我有以下名为'data.csv'的文件:
1997,Ford,E350
1997, Ford , E350
1997,Ford,E350,"Super, luxurious truck"
1997,Ford,E350,"Super ""luxurious"" truck"
1997,Ford,E350," Super luxurious truck "
"1997",Ford,E350
1997,Ford,E350
2000,Mercury,Cougar
我想将它解析为pandas DataFrame,以便DataFrame如下所示:
Year Make Model Description
0 1997 Ford E350 None
1 1997 Ford E350 None
2 1997 Ford E350 Super, luxurious truck
3 1997 Ford E350 Super "luxurious" truck
4 1997 Ford E350 Super luxurious truck
5 1997 Ford E350 None
6 1997 Ford E350 None
7 2000 Mercury Cougar None
我能做的最好的事情是:
pd.read_table("data.csv", sep=r',', names=["Year", "Make", "Model", "Description"])
哪个让我: …
我有以下DataFrame包含歌曲名称,他们的峰值图表位置以及他们在1号位置花费的周数:
Song Peak Weeks
76 Paperback Writer 1 16
117 Lady Madonna 1 9
118 Hey Jude 1 27
22 Can't Buy Me Love 1 17
29 A Hard Day's Night 1 14
48 Ticket To Ride 1 14
56 Help! 1 17
109 All You Need Is Love 1 16
173 The Ballad Of John And Yoko 1 13
85 Eleanor Rigby 1 14
87 Yellow Submarine 1 14
20 I Want To Hold Your Hand 1 24
45 …我在Mac OSX计算机上安装Python Pandas库时遇到问题.
我在终端输入以下内容:
$ sudo easy_install pandas
但后来我得到以下内容:
Searching for pandas
Reading http://pypi.python.org/simple/pandas/
Reading http://pandas.pydata.org
Reading http://pandas.sourceforge.net
Best match: pandas 0.9.0
Downloading http://pypi.python.org/packages/source/p/pandas/pandas-
0.9.0.zip#md5=04b1d8e11cc0fc30ae777499d89003ec
Processing pandas-0.9.0.zip
Writing /tmp/easy_install-ixjbQO/pandas-0.9.0/setup.cfg
Running pandas-0.9.0/setup.py -q bdist_egg --dist-dir /tmp/easy_install-ixjbQO/pandas-
0.9.0/egg-dist-tmp-EGREoT
warning: no files found matching 'setupegg.py'
no previously-included directories found matching 'doc/build'
warning: no previously-included files matching '*.so' found anywhere in distribution
warning: no previously-included files matching '*.pyd' found anywhere in distribution
warning: no previously-included files matching '*.pyc' found anywhere in distribution
warning: no …当我创建以下Pandas系列时:
pandas.Series(['a', 'aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa', 'aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa', 'aaaaaaaaaaaaaaaa', 'aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa']
我得到了这个结果:
0 a
1 aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa...
2 aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa...
3 aaaaaaaaaaaaaaaa
4 aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa...
如何在不使用如下所示的省略号的情况下获得一个系列:
0 a
1 aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa
2 aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa
3 aaaaaaaaaaaaaaaa
4 aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa
如果我有一个清单l:
l = [0, 1, 2, 3, 4, 5, 6, 7, 8, 9]
有没有办法控制以下for循环,以便列表中的下一个元素仅在前一个后打印一秒？
for i in l:
print i
换句话说,有没有办法优雅地减慢Python中的循环？
我有一个 DataFrame，df每日股票收益如下：
Date Stock A Stock B Stock C
2018-12-26 -0.018207 0.083554 -0.006546
2018-12-27 0.004223 0.000698 0.003806
2018-12-28 0.024847 -0.008717 0.028399
2018-12-31 0.000000 0.010904 0.000000
2019-01-02 0.036554 0.002436 0.035557
2019-01-03 0.043541 -0.028462 0.006065
2019-01-04 -0.036207 0.070025 0.003025
2019-01-07 -0.005367 0.046411 -0.001546
2019-01-08 0.002878 0.014678 0.003631
2019-01-09 0.004663 0.014151 0.017179
2019-01-10 0.009282 0.026047 0.002062
2019-01-11 0.021224 -0.006649 -0.001578
2019-01-14 0.022168 -0.015211 0.008713
2019-01-15 -0.009827 0.020080 -0.004424
2019-01-16 0.021561 -0.016657 0.003583
2019-01-17 0.005025 0.011703 0.010149
2019-01-18 0.013333 0.012785 0.007824
2019-01-21 …