Python | Plotting Stock charts in excel sheet using XlsxWriter module (original) (raw)
`# from datetime library import datetime method from datetime import datetime
import xlsxwriter library
import xlsxwriter
Workbook() takes one, non-optional, argument
which is the filename that we want to create.
workbook = xlsxwriter.Workbook('chart_stock.xlsx')
The workbook object is then used to add new
worksheet via the add_worksheet() method.
worksheet = workbook.add_worksheet()
Create a new Format object to formats cells
in worksheets using add_format() method .
here we create bold format object .
bold = workbook.add_format({'bold': 1})
here we create date format object
date_format = workbook.add_format({'num_format': 'dd/mm/yyyy'})
Create a chart object that can be added
to a worksheet using add_chart() method.
here we create a stock chart object .
chart = workbook.add_chart({'type': 'stock'})
Add the worksheet data that the charts will refer to.
headings = ['Date', 'High', 'Low', 'Close'] data = [ ['2018-01-01', '2018-01-02', '2018-01-03', '2018-01-04', '2018-01-05'], [27.2, 25.03, 19.05, 20.34, 18.5], [23.49, 19.55, 15.12, 17.84, 16.34], [25.45, 23.05, 17.32, 20.45, 17.34], ]
Write a row of data starting from 'A1'
with bold format .
worksheet.write_row('A1', headings, bold)
Filling the data in an excel sheet
for row in range(5):
# convert a string type date into date of respective format.
date = datetime.strptime(data[0][row], "% Y-% m-% d")
# apply a date_format object on this particular cell
worksheet.write(row + 1, 0, date, date_format)
# write data in the respective cells
worksheet.write(row + 1, 1, data[1][row])
worksheet.write(row + 1, 2, data[2][row])
worksheet.write(row + 1, 3, data[3][row])
width of A to D column set to 11.
worksheet.set_column('A:D', 11)
Add a series for each of the High-Low-Close columns.
Add a data series to a chart
using add_series method.
note : spaces is not inserted in b / w
= and Sheet1, Sheet1 and !
if space is inserted it throws warning.
data take from A2 to A6 and B2 to B6 respectively.
chart.add_series({ 'categories': '= Sheet1 !$A$2:$A$6', 'values': '= Sheet1 !$B$2:$B$6', })
data take from A2 to A6 and C2 to C6 respectively.
chart.add_series({ 'categories': '= Sheet1 !$A$2:$A$6', 'values': '= Sheet1 !$C$2:$C$6', })
data take from A2 to A6 and D2 to D6 respectively.
chart.add_series({ 'categories': '= Sheet1 !$A$2:$A$6', 'values': '= Sheet1 !$D$2:$D$6', })
Add a chart title
chart.set_title ({'name': 'High-Low-Close'})
Add x-axis label
chart.set_x_axis({'name': 'Date'})
Add y-axis label
chart.set_y_axis({'name': 'Share price'})
add chart to the worksheet with given
offset values at the top-left corner of
a chart is anchored to cell E9
worksheet.insert_chart('E9', chart)
Finally, close the Excel file
via the close() method.
workbook.close()
`