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[Solved] Python Pandas: Name: name is not defined

Hello Guys, How are you all? Hope You all Are Fine. Today I get the following error Python Pandas: Name: name is not defined in python. So Here I am Explain to you all the possible solutions here.

Without wasting your time, Let’s start This Article to Solve This Error.

How Python Pandas: Name: name is not defined Error Occurs?

Today I get the following error Python Pandas: Name: name is not defined in python.

How To Solve Python Pandas: Name: name is not defined this Error ?

  1. How To Solve Python Pandas: Name: name is not defined this Error ?

    To Solve Python Pandas: Name: name is not defined this Error NameError is a Python exception and is not related to Pandas in this case. You can get exactly the same error by trying to use any name which the interpreter doesn't know about:

  2. Python Pandas: Name: name is not defined

    To Solve Python Pandas: Name: name is not defined this Error NameError is a Python exception and is not related to Pandas in this case. You can get exactly the same error by trying to use any name which the interpreter doesn't know about:

Solution 1

The first thing you need to understand is the error message you are seeing:

NameError is a Python exception and is not related to Pandas in this case. You can get exactly the same error by trying to use any name which the interpreter doesn’t know about:

>>> b = a
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
NameError: name 'a' is not defined

It is important to know that very few Python commands will “magically” create names. To create a name, you would almost always need an assignment (name = ...). So as a general rule if you you haven’t done this, name will not exist. In your code, the name you have created is df, so you will need to go through that to get to your data.

You can use two different ways to access the data in the dataframe, which are equivalent: df['user_agent_string'] or df.user_agent_string. I recommend trying this out in an interactive environment so that you can see the results before passing it to a function.

I’m also going to guess that your function parseDeviceType only does this for one string (based on the comments), but you want to call this function on every item in your file. To do this you would need apply:

parsed_types = df.user_agent_string.apply(parseDeviceType)

To access columns by number instead of name (which I don’t recommend), you can use iloc. This allows you to access all the rows (:) and the first colum (0) from the dataframe object:

user_agent_string = df.iloc[:, 0]

Solution 2

Import pandas package to read data

import pandas as pd 

df = pd.read_csv('user_agent_strings', index_col=None, na_values=['NA'],sep=',')

Summery

It’s all About this issue. Hope all solution helped you a lot. Comment below Your thoughts and your queries. Also, Comment below which solution worked for you? Thank You.

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