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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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For example we have dataframe like this: Now we only we want to get highlighted part: We can use Dataframe.ix[] method to get date related index data 阅读全文
posted @ 2017-12-17 22:35
Zhentiw
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Create an empty Data frame with date index: Now we want to load SPY.csv and get 'Adj Close' column value and copy the range (11-21, 11-28) data to the 阅读全文
posted @ 2017-12-17 02:12
Zhentiw
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