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How to import an excel file in to a MySQL database
...ome text format. The easiest will probably be a tab-delimited version, but CSV can work as well.
Use the load data capability. See http://dev.mysql.com/doc/refman/5.1/en/load-data.html
Look half way down the page, as it will gives a good example for tab separated data:
FIELDS TERMINATED BY '\t' ENC...
“Unicode Error ”unicodeescape" codec can't decode bytes… Cannot open text files in Python 3 [duplica
... had this same error in python 3.2.
I have script for email sending and:
csv.reader(open('work_dir\uslugi1.csv', newline='', encoding='utf-8'))
when I remove first char in file uslugi1.csv works fine.
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Is there a job scheduler library for node.js? [closed]
... answered Jun 12 '14 at 4:43
XåpplI'-I0llwlg'I -XåpplI'-I0llwlg'I -
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How do you do a case insensitive search using a pattern modifier using less?
...ed Aug 19 '08 at 20:09
Juha SyrjäläJuha Syrjälä
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What is the $$hashKey added to my JSON.stringify result
...'14 at 5:48
Michael Falck WedelgårdMichael Falck Wedelgård
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How to use OrderBy with findAll in Spring Data
... redundant public modifier is also a good idea ;)
– Håvard Geithus
Apr 20 '15 at 17:11
1
I agree...
How to export DataTable to Excel
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Try simple code, to convert DataTable to excel file as csv:
var lines = new List<string>();
string[] columnNames = dataTable.Columns
.Cast<DataColumn>()
.Select(column => column.ColumnName)
.ToArray();
var header = string.Join(",", columnNames.Select...
Eclipse Kepler for OS X Mavericks request Java SE 6
... answered Nov 3 '13 at 0:08
Kåre JonssonKåre Jonsson
3122 bronze badges
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Subset of rows containing NA (missing) values in a chosen column of a data frame
We have a data frame from a CSV file. The data frame DF has columns that contain observed values and a column ( VaR2 ) that contains the date at which a measurement has been taken. If the date was not recorded, the CSV file contains the value NA , for missing data.
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Split a string by spaces — preserving quoted substrings — in Python
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Depending on your use case, you may also want to check out the csv module:
import csv
lines = ['this is "a string"', 'and more "stuff"']
for row in csv.reader(lines, delimiter=" "):
print(row)
Output:
['this', 'is', 'a string']
['and', 'more', 'stuff']
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