normalization

Normalize input data frame into separate frames

Normalize input data frame into separate frames Question: I’m trying to create a python script to help me normalize my database. I’ve written up some example code. I’m trying to check if dataArray exists in df1, under the names of the columns columArray if it does exist, return the ID of the row (1 would …

Total answers: 2

How do I normalize the pixel value of an image to 0~1?

How do I normalize the pixel value of an image to 0~1? Question: The type of my train_data is ‘Array of unit 16‘. The size is (96108,7,7). Therefore, there are 96108 images. The image is different from the general image. My image has a sensor of 7×7 and 49 pixels contain the number of detected …

Total answers: 3

What normalization means in value_counts()

What normalization means in value_counts() Question: The question is not about coding but to understand what normalize means in terms of statistics and correlation of data This is an example of what I am doing. Without normalization: plt.subplot(111) plt.plot(df[‘alcoholism’].value_counts(), marker=’o’) plt.plot(df.query(‘no_show =="Yes"’)[‘alcoholism’].value_counts(), color=’black’) plt.show(); With normalization: plt.subplot(111) plt.plot(df[‘alcoholism’].value_counts(normalize=True), marker=’o’) plt.plot(df.query(‘no_show =="Yes"’)[‘alcoholism’].value_counts(normalize=True), color=’black’) plt.show(); Which one …

Total answers: 1

Difference between Normalizer and MinMaxScaler

Difference between Normalizer and MinMaxScaler Question: I’m trying to understand the effects of applying the Normalizer or applying MinMaxScaler or applying both in my data. I’ve read the docs in SKlearn, and saw some examples of use. I understand that MinMaxScaler is important (is important to scale the features), but what about Normalizer? It keeps …

Total answers: 2

How to remove hebrew niqqud from a string in python?

How to remove hebrew niqqud from a string in python? Question: given a string s, I want a method to return a string s’ which contains all of the chars in s except the ones which are hebrew niqqud. for example: “שָׁלוֹם” will become “שלום”. Asked By: Amit Keinan || Source Answers: this method can …

Total answers: 2

Denormalization of output from neural network

Denormalization of output from neural network Question: I have used the MinMax normalization in order to normalize my dataset, both features and label. My question is, it’s correct to normalize also the label? If yes, how can I denormalize the output of the neural network (the one that I predict with the test set that …

Total answers: 1

How to normalize a non-normal distribution?

How to normalize a non-normal distribution? Question: I have the above distribution with a mean of -0.02, standard deviation of 0.09 and with a sample size of 13905. I am just not sure why the distribution is is left-skewed given the large sample size. From bin [-2.0 to -0.5], there are only 10 sample count/outliers …

Total answers: 2

Data Standardization vs Normalization vs Robust Scaler

Data Standardization vs Normalization vs Robust Scaler Question: I am working on data preprocessing and want to compare the benefits of Data Standardization vs Normalization vs Robust Scaler practically. In theory, the guidelines are: Advantages: Standardization: scales features such that the distribution is centered around 0, with a standard deviation of 1. Normalization: shrinks the …

Total answers: 2

Save MinMaxScaler model in sklearn

Save MinMaxScaler model in sklearn Question: I’m using the MinMaxScaler model in sklearn to normalize the features of a model. training_set = np.random.rand(4,4)*10 training_set [[ 6.01144787, 0.59753007, 2.0014852 , 3.45433657], [ 6.03041646, 5.15589559, 6.64992437, 2.63440202], [ 2.27733136, 9.29927394, 0.03718093, 7.7679183 ], [ 9.86934288, 7.59003904, 6.02363739, 2.78294206]] scaler = MinMaxScaler() scaler.fit(training_set) scaler.transform(training_set) [[ 0.49184811, 0. , …

Total answers: 5

matplotlib imshow – default colour normalisation

matplotlib imshow – default colour normalisation Question: I have consistently had problems with my colour maps when using imshow, some colours seem to just become black. I have finally realised that imshow seems to, by default, normalise the matrix of floating point values I give it. I would have expected an array such as [[0,0.25],[0.5,0.75]] …

Total answers: 1