问题
I want to export xlsx file with multiple sheets from sql database by using queries Now I have created a three queries every query have a SELECT order for some specific data all I need now I want to export from sql database with one xlsx file but contains three sheets I new how to export data from sql database as an xlsx file but with one sheet only and this is my code
from sqlalchemy import create_engine
import pandas as pd
import os
import csv
import MySQLdb
from sqlalchemy import types, create_engine
from xlsxwriter.workbook import Workbook
# MySQL Connection
MYSQL_USER = 'root'
MYSQL_PASSWORD = 'xxxxxxxxxx'
MYSQL_HOST_IP = '127.0.0.1'
MYSQL_PORT = 3306
MYSQL_DATABASE = 'mydb'
govtracker_table = 'govtracker' # table you want to save
con = MySQLdb.connect(user=MYSQL_USER, passwd=MYSQL_PASSWORD,
host=MYSQL_HOST_IP, db=MYSQL_DATABASE)
cursor = con.cursor()
export_frm_db_query_ssv = "SELECT id, site_code, site_name, region,
site_type, tac_name, dt_readiness, rfs, " \
"rfs_date, acceptance_date_opt, acceptance_date_plan, signed_sites, "
\
"as_built_date, as_built_status, cluster_name,
type_standalone_colocated, " \
"installed_type_standalone_colocated, status, pending, pending_status,
" \
"problematic_details, ets_tac, region_r,
sf6_signed_date, " \
"sf6_signed_comment, comment_history, on_air_owner,
pp_owner, " \
"report_comment, hu_opt_area_owner, planning_owner,
po_number, " \
"trigger_date, as_built_status_tr FROM %s;" %
govtracker_table
workbook = Workbook('SSV Progress Tracker_23 May.xlsx')
sheet = workbook.add_worksheet()
for r, row in enumerate(cursor.fetchall()):
for c, col in enumerate(row):
sheet.write(r, c, col)
workbook.close()
the previous code is just extracting data from my database to xlsx file in one sheet only
now I have created three queries every query should be in three different sheets
#SHR Phase 1 sheet SQL query
export_frm_db_query_shr_ph1 = "SELECT id, site_code, site_name, region,
site_type, tac_name, dt_readiness, rfs, " \
"rfs_date, huawei_1st_submission_date, te_1st_submission_date, " \
"huawei_2nd_submission_date,
te_2nd_submission_date, " \
"huawei_3rd_submission_date,
te_3rd_submission_date, " \
"acceptance_date_opt, acceptance_date_plan,
signed_sites, " \
"as_built_date, as_built_status, date_dt, dt_status, " \
"shr_status, dt_planned, integeration_status, comments_snags WHERE
site_type = 'Existing' AND " \
"site_type = 'New' AND region = 'Cairo' AND
region = 'Red sea & Sinai' " \
"FROM %s;" % govtracker_table
#SHR Phase 2 sheet SQL query
export_frm_db_query_shr_ph2 = "SELECT id, site_code, site_name, region,
site_type, tac_name, dt_readiness, rfs, " \
"rfs_date, huawei_1st_submission_date, te_1st_submission_date, " \
"huawei_2nd_submission_date,
te_2nd_submission_date, " \
"huawei_3rd_submission_date,
te_3rd_submission_date, " \
"acceptance_date_opt, acceptance_date_plan,
signed_sites, " \
"as_built_date, as_built_status, date_dt, dt_status, " \
"shr_status, dt_planned, integeration_status, comments_snags WHERE
site_type = 'Existing' AND " \
"site_type = 'New' AND region = 'Delta' " \
"FROM %s;" % govtracker_table
#SHR Phase 3 sheet SQL query
export_frm_db_query_shr_ph3 = "SELECT id, site_code, site_name, region,
site_type, tac_name, dt_readiness, rfs, " \
"rfs_date, huawei_1st_submission_date, te_1st_submission_date, " \
"huawei_2nd_submission_date,
te_2nd_submission_date, " \
"huawei_3rd_submission_date,
te_3rd_submission_date, " \
"acceptance_date_opt, acceptance_date_plan,
signed_sites, " \
"as_built_date, as_built_status, date_dt, dt_status, " \
"shr_status, dt_planned, integeration_status, comments_snags WHERE
site_type = 'Cow' " \
"site_type = 'Indoor' " \
"FROM %s;" % govtracker_table
now I need to export from mydatabase by this three queries in three sheets in one xlsx file that's every query in a sheet
final thing now I want to put columns in the exported xlsx file but with changing their names and just adding colors to this columns and change the text style and how to rename the sheet name instead of the default name
I hope this would be clear enough
回答1:
You can use pandas xlsxwriter, like this:
writer1 = pd.ExcelWriter('xlsx file name', engine='xlsxwriter')
your_dataframe1['column based conditions'].to_excel(writer1, sheet_name='name of sheet 1', index=False, startrow=0)
your_dataframe2['column based conditions'].to_excel(writer1, sheet_name='name of sheet 2', index=False, startrow=0)
your_dataframe3.to_excel(writer1, sheet_name='name of sheet 3', index=False, startrow=0) #no conditions here
Just make sure your data set is dataframe type. When your excel is ready type:
writer1.save()
to save it.
If you want to format dataframe header you should import:
import pandas.io.formats.excel
and type:
pandas.io.formats.excel.header_style
To format excel files you can explore openpyxl module (I don't have ready solutions) or you can import win32com.client and format sheet with VBA macro (this is pretty easy and efficent way).
Remember you need to save your writer before edit this way (writer1.save())
import win32com.client
workbook1 = xl.Workbooks.Open(Filename='file path' + 'file_name.xlsx', ReadOnly=1)
xl.Application.Run('PERSONAL.XLSB!personal macro name')
workbook1.Close(True)
To rename columns easily you can use following code:
dataframe = dataframe.rename(index=str, columns={'ID' : 'col2','CATEGORY' : 'col1','DATE' : 'col3'})
dataframe = dataframe[['col1','col2','col3']]
来源：https://stackoverflow.com/questions/56666587/how-to-export-from-sql-database-an-xlsx-file-with-multiple-sheet-and-exporting-c