CODEWITHSUNDEEP
pythonpandasdataframe
PineNuts0
PineNuts0

Reputation: 5234

Python: Convert dataframe into a list with string items inside list

I currently have code that reads in an Excel table (image below): 

# Read in zipcode input file

us_zips = pd.read_excel("Zipcode.xls")
us_zips

enter image description here

I use the following code to convert the dataframe zip codes into a list: 

us_zips = list(us_zips.values.flatten())

When I print us_zips it looks like this:

[10601, 60047, 50301, 10606]

...but I want it to look like this ["10601", "60047", "50301", "10606"]

How can I do that? *Any help is greatly appreciated

Upvotes: 25

Views: 56441

Answers (3)

Anna Christiane Kolandjian
Anna Christiane Kolandjian

Reputation: 304

After creating your list you can simply do the following to convert all your list elements to strings:

us_zips = [str(i) for i in us_zips]

Complete code:

df = pd.DataFrame()
df["x"] = [10601, 60047, 50301, 10606]
us_zips = list(df["x"].values.flatten())
print(us_zips)
us_zips = [str(i) for i in us_zips]
print(us_zips)

Results:

[10601, 60047, 50301, 10606]
['10601', '60047', '50301', '10606']

Upvotes: 0

Tom Hale
Tom Hale

Reputation: 46745

It worked for me without .values():

list = df[col_name].astype(str).tolist()

Upvotes: 10

EdChum
EdChum

Reputation: 393883

You can just cast the column dtype using astype(str) and then convert to list using .values.tolist(), this returns a numpy array using .values which has a member function to convert this to a list:

In [321]:
us_zips['zipcode'].astype(str).values.tolist()

Out[321]:
['10601', '60047', '50301', '10606']

Upvotes: 30

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