如何在python中調用多個函數

Question

由於某種原因，當我一次調用所有四個函數時，新命名的數據幀出現錯誤。 特別是我要填充的空數據框。 不知道為什么。 我試圖將所有空的數據框移到函數外部，但這沒有用。 任何幫助表示贊賞。

第一個函數有效（FID_extract1_to_9），但最后三個不起作用。

錯誤：

new_dfa [colname] = selected_data

NameError：全局名稱“ new_dfa”未定義

import glob
import pandas as pd
import os

os.chdir('C:/Users/Joey/Desktop/GC_results')


def FID_extract1_to_9(filepath):

    path_pattern = filepath
    files = glob.glob(path_pattern) #finds all files with ending in 00* in the file path
    dataframes = [pd.DataFrame.from_csv(f, index_col=None) for f in files] 

    new_df = pd.DataFrame()

    for i, df in enumerate(dataframes):
        colname = 'Run {}'.format(i+1)
        selected_data = df['Unnamed: 3'].ix[12:16]  
        new_df[colname] = selected_data
    print new_df 
    new_df.to_csv('FID_11169_liquid.csv') #Enter name of output file here



def FID_extract9_to_96(filepath):

    path_pattern = filepath
    files = glob.glob(path_pattern)
    dataframes = [pd.DataFrame.from_csv(f, index_col=None) for f in files]

    new_dfa = pd.DataFrame()

    for i, df in enumerate(dataframes):
        colname = 'Run {}'.format(i+1)
        selected_data = df['Unnamed: 3'].ix[12:16]  
        new_dfa[colname] = selected_data
    print new_dfa 
    new_dfa.to_csv('FID_11169_Liquid.csv') 



def TCD_extract1_to_9(filepath):

    path_pattern = filepath
    files = glob.glob(path_pattern)
    dataframes = [pd.DataFrame.from_csv(f, index_col=None) for f in files]

    new_dfb = pd.DataFrame()

    for i, df in enumerate(dataframes):
        colname = 'Run {}'.format(i+1)
        selected_data = df['Unnamed: 3'].ix[12:16]  
        new_df[colname] = selected_data
    print new_dfb 
    new_dfb.to_csv('TCD_11169_liquid.csv') 



def TCD_extract9_to_96(filepath):

    path_pattern = filepath
    files = glob.glob(path_pattern)
    dataframes = [pd.DataFrame.from_csv(f, index_col=None) for f in files]

    new_dfc = pd.DataFrame()

    for i, df in enumerate(dataframes):
        colname = 'Run {}'.format(i+1)
        selected_data = df['Unnamed: 3'].ix[12:16]  
        new_dfa[colname] = selected_data
    print new_dfc 
    new_dfc.to_csv('TCD_11169_Liquid.csv') 



FID_extract1_to_9('C:/Users/Joey/Desktop/Cryostat Verification/GC results/11169_Cryo_1bar/FID_00*') #files directory

FID_extract9_to_96('C:/Users/Joey/Desktop/Cryostat Verification/GC results/11169_Cryo_1bar/FID_0*')

TCD_extract1_to_9('C:/Users/Joey/Desktop/Cryostat Verification/GC results/11169_Cryo_1bar/TCD_00*')

TCD_extract9_to_96('C:/Users/Joey/Desktop/Cryostat Verification/GC results/11169_Cryo_1bar/TCD_0*')

Answer 1

您的函數def TCD_extract1_to_9(filepath)有一個基本語法錯誤，您聲明new_dfb = pd.DataFrame()但隨后使用new_df[colname] = selected_data 。

在最后一個函數def TCD_extract9_to_96(filepath)您聲明new_dfc = pd.DataFrame() ，然后使用new_dfa[colname] = selected_data 。

因此，您需要更正此問題。

Answer 2

只是一個建議，如果您的輸出將是csv，則您的代碼看起來很復雜。 只需使用csv模塊，導入csv。

with open("path to save", "wb") as f:
writer = csv.writer(f)
writer.writerows("the data")

這很容易，並且不會出錯。