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“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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App Inventor 2 经典蓝牙(SPP) 硬件接入：hc05 · App Inventor 2 中文网
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原因：经典蓝牙设备未正常连接上，就进行数据收发操作导致的异常，加一个连接状态判断就行。
详见社区。
Error 507: unable to connect. is the device turned on?
英文资料显示，可能是蓝牙设备问题未...
比起创业孵化器 双创中国更急需的是创业教育 - 资讯 - 清泛网 - 专注C/C++...
...rek邀请的分享嘉宾中，多数会直接分享其商业逻辑和业务数据等核心要点，包括发展过程中的独门绝技和经验。而在中国，这些差异化的思维理念和方法，特别是商业逻辑，一旦公开，第二天就有超出你想象数量的山寨项目出现...
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...
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']
...
List of tables, db schema, dump etc using the Python sqlite3 API
...se.db')
table = pd.read_sql_query("SELECT * from table_name", db)
table.to_csv(table_name + '.csv', index_label='index')
Dump all tables:
import sqlite3
import pandas as pd
def to_csv():
db = sqlite3.connect('database.db')
cursor = db.cursor()
cursor.execute("SELECT name FROM sqlite...
How do I convert dates in a Pandas data frame to a 'date' data type?
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I imagine a lot of data comes into Pandas from CSV files, in which case you can simply convert the date during the initial CSV read:
dfcsv = pd.read_csv('xyz.csv', parse_dates=[0]) where the 0 refers to the column the date is in.
You could also add , index_col=0 in there...
Linux下部署企业级邮件服务器(postfix + dovecot + extmail) - 开源 & Gith...
...框架，结合Courier-authlib对发信人进行认证，通过检索Mysql数据库中的数据来进行认证，以此来判定收件人所在的域是否为自己所负责的域，并且判断是否为其中继邮件。
需求：为公司建立邮件服务器，公司全部员工使用统一的...
PostgreSQL query to return results as a comma separated list
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You can generate a CSV from any SQL query using psql:
$ psql
> \o myfile.csv
> \f ','
> \a
> SELECT col1 AS column1, col2 AS column2 ... FROM ...
The resulting myfile.csv will have the SQL resultset column names as CSV column h...