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Crysis 2 For Windows []. English []. French []. German []. Italian [].Q:
Error reading data from pandas dataframe
I have a dataframe with columns „userid“, „IP“, „session“, „devices.regarded“ and „users.distinct“
When I try to read the data from this dataframe using a code like this:
df = pd.read_csv(‚./data/ip.csv‘)
I get the error:
ValueError: could not convert string to float:
COCOSO.07_05-18
It is not possible to convert this string to a float so I’m looking for a way to turn this into a string. I tried some solutions like stripping non-numerical character, but I still don’t manage to change this error.
The file contains the data below:
userid,IP,session,devices.regarded,users.distinct
1,10.0.0.20,400,1,1
2,10.0.0.19,400,1,1
A:
replace multiple spaces (\s+) in IP column with one space (^) and you should be good to go:
‚^IP^‘
df = pd.read_csv(‚./data/ip.csv‘, sep=’^‘, header=None, names=[‚userid‘, ‚IP‘,’session‘, ‚devices.regarded‘, ‚users.distinct‘], skiprows=1, squeeze=True)
Effects of recombinant human cytokines on hematopoietic cell line growth.
Using a large panel of recombinant human cytokines, the effects of these cytokines on cell proliferation and cell differentiation of hematopoietic cell lines were examined and compared. Of the cytokines tested, interleukin-2 (IL-2) and interleukin-3 (IL-3) stimulated all the cell lines tested, whereas the other cytokines did not stimulate them. The effects were
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