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python - Specifying data type in Pandas csv reader

I am just getting started with Pandas and I am reading in a csv file using the read_csv() method. The difficulty I am having is preventing pandas from converting my telephone numbers to large numbers, instead of keeping them as strings. I defined a converter which just left the numbers alone, but then they still converted to numbers. When I changed my converter to prepend a 'z' to the phone numbers, then they stayed strings. Is there some way to keep them strings without modifying the values of the fields?

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Since Pandas 0.11.0 you can use dtype argument to explicitly specify data type for each column:

d = pandas.read_csv('foo.csv', dtype={'BAR': 'S10'})

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