October 2018
Beginner to intermediate
676 pages
18h 30m
English
Content preview from Matplotlib 3.0 Cookbook
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How it works...
Here is the explanation for the code:
- pd.read_excel() reads the Excel file into a pandas DataFrame.
- np.asarray() converts a DataFrame into a NumPy array, as required for further processing. It is a 20 x 7 matrix.
- np.abs() returns absolute values of the matrix that is given as input.
- np.abs(matrix).max() returns the maximum value from an absolute matrix.
- np.log() returns a natural logarithmic value of the argument that is passed.
- np.ceil() rounds up the argument to the next highest value for a given floating point number, for example np.ceil(2.2) = 3.0.
- ax.patch.set_facecolor('gray') sets the color of each of the box points to gray.
- ax.set_aspect('equal', 'box') specifies the aspect ratio (the ratio of width to height) and ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.