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Df.values returns a numpy array with the underlying data of the dataframe, without any index or columns names Core values, also called personal values, are specifically what’s most important to you. [:, 1:] is a slice of that array, that returns all rows and every column starting from the second column
(the first column is index 0) Values represent what’s important—that is, what a person, organization, culture, or society emphasizes Pandas.dataframe.values # property dataframe.values [source] # return a numpy representation of the dataframe.
The values statement consists of the values keyword followed by a list of one or more row constructors, separated by commas
A row constructor consists of the row() row constructor clause with a value list of one or more scalar values enclosed in the parentheses. Definition and usage the values property returns all values in the dataframe When telling others what your personal values are, make sure you state examples of personal values that are genuinely reflective of yourself, not just ones that you think sound good. Below is a list of core values commonly used by leadership institutes and programs
This list is not exhaustive, but it will give you an idea of some common core values (also called personal values). What are core values and why do they matter Our personal core values are the guiding principles that shape our actions, decisions, and behavior in various aspects of our lives Values are the principles you view as important to live by and see as having worth
A belief can be a core value, but values are not necessarily core beliefs
For example, christianity can be both a belief and a value However, courage is a value, not a belief It’s a trait rather than an ideology. Living into our values means that we do more than profess our values, we practice them
We walk our talk—we are clear about what we believe and hold important, and we take care that our intentions, words, thoughts, and behaviors align with those beliefs.
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