From ff24ba18a4a51e6fed87e2a495d3a4491e0acc01 Mon Sep 17 00:00:00 2001 From: zrf <2920533883@qq.com> Date: Tue, 16 Feb 2021 21:18:04 +0800 Subject: [PATCH] modify BytesIO --- docs/user/basics/io.md | 48 +++++++++++++++++++++--------------------- 1 file changed, 24 insertions(+), 24 deletions(-) diff --git a/docs/user/basics/io.md b/docs/user/basics/io.md index 8dbd617..717e5a2 100644 --- a/docs/user/basics/io.md +++ b/docs/user/basics/io.md @@ -11,7 +11,7 @@ In a nutshell, ``genfromtxt`` runs two main loops. 第一个循环以字符串 ```python >>> import numpy as np ->>> from io import BytesIO +>>> from io import StringIO ``` ### 定义输入 @@ -29,7 +29,7 @@ In a nutshell, ``genfromtxt`` runs two main loops. 第一个循环以字符串 ```python >>> data = "1, 2, 3\n4, 5, 6" ->>> np.genfromtxt(BytesIO(data), delimiter=",") +>>> np.genfromtxt(StringIO(data), delimiter=",") array([[ 1., 2., 3.], [ 4., 5., 6.]]) ``` @@ -40,12 +40,12 @@ array([[ 1., 2., 3.], ```python >>> data = " 1 2 3\n 4 5 67\n890123 4" ->>> np.genfromtxt(BytesIO(data), delimiter=3) +>>> np.genfromtxt(StringIO(data), delimiter=3) array([[ 1., 2., 3.], [ 4., 5., 67.], [ 890., 123., 4.]]) >>> data = "123456789\n 4 7 9\n 4567 9" ->>> np.genfromtxt(BytesIO(data), delimiter=(4, 3, 2)) +>>> np.genfromtxt(StringIO(data), delimiter=(4, 3, 2)) array([[ 1234., 567., 89.], [ 4., 7., 9.], [ 4., 567., 9.]]) @@ -58,12 +58,12 @@ array([[ 1234., 567., 89.], ```python >>> data = "1, abc , 2\n 3, xxx, 4" >>> # Without autostrip ->>> np.genfromtxt(BytesIO(data), delimiter=",", dtype="|S5") +>>> np.genfromtxt(StringIO(data), delimiter=",", dtype="|S5") array([['1', ' abc ', ' 2'], ['3', ' xxx', ' 4']], dtype='|S5') >>> # With autostrip ->>> np.genfromtxt(BytesIO(data), delimiter=",", dtype="|S5", autostrip=True) +>>> np.genfromtxt(StringIO(data), delimiter=",", dtype="|S5", autostrip=True) array([['1', 'abc', '2'], ['3', 'xxx', '4']], dtype='|S5') @@ -84,7 +84,7 @@ array([['1', 'abc', '2'], ... # And here comes the last line ... 9, 0 ... """ ->>> np.genfromtxt(BytesIO(data), comments="#", delimiter=",") +>>> np.genfromtxt(StringIO(data), comments="#", delimiter=",") [[ 1. 2.] [ 3. 4.] [ 5. 6.] @@ -106,9 +106,9 @@ array([['1', 'abc', '2'], ```python >>> data = "\n".join(str(i) for i in range(10)) ->>> np.genfromtxt(BytesIO(data),) +>>> np.genfromtxt(StringIO(data),) array([ 0., 1., 2., 3., 4., 5., 6., 7., 8., 9.]) ->>> np.genfromtxt(BytesIO(data), +>>> np.genfromtxt(StringIO(data), ... skip_header=3, skip_footer=5) array([ 3., 4.]) ``` @@ -123,7 +123,7 @@ array([ 3., 4.]) ```python >>> data = "1 2 3\n4 5 6" ->>> np.genfromtxt(BytesIO(data), usecols=(0, -1)) +>>> np.genfromtxt(StringIO(data), usecols=(0, -1)) array([[ 1., 3.], [ 4., 6.]]) ``` @@ -132,11 +132,11 @@ array([[ 1., 3.], ```python >>> data = "1 2 3\n4 5 6" ->>> np.genfromtxt(BytesIO(data), +>>> np.genfromtxt(StringIO(data), ... names="a, b, c", usecols=("a", "c")) array([(1.0, 3.0), (4.0, 