multiheader pandas dataframe

Question

是否可以使用pandas.DataFrame复制此csv的结构？

所有数据被从一个HDF5文件拉出，然后解析出的属性到pd.DataFrame

我担心是该meta header和meta data（线1和2在CSV ）不符合attribute header和attribute data的长度或形状。

这里是我叫pd.DataFrame：

# Meta Pandas DataFrame 
    meta_df = pd.DataFrame(index=range(0, 8760, 24), columns=['source', 'location_id', 'state', 'country', 'latitude', 
                   'longitude', 'time_zone', 'elevation', 'clearsky_dhi', 
                   'clearsky_dni', 'clearsky_ghi', 'dewpoint_unit', 
                   'temperature_unit']) 
    # Meta Header & Data 
    meta_df['source'] = source 
    meta_df['location_id'] = location_id 
    meta_df['state'] = state 
    meta_df['country'] = country 
    meta_df['latitude'] = latitude 
    meta_df['longitude'] = longitude 
    meta_df['time_zone'] = local_time 
    meta_df['elevation'] = elevation 
    meta_df['clearsky_dhi'] = clearsky_dhi 
    meta_df['clearsky_dni'] = clearsky_dni 
    meta_df['clearsky_ghi'] = clearsky_ghi 
    meta_df['dewpoint_unit'] = dewpoint_unit 
    meta_df['temperature_unit'] = temperature_unit 

    # Attribute Pandas DataFrame 
    att_df = pd.DataFrame(index=range(0, 8760, 24), columns=['dhi', 'dni', 'ghi', 'source', 'dew_point', 'temperature']) 

    # Attribute Header & Data 
    att_df['year'] = year 
    att_df['month'] = month 
    att_df['day'] = day 
    att_df['hour'] = hour 
    att_df['minute'] = minute 
    att_df['dhi'] = dhi 
    att_df['dni'] = dni 
    att_df['ghi'] = ghi 
    att_df['dew_point'] = dew_point 
    att_df['temperature'] = temperature 

    # Make one DataFrame with multiple headers? 
    # Do something, then export to csv. 
    df.to_csv(ndir_root + ndir + '/' + fname + '.csv', index=False) 

是它最好创建两个单独的dataframes，然后将它们堆叠垂直创建第三个数据帧并导出最终为CSV？

bueller？

Answer 1

我认为你可以通过.to_csv（）来做到这一点，因为这个方法接受一个文件路径（如你所做的）或缓冲区。我假设你知道元标题，元数据和属性标题字符串的顺序，所以你可以选择如何将它们写入文件。下面列出了您缺少的作品。

with open('output.csv','w') as fid: 
    # write your meta header etc., here assumed to be a list of strings 
    fid.write(','.join(meta_header) + '\n') 
    fid.write(','.join(meta_data) + '\n') 
    fid.write(','.join(attribute_header) + '\n') 

    # now write attr_df to a csv by passing data to your fid buffer 
    attr_df.to_csv(fid, sep=',', header=False, index=False)