text= open('text.txt', 'r')
line = text.readline()
i=0
while line:
print (line),
if line=='word':
ns=i
break
line = text.readline()
i+=1
text.close()
print ('Номер нужной строки ',ns)
text= open('text.txt', 'r')
for id, line in enumerate(text.readlines()):
print (line)
if line=='word':
break
text.close()
print ('Номер нужной строки ',id)
ebay = ebay['Custom Label (SKU)'].str.contains('a', case=False)
значит "запомнить много функций" или значит "запомнить и знать что и где искать в гугле и все понимать"?
a = 0
b = 1
c = 2
d = 3
alls = min(a, b, c, d)
globs = globals().copy()
for i in globs:
if id(globs[i]) == id(alls):
print("имя переменной, у которой самый маленький int:", i)
break
!$connection->set_charset("utf8")
<?php
$config = array(
'db' => array(
'server' => '#',
'username' => '#',
'password' => '#',
'name' => '#',
)
);
$connection = mysqli_connect(
$config['db']['server'],
$config['db']['username'],
$config['db']['password'],
$config['db']['name']
);
if ($connection == false) {
echo "Немає з'єднання";
echo mysqli_connect_error();
exit();
}
!$connection->set_charset("utf8")
?>
writer = pd.ExcelWriter(f'{os.path.join(graphs_dir, f"{i}.xlsx")}', engine='openpyxl', mode='a')
def append_df_to_excel(filename, df, sheet_name='Sheet1', startrow=None,
truncate_sheet=False,
**to_excel_kwargs):
"""
Append a DataFrame [df] to existing Excel file [filename]
into [sheet_name] Sheet.
If [filename] doesn't exist, then this function will create it.
Parameters:
filename : File path or existing ExcelWriter
(Example: '/path/to/file.xlsx')
df : dataframe to save to workbook
sheet_name : Name of sheet which will contain DataFrame.
(default: 'Sheet1')
startrow : upper left cell row to dump data frame.
Per default (startrow=None) calculate the last row
in the existing DF and write to the next row...
truncate_sheet : truncate (remove and recreate) [sheet_name]
before writing DataFrame to Excel file
to_excel_kwargs : arguments which will be passed to `DataFrame.to_excel()`
[can be dictionary]
Returns: None
"""
from openpyxl import load_workbook
import pandas as pd
# ignore [engine] parameter if it was passed
if 'engine' in to_excel_kwargs:
to_excel_kwargs.pop('engine')
writer = pd.ExcelWriter(filename, engine='openpyxl')
# Python 2.x: define [FileNotFoundError] exception if it doesn't exist
try:
FileNotFoundError
except NameError:
FileNotFoundError = IOError
try:
# try to open an existing workbook
writer.book = load_workbook(filename)
# get the last row in the existing Excel sheet
# if it was not specified explicitly
if startrow is None and sheet_name in writer.book.sheetnames:
startrow = writer.book[sheet_name].max_row
# truncate sheet
if truncate_sheet and sheet_name in writer.book.sheetnames:
# index of [sheet_name] sheet
idx = writer.book.sheetnames.index(sheet_name)
# remove [sheet_name]
writer.book.remove(writer.book.worksheets[idx])
# create an empty sheet [sheet_name] using old index
writer.book.create_sheet(sheet_name, idx)
# copy existing sheets
writer.sheets = {ws.title:ws for ws in writer.book.worksheets}
except FileNotFoundError:
# file does not exist yet, we will create it
pass
if startrow is None:
startrow = 0
# write out the new sheet
df.to_excel(writer, sheet_name, startrow=startrow, **to_excel_kwargs)
# save the workbook
writer.save()