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The design of systems that support the process of decision making and action, such as the components required for safe vehicle operation, is an important subject. For this reason, a development process in the area of adaptive and multimodal systems and interfaces has been developed. This is based on an integration of engineering and psychology, encompassing both process and perceptual issues. The vision and the design process represent the technical foundations. The perceptual and cognitive theories that are relevant to multimodal and multimodal systems are the elements that guide the process.). Our data suggest that the interaction between the S-domain and the middle region in VSG1 is needed for stable anchoring, but are not sufficient to allow VSG2 assembly as efficiently as VSG1. This hypothesis is consistent with our recent findings that the N-terminal region of VSG1 can also bind to the S-domain [@pone.0015756-Fang1].

As mentioned above, differences in VSG1 and VSG2 genes can explain the slower VSG2 assembly rate of the ΔN2 mutant in contrast to the WT strains, the ΔN2ΔF mutant and the ΔN2ΔN3 mutant. ΔF and ΔN3 encode smaller proteins of 111 and 90 amino acids, respectively. The smaller size, less positive charges and/or a less hydrophilic nature of the ΔF and ΔN3 proteins might contribute to the less efficient VSG2 anchoring.

The VSG2-anchoring step in our

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Replacing n values in pandas dataframe

I have a DataFrame where some of the columns have 1’s and 0’s in them and I am trying to replace the ones that are all 0’s with -1.
Code
x_train = pd.DataFrame({‘A’:[0,0,1,0,0,0], ‘B’:[1,1,0,0,0,1], ‘C’:[0,1,0,0,1,0], ‘D’:[0,0,1,0,1,1]})

Code
x_train[‘A’] = np.where(x_train[‘A’]==0, -1, x_train[‘A’])

I am getting this error:
ValueError: could not convert string to float: -1

I can’t seem to figure out how to get around this issue, any ideas?

You could use boolean indexing with DataFrame.loc. To solve your issue use:
x_train.loc[(x_train[‘A’] == 0).all(axis=1), ‘A’] = -1

print (x_train)
A B C D
0 1 1 0 0
1 0 1 0 0
2 -1 0 -1 -1
3 -1 -1 1 0
4 0 0 0 -1
5 0 1 0 1

If want replace column by subtraction, use DataFrame.sub:
x_train[‘A’] = x_train[‘A’].sub(1)
print (x_train)
A B C D
0 1 1 0 0
1 0 1 0 0
2 -1 0 -1 -1
3 -1 -1 1 0
4 0 0 0 1
5 0 1 0 1

Or:
x_train = x_train.sub(1)
print (x_train)
A B
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