大约有 4,000 项符合查询结果（耗时：0.0370秒） [XML]
Good reasons NOT to use a relational database?
..., but with a bit more ability to validate the structure.
Spreadsheet / CSV file
Very easy model for business users to understand
Subversion (or similar disk based version control system)
Very good support for versioning of data
Berkeley DB (Basically, a disk based hashtable)
Very s...
python pandas remove duplicate columns
...probably with the duplicate column titles.
For a sample table file 'dummy.csv' I made up:
Time H1 N2 Time N2 Time Relative
3 13 13 3 13 0
1 15 15 1 15 14
14 19 19 14 19 14
19 5 5 19 5 1
using read_table gives unique columns and works properly:
In [151]: df2 =...
Alternative to google finance api [closed]
...hoo Finance API posted on
Google Code.
For beginners, you can generate a CSV with a simple API call:
http://finance.yahoo.com/d/quotes.csv?s=AAPL+GOOG+MSFT&f=sb2b3jk
(This will generate and save a CSV for AAPL, GOOG, and MSFT)
Note that you must append the format to the query string (f=..)...
Generating an Excel file in ASP.NET [closed]
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CSV
Pros:
Simple
Cons:
It may not work in other locales or in different Excel configurations (i.e. List separator)
Can't apply formatting, formulas, etc
HTML
Pros:
Still pretty Simple
Supports simple format...
UnicodeDecodeError: 'utf8' codec can't decode byte 0x9c
...g the engine from C to Python did the trick for me.
Engine is C:
pd.read_csv(gdp_path, sep='\t', engine='c')
'utf-8' codec can't decode byte 0x92 in position 18: invalid start byte
Engine is Python:
pd.read_csv(gdp_path, sep='\t', engine='python')
No errors for me.
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In C#, how can I create a TextReader object from a string (without writing to disk)
I'm using A Fast CSV Reader to parse some pasted text into a webpage. The Fast CSV reader requires a TextReader object, and all I have is a string. What's the best way to convert a string into a TextReader object on the fly?
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Recursively look for files with a specific extension
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find {directory} -type f -name '*.extension'
Example: To find all csv files in the current directory and its sub-directories, use:
find . -type f -name '*.csv'
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Return JSON response from Flask view
I have a function that analyzes a CSV file with Pandas and produces a dict with summary information. I want to return the results as a response from a Flask view. How do I return a JSON response?
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How would you make a comma-separated string from a list of strings?
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",".join(l) will not work for all cases. I'd suggest using the csv module with StringIO
import StringIO
import csv
l = ['list','of','["""crazy"quotes"and\'',123,'other things']
line = StringIO.StringIO()
writer = csv.writer(line)
writer.writerow(l)
csvcontent = line.getvalue()
# 'list...
How to print pandas DataFrame without index
... @Rockbar if you want to copy/export to excel you should be using df.to_csv anyway.
– U2EF1
Nov 18 '17 at 1:07
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