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NumPy Reference: Indexing Integer array indexing Boolean array indexing Note: The expression a < mean produces a boolean array, like: 阅读全文
posted @ 2017-12-19 20:06
Zhentiw
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NumPy Reference: Indexing Integer array indexing: Select array elements with another array 阅读全文
posted @ 2017-12-18 21:32
Zhentiw
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NumPy Reference: Indexing Note: Indexing starts at 0 (zero). def slicing(): a = np.random.rand(5,4) print(a) """ [[ 0.15372787 0.83347785 0.86855635 0 阅读全文
posted @ 2017-12-18 21:21
Zhentiw
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NumPy Reference: Mathematical functions numpy.sum: Sum of elements - along rows, columns or all numpy.min, numpy.max, numpy.mean: Simple statistics Al 阅读全文
posted @ 2017-12-18 21:08
Zhentiw
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When making a reusable component, you'll find that people often like to have the API they're most familiar with, so in this lesson we'll recreate the 阅读全文
posted @ 2017-12-18 19:50
Zhentiw
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If you have state that needs to exist throughout your application, then you may find yourself passing props all over the application and even "drillin 阅读全文
posted @ 2017-12-18 15:55
Zhentiw
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Attributes of numpy.ndarray: numpy.ndarray.shape: Dimensions (height, width, ...) numpy.ndarray.ndim: No. of dimensions = len(shape) numpy.ndarray.siz 阅读全文
posted @ 2017-12-17 23:38
Zhentiw
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import numpy as np def test_run(): data=np.random.random((3,4)) """ [[ 0.80150549 0.96756513 0.18914514 0.85937016] [ 0.23563908 0.75685996 0.46804508 0.91735016] [ 0.7054... 阅读全文
posted @ 2017-12-17 23:30
Zhentiw
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It is easy to compare the data by normalize it. 阅读全文
posted @ 2017-12-17 23:02
Zhentiw
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import os import pandas as pd import matplotlib.pyplot as plt def test_run(): start_date='2017-01-01' end_data='2017-12-15' dates=pd.date_range(start_ 阅读全文
posted @ 2017-12-17 22:47
Zhentiw
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