Reputation: 2299
I have multiple csv files that I would like to combine into one df.
They are all in this general format, with two index columns:
1 2
CU0112-005287-7 Output Energy, (Wh/h) 0.064 0.066
CU0112-005287-7 Lights (Wh) 0 0
1 2
CU0112-001885-L Output Energy, (Wh/h) 1.33 1.317
CU0112-001885-L Lights (Wh) 1.33 1.317
and so on...
The combined df would be:
1 2
CU0112-005287-7 Output Energy, (Wh/h) 0.064 0.066
CU0112-005287-7 Lights (Wh) 0 0
CU0112-001885-L Output Energy, (Wh/h) 1.33 1.317
CU0112-001885-L Lights (Wh) 1.33 1.317
I am trying this code:
import os
import pandas as pd
import glob
files = glob.glob(r'2017-12-05\Aggregated\*.csv') //folder which contains all the csv files
df = pd.merge([pd.read_csv(f, index_col=[0,1])for f in files], how='outer')
df.to_csv(r'\merged.csv')
But I am getting this error:
TypeError: merge() takes at least 2 arguments (2 given)
Upvotes: 1
Views: 7775
Reputation: 1721
A simple way:
Creating a list with the names of csvs:
files=listdir()
csvs=list()
for file in files:
if file.endswith(".csv"):
csvs.append(file)
concatenate the csvs:
data=pd.DataFrame()
for i in csvs:
table=pd.read_csv(i)
data=pd.concat([data,table])
Upvotes: 0
Reputation: 1631
You can try the following. I made some changes to the DataFrame combining logic
import os
import pandas as pd
import glob
files = glob.glob(r'2017-12-05\Aggregated\*.csv') //folder which contains all the csv files
df = reduce(lambda df1,df2: pd.merge(df1,df2,on='id',how='outer'),[pd.read_csv(f, index_col=[0,1])for f in files] )
df.to_csv(r'\merged.csv')
Upvotes: 0