_day in month_day_list:
    new_data = np.random.rand(3,3)
    dataframe_collection[month_day] = pd.DataFrame(new_data, columns=["one", "two", "three"])

for key in dataframe_collection.keys():
    print("\n" +"="*40)
    print(key)
    print("-"*40)
    print(dataframe_collection[key])

上面的代码打印出以下结果：

========================================
1102
----------------------------------------
        one       two     three
0  0.896120  0.742575  0.394026
1  0.414110  0.511570  0.268268
2  0.132031  0.142552  0.074510

========================================
1103
----------------------------------------
        one       two     three
0  0.558303  0.259172  0.373240
1  0.726139  0.283530  0.378284
2  0.776430  0.243089  0.283144

========================================
1101
----------------------------------------
        one       two     three
0  0.849145  0.198028  0.067342
1  0.620820  0.115759  0.809420
2  0.997878  0.884883  0.104158

Answer 2

df将具有您需要的所有CSV文件。 df[0]访问第一个

df=[]    
files = glob.glob("*.csv")
    for a in files:
        df.append( pd.read_csv(a))

如何在Python中创建数据帧数组

2 个答案: