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我正在使用pandas創建一個python腳本來讀取具有多個行值的文件。一旦讀取,我需要構建這些值的數組,然後將其分配給數據幀行值。ProgrammingError:(psycopg2.ProgrammingError)無法調整類型'numpy.ndarray'
我用的代碼是
import re
import numpy as np
import pandas as pd
master_data = pd.DataFrame()
temp_df = pd.DataFrame()
new_df = pd.DataFrame()
for f in data:
##Reading the file in pandas which is in excel format
#
file_df = pd.read_excel(f)
filename = file_df['Unnamed: 1'][2]
##Skipping first 24 rows to get the required reading values
column_names = ['start_time','xxx_value']
data_df = pd.read_excel(f, names=column_names, skiprows=25)
array =np.array([])
for i in data_df.iterrows():
array = np.append(array,i[1][1])
temp_df['xxx_value'] = [array]
temp_df['Filename'] = filename
temp_df['sub_id']=
temp_df['Filename'].str.split('_',1).str[1].str.strip()
temp_df['sen_site']=
temp_df['Filename'].str.split('_',1).str[0].str.strip()
temp_df['sampling_interval'] = 15
temp_df['start_time'] = data_df['start_time'][2]
new_df= new_df.append(xxx_df)
new_df.index = new_df.index + 1
new_df=new_df.sort_index()
new_df.index.name='record_id'
new_df = new_df.drop("Filename",1) ##dropping the Filename as it
is not needed to be loaded in postgresql
##Rearrange to postgresql format
column_new_df = new_df.columns.tolist()
column_new_df.
insert(4,column_new_df.pop(column_new_df.index('xxx_value')))
new_df = new_df.reindex(columns = column_new_df)
print(new_df)
當我嘗試了數組數據插入到PostgreSQL中這個代碼是行不通的。它給我一個錯誤,說明 ProgrammingError:(psycopg2.ProgrammingError)不能適應類型'numpy.ndarray'
嗨,我有同樣的問題,並在尋找解決方案時遇到您的問題。因此,我認爲未來的其他人解決這個問題是有價值的。你能否修復你提供的代碼示例(縮進在'for f in data:'之後是錯誤的)?另外,哪一行是拋出錯誤? –