Python-如何使用不同的文件名保存CSV文件？

Question

I have 5 DataFrame with columns 'day' , 'number' , 'id' , 'recordDay' , and I put all the 5 dataframes in a dictionary . I would like to save 5 dataframes in 5 CSV files with file names based on 'id' and 'recordDay' . Here's the example of dataframe1 and dataframe2

df1                                       df2
     day     number   id   recordDay         day     number   id    recordDay
2017-03-21     17      1   1990-01-01     2016-03-21    6      2   1991-02-01
2017-03-22     19      1   1990-01-01     2016-03-22    8      2   1991-02-01
2017-03-23     21      1   1990-01-01     2016-03-23   10      2   1991-02-01

Is it possible to save 5 CSV files with file names like this, 'id_1_1991_01_01.csv' , 'id_2_1991_02_01.csv' , 'id_3_1991_03_01.csv' , 'id_4_1991_04_01.csv' , 'id_5_1991_05_01.csv' Or 'id_1.csv' ... 'id_5.csv' would be better?

I used the following code, but it only saved one CSV file.

pd.concat(df_dict).to_csv('data.csv', index = False, data_format = '%Y-%m-%d)

Answer 1

Iterate over the dictionary - using .iloc[] to get the recordID and id values for the name.

df1 = pandas.DataFrame(numpy.random.randn(3, 4), columns=[["day", "number", "id", "recordDay"]])
df2 = pandas.DataFrame(numpy.random.randn(3, 4), columns=[["day", "number", "id", "recordDay"]])
df3 = pandas.DataFrame(numpy.random.randn(3, 4), columns=[["day", "number", "id", "recordDay"]])

df_dict={"data_frame1":df1, "data_frame2": df2, "data_frame3": df3}

for name, df in df_dict.items():
    #get the id and recordDay values from each df
    df_id=df['id'].iloc[0]
    df_record_day=df['recordDay'].iloc[0]

    #generate a unique file name based on the id and record
    file_name="id_"+str(df_id)+"_"+str(df_record_day)+".csv"

    #create the CSV
    df.to_csv(file_name, index = False, data_format = '%Y-%m-%d')

Or you can use a list of arrays instead of a dictionary

df_list=[df1, df2, df3]

for df in df_list:
    #get the id and recordDay values from each df
    df_id=df['id'].iloc[0]
    df_record_day=df['recordDay'].iloc[0]

    #generate a unique file name based on the id and record
    file_name="id_"+str(df_id)+"_"+str(df_record_day)+".csv"

    #create the CSV
    df.to_csv(file_name, index = False, data_format = '%Y-%m-%d')