How to merge three different csv files into one Python Panda

Question

I am relativly new to Python and I have a question:
How can I merge the data from three different csv files?

csv1:
label

csv2:
timestamp

csv3:
start

I tried this:

    concate_data = pd.concat([label,timestamp,start])

It kinda works but the outcome is wrong. I got something like this:

label	timestamp	start
Eating	null	null
Eating	null	null
null	2012:02:02 12:00:01	null
null	null	1
null	null	0

How can I concat these three different csv files into one so that they look like the following?

label	timestamp	start
Eating	2012:02:02 12:00:01	1
Eating	2012:02:02 12:01:01	0
Eating	2012:02:02 12:01:01	0

Asked By: Dominic Pfeifer

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Source

Answer 1

All you need to do is add axis=1 to pd.concat

So, basically:

concate_data = pd.concat([label,timestamp,start], axis=1)

Example Code:

import pandas as pd

# initialize list elements
data = [10,20,30,40,50,60]
# Create the pandas DataFrame with column name is provided explicitly
df = pd.DataFrame(data, columns=['Numbers'])
print(df)

concate_data = pd.concat([df,df,df], axis=1)
print(concate_data)

Answered By: Shashwat

Answer 2

If I understand it right, you don’t want to concat vertically but horizontally. Right?

Try this:

concate_data = pd.concat([label,timestamp,start], axis=1)

Answered By: Costas

How to merge three different csv files into one Python Panda

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