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Pretty Printing a pandas dataframe
... the table as text. The trick is to convert the data_frame to an in-memory csv file and have prettytable read it. Here's the code:
from StringIO import StringIO
import prettytable
output = StringIO()
data_frame.to_csv(output)
output.seek(0)
pt = prettytable.from_csv(output)
print pt
...
Parsing huge logfiles in Node.js - read in line-by-line
...t-stream');
var lineNr = 0;
var s = fs.createReadStream('very-large-file.csv')
.pipe(es.split())
.pipe(es.mapSync(function(line){
// pause the readstream
s.pause();
lineNr += 1;
// process line here and call s.resume() when rdy
// function below w...
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.
share
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...
How to export DataTable to Excel
...
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.
...
Split a string by spaces — preserving quoted substrings — in Python
...
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?
...
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...
PostgreSQL query to return results as a comma separated list
...
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...