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<strong>1. What does .values[:,0] represent in the following code :</strong><br><br>Values representing a numpy array with values of pandas data frame.<br><br>[:,0] is the first column of the numpy Array.
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1. What does .values[:,0] represent in the following code :

Values representing a numpy array with values of pandas data frame.

[:,0] is the first column of the numpy Array.

pepr

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<strong>2. What does [0,24,51] represent ?</strong><br><br>For pandas dataframe df.drop([0,24,51], suppress lines 0,24,51<br><br>example<br><pre><code class="code-1 nolinks" id="code-20-43085705-1">&gt;&gt;&gt; df.drop([0, 1])
   A  B   C   D
2  8  9  10  11</code></pre>
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2. What does [0,24,51] represent ?

For pandas dataframe df.drop([0,24,51], suppress lines 0,24,51

example


>>> df.drop([0, 1])
   A  B   C   D
2  8  9  10  11

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It does not come from plain Python. Python knows <em>slicing</em>; however, that one is related to NumPy where slicing can be more complex. I am not good at NumPy, so take the following as starting point<br><br><a href="https://numpy.org/doc/1.18/user/basics.indexing.html?highlight=slice" rel="ugc">https://numpy.org/doc/1.18/user/basics.indexing.html?highlight=slice</a>
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It does not come from plain Python. Python knows slicing; however, that one is related to NumPy where slicing can be more complex. I am not good at NumPy, so take the following as starting point

https://numpy.org/doc/1.18/user/basics.indexing.html?highlight=slice [https://numpy.org/doc/1.18/user/basics.indexing.html?highlight=slice]

Simon Leung

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1. What does .values[:,0] represent in the following code :<br />
<br />
print(Using Column Data Type::&quot; )<br />
print(df.select_dtypes(inc<wbr />lude=['flo<wbr />at64']).va<wbr />lues[:,0] )<br />
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2. What does [0,24,51] represent :<br />
<br />
print(Excluding Specific Row indices::&quot; )<br />
print(df.drop([0,24,51], axis=0).head())
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1. What does .values[:,0] represent in the following code :

print(Using Column Data Type::" )
print(df.select_dtypes(include=['float64']).values[:,0] )

2. What does [0,24,51] represent :

print(Excluding Specific Row indices::" )
print(df.drop([0,24,51], axis=0).head())

Python code query

Python is a widely used general-purpose, high-level programming language. Its design philosophy emphasizes code readability, and its syntax allows programmers to express concepts in fewer lines of code than would be possible in other languages. Python supports multiple programming paradigms, including object-oriented, imperative and functional programming or procedural styles. It features a dynamic type system and automatic memory management and has a large and comprehensive set of standard libraries, including NumPy, SciPy, Django, PyQuery, and PyLibrary.