Python将数据移动到新的R

Question

我无法以正确的格式将数据加载到数据帧中

我处理的数据的格式如下：

Sensor Name,Variable,Units,Timestamp,Value,Flagged as Suspect Reading
PER_EMOTE_2202,CO,ugm -3,2019-02-15 15:46:16,476.634102929914,False
PER_EMOTE_2202,Humidity,%,2019-02-15 15:46:16,49.8,False
PER_EMOTE_2202,NO,ugm -3,2019-02-15 15:46:16,68.5581902781,False
PER_EMOTE_2202,NO2,ugm -3,2019-02-15 15:46:16,80.220623065752,False
PER_EMOTE_2202,Sound,db,2019-02-15 15:46:16,69.0,False
PER_EMOTE_2202,Temperature,Celsius,2019-02-15 15:46:16,13.2,False
PER_EMOTE_2202,CO,ugm -3,2019-02-15 15:47:16,475.363796635848,False
PER_EMOTE_2202,NO,ugm -3,2019-02-15 15:47:16,84.7920567981415,False
PER_EMOTE_2202,NO2,ugm -3,2019-02-15 15:47:16,82.3021250062142,False
PER_EMOTE_2202,Sound,db,2019-02-15 15:47:16,69.0,False

我想把它加载到表示每个变量值的列中，按时间戳索引

例如：Desired Format

到目前为止，我有以下几点：

def load_data(path):

    df = pd.read_csv(path, usecols=['Timestamp', 'Variable', 'Units', 'Value'])
    df = df.set_index('Timestamp')

    return df

这就产生了结果Result

Answer 1

尝试使用pivot tables

def load_data(path):

    df = pd.read_csv(path, usecols=['Timestamp', 'Variable', 'Units', 'Value'])
    df = df.pivot_table(index='Timestamp', columns='Variable', values='Value')

    return df