6.0)], dtype=[('a', '>> np.genfromtxt(BytesIO(data), +>>> np.genfromtxt(StringIO(data), ... names="a, b, c", usecols=("a, c")) array([(1.0, 3.0), (4.0, 6.0)], dtype=[('a', '>> data = BytesIO("1 2 3\n 4 5 6") +>>> data = StringIO("1 2 3\n 4 5 6") >>> np.genfromtxt(data, dtype=[(_, int) for _ in "abc"]) array([(1, 2, 3), (4, 5, 6)], dtype=[('a', '>> data = BytesIO("1 2 3\n 4 5 6") +>>> data = StringIO("1 2 3\n 4 5 6") >>> np.genfromtxt(data, names="A, B, C") array([(1.0, 2.0, 3.0), (4.0, 5.0, 6.0)], dtype=[('A', '>> data = BytesIO("So it goes\n#a b c\n1 2 3\n 4 5 6") +>>> data = StringIO("So it goes\n#a b c\n1 2 3\n 4 5 6") >>> np.genfromtxt(data, skip_header=1, names=True) array([(1.0, 2.0, 3.0), (4.0, 5.0, 6.0)], dtype=[('a', '>> data = BytesIO("1 2 3\n 4 5 6") +>>> data = StringIO("1 2 3\n 4 5 6") >>> ndtype=[('a',int), ('b', float), ('c', int)] >>> names = ["A", "B", "C"] >>> np.genfromtxt(data, names=names, dtype=ndtype) @@ -209,7 +209,7 @@ array([(1, 2.0, 3), (4, 5.0, 6)], 如果 ``names=None`` 的时候，只是预计会有一个结构化的dtype，它的名称将使用标准的NumPy默认值 ``"f%i"``来定义，会产生例如``f0``，``f1``等名称： ```python ->>> data = BytesIO("1 2 3\n 4 5 6") +>>> data = StringIO("1 2 3\n 4 5 6") >>> np.genfromtxt(data, dtype=(int, float, int)) array([(1, 2.0, 3), (4, 5.0, 6)], dtype=[('f0', '>> data = BytesIO("1 2 3\n 4 5 6") +>>> data = StringIO("1 2 3\n 4 5 6") >>> np.genfromtxt(data, dtype=(int, float, int), names="a") array([(1, 2.0, 3), (4, 5.0, 6)], dtype=[('a', '>> data = BytesIO("1 2 3\n 4 5 6") +>>> data = StringIO("1 2 3\n 4 5 6") >>> np.genfromtxt(data, dtype=(int, float, int), defaultfmt="var_%02i") array([(1, 2.0, 3), (4, 5.0, 6)], dtype=[('var_00', '>> data = "1, 2.3%, 45.\n6, 78.9%, 0" >>> names = ("i", "p", "n") >>> # General case ..... ->>> np.genfromtxt(BytesIO(data), delimiter=",", names=names) +>>> np.genfromtxt(StringIO(data), delimiter=",", names=names) array([(1.0, nan, 45.0), (6.0, nan, 0.0)], dtype=[('i', '>> # Converted case ... ->>> np.genfromtxt(BytesIO(data), delimiter=",", names=names, +>>> np.genfromtxt(StringIO(data), delimiter=",", names=names, ... converters={1: convertfunc}) array([(1.0, 0.023, 45.0), (6.0, 0.78900000000000003, 0.0)], dtype=[('i', '>> # Using a name for the converter ... ->>> np.genfromtxt(BytesIO(data), delimiter=",", names=names, +>>> np.genfromtxt(StringIO(data), delimiter=",", names=names, ... converters={"p": convertfunc}) array([(1.0, 0.023, 45.0), (6.0, 0.78900000000000003, 0.0)], dtype=[('i', '>> data = "1, , 3\n 4, 5, 6" >>> convert = lambda x: float(x.strip() or -999) ->>> np.genfromtxt(BytesIO(data), delimiter=",", +>>> np.genfromtxt(StringIO(data), delimiter=",", ... converters={1: convert}) array([[ 1., -999., 3.], [ 4., 5., 6.]]) @@ -338,7 +338,7 @@ array([[ 1., -999., 3.], ... names="a,b,c", ... missing_values={0:"N/A", 'b':" ", 2:"???"}, ... filling_values={0:0, 'b':0, 2:-999}) ->>> np.genfromtxt(BytesIO(data), **kwargs) +>>> np.genfromtxt(StringIO(data), **kwargs) array([(0, 2, 3), (4, 0, -999)], dtype=[('a', '