Question

是否可以使用pandas.DataFrame？

复制此csv的结构

从一个HDF5文件中提取所有数据，然后将属性解析为pd.DataFrame

我的疑虑是meta header和meta data（csv中的第1行和第2行）与attribute header和attribute data不匹配长度或形状。

以下是我致电pd.DataFrame：

的方法

    # 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)

最好是创建两个单独的数据帧然后垂直堆叠以创建第三个数据帧并将最后一个导出为csv吗？

bueller？

Answer 1

我认为您可以通过.to_csv（）执行此操作，因为此方法接受文件路径（如您所做）或缓冲区。我假设您知道元标题，元数据和属性标题字符串的顺序，因此您可以选择将这些字符串写入文件的方式。您缺少的部分如下所示。

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)

多头大熊猫数据帧

1 个答案: