Question

我正在尝试执行以下代码：

data = pd.read_csv('statistic.csv', parse_dates=True, index_col=['DATE'], 
low_memory=False, nrows=5000000)
data_extracted = data.groupby(['DATE','ARTICLENO'])['QUANTITY'].sum().unstack()

data_extracted = data_extracted.loc['2015-01-01' : '2015-12-31']

data_extracted = data_extracted.replace([np.inf, -np.inf], 
np.nan).fillna(0.0001)
data_pct_change = data_extracted.pct_change(axis=0).replace([np.inf, - 
np.inf], np.nan).fillna(0)
data_pct_change.drop([col for col, val in data_pct_change.sum() if val == 0 
], axis=1, inplace=True)

执行此操作时，出现TypeError：/的不支持的操作数类型：'str'和'str'。当我尝试执行data_extracted['ARTICLENO] = data_extracted['ARTICLENO'].astype(float)时，出现相同的错误。当我打印data_extracted.dtypes时，它们都是浮动的。有人可以帮我吗？

Answer 1

我认为需要将非数值转换为NaN：

data_extracted['ARTICLENO'] = pd.to_numeric(data_extracted['ARTICLENO'], errors='coerce')

熊猫pct_change不支持的操作数/用于str和float

1 个答案: