Biểu đồ cổ phiếu chỉ đơn giản là biểu đồ giá cho thấy giá của cổ phiếu được vẽ trong một khung thời gian và nó hiển thị một số tập hợp thông tin chính -
- Biểu tượng và trao đổi chứng khoán.
- