大约有 1,210 项符合查询结果（耗时：0.0299秒） [XML]
Preserve line endings
...nline) switch will mess it up.
E.g. sed.exe -b "s/\xFF\xFE//" c:\temp\in.csv > c:\temp\out.csv
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...
Label points in geom_point
..._text_repel() functions.
library(ggplot2)
library(ggrepel)
nba <- read.csv("http://datasets.flowingdata.com/ppg2008.csv", sep = ",")
nbaplot <- ggplot(nba, aes(x= MIN, y = PTS)) +
geom_point(color = "blue", size = 3)
### geom_label_repel
nbaplot +
geom_label_repel(aes(label = Name),
...
How to make good reproducible pandas examples
...ne of your code which it's raising against).
The Ugly:
don't link to a csv we don't have access to (ideally don't link to an external source at all...)
df = pd.read_csv('my_secret_file.csv') # ideally with lots of parsing options
Most data is proprietary we get that: Make up similar data and...
How to display full (non-truncated) dataframe information in html when converting from pandas datafr
.... Not sure how it does for dask though. but it works
train_data = dd.read_csv('./data/train.csv')
train_data.head(5)
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2015年硅谷最火的高科技创业公司都有哪些 - 资讯 - 清泛网 - 专注C/C++及内核技术
...看到了不少最近几年涌现的热门创业公司。我给大家一个列表，这个是华尔街网站的全世界创业公司融资规模评选。 它本来的标题是billion startup club，我在去年国内讲座也分享过，不到一年的时间，截至到2015年1月17日，现在的...
Difference between two dates in Python
...
Try this:
data=pd.read_csv('C:\Users\Desktop\Data Exploration.csv')
data.head(5)
first=data['1st Gift']
last=data['Last Gift']
maxi=data['Largest Gift']
l_1=np.mean(first)-3*np.std(first)
u_1=np.mean(first)+3*np.std(first)
m=np.abs(data['1st Gift...
传感器组件 · App Inventor 2 中文网
...偏离 30 米或更多。
可用提供者
可用服务提供者的列表，例如 GPS 或网络。 此信息以列表和文本形式提供。
当前地址
来自地图数据库的设备的实际街道地址。
提供者可能并不总是提供该地址，并且报告的地址可能...
Getting the count of unique values in a column in bash
...1
w 1
column 1:
d 3
r 2
b 1
g 1
m 1
z 1
column 2:
c 4
a 3
e 2
.csv input
If your input files are .csv, change /\s+/ to /,/
Obfuscation
In an ugly contest, Perl is particularly well equipped.
This one-liner does the same:
perl -lane 'for $i (0..$#F){$g[$i]{$F[$i]}++};END{for $j (0..$#...
How to redirect output with subprocess in Python?
...mmand line directly from python.
import subprocess32 as sub
with open("A.csv","a") as f:
f.flush()
sub.Popen(["cat","temp.csv"],stdout=f)
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adding noise to a signal in python
...,2)
# in your case you need to replace this with
# clean_signal = pd.read_csv("your_data.csv")
clean_signal = pd.DataFrame([[1,2],[3,4]], columns=list('AB'), dtype=float)
print(clean_signal)
"""
print output:
A B
0 1.0 2.0
1 3.0 4.0
"""
import numpy as np
mu, sigma = 0, 0.1
# crea...