AttributeError: 'list' object has no attribute 'to_csv'

Question

I’m trying to save my merged dataframe into a CSV file. As soon as the code hits on the “data.to_csv” line, it breaks. My code is as follows:

import pandas as pd
import numpy as np
import os,errno
import glob


print ("Path has been read successfully")
path1 = glob.glob('S:*Data*Files*Raw Data*CPU*Perf*YesterdayDataset*.xlsx')
print (path1)
path2 = glob.glob("S:*Data*Files*Raw Data*CPU*Perf*CPUPerf_201920.csv")
print ("Path has been read successfully")
print ("Action has been completed successfully")

data = []

for df in path1:
    df = pd.read_excel(df)  
    data.append(df)

data.to_csv("H:\test1.csv", index = False)



def sremove():
    try:
        os.remove()
    except OSError as e:
        if e.errno != errno.ENOENT:
            raise

The error I’m receiving after executing this code is:

AttributeError: ‘list’ object has no attribute ‘to_csv’

Any help on that will be greatly appreciated. Thank you

Asked By: makman

||

Source

Answer 1

You’re trying to use to_csv() function on a list and not on a dataframe. You have to merge your x dataframes to a single dataframe before you generate a csv from it.

Try something like this :


import pandas as pd
import numpy as np
import os,errno
import glob


print ("Path has been read successfully")
path1 = glob.glob('S:*Data*Files*Raw Data*CPU*Perf*YesterdayDataset*.xlsx')
print (path1)
path2 = glob.glob("S:*Data*Files*Raw Data*CPU*Perf*CPUPerf_201920.csv")
print ("Path has been read successfully")
print ("Action has been completed successfully")

data = []

for df in path1:
    df = pd.read_excel(df)  
    data.append(df)


finaldf = pd.concat(data, axis=1, join='inner').sort_index()
finaldf.to_csv("H:\test1.csv", index = False)



def sremove():
    try:
        os.remove()
    except OSError as e:
        if e.errno != errno.ENOENT:
            raise

Answered By: Flo

Answer 2

your problem is that you have a list of data frames and you are calling to_csv on the whole list instead of the individual data frames. Two options here, if the list only has one data frame in it, use this code:

data[0].to_csv("H:\test1.csv", index = False)

if it has multiple data frames in it, do this:

for i in data:
    i.to_csv("filename", index = False)

bear in mind that for the second option you will need to make your filenames dynamic to avoid overwriting.

EDIT:

Misread your question. You need to actually merge the data frames

df1 = pd.read_excel(path1)
df2 = pd.read_execl(path2)

df = df1.merge(df2, how = 'inner', on = 'JoinField')
df.to_csv("H:\test1.csv", index = False)

Answered By: DBA108642

Answer 3

The problem is your data object is a list of the DataFrames. You can either convert the DataFrames individually, e.g. df.to_csv(...) or merge them together and output as one file.

Try changing this part:

data = []

for df in path1:
    df = pd.read_excel(df)  
    data.append(df)

data.to_csv("H:\test1.csv", index = False)

To this:

df = pd.concat(pd.read_excel(fl) for fl in path1)
df.to_csv("H:\test1.csv", index = False)

Answered By: r.ook

Answer 4

fwiw, I had a similar issue when attempting to create a copy of a dataframe.

df_copy = df[uids + ['id', 'name']].copy 
vs
df_copy = df[uids + ['id', 'name']].copy()

Leaving the "()" off of the function call resulted in a list of dataframes and I received the same error as OP

Answered By: pixelpixie

AttributeError: 'list' object has no attribute 'to_csv'

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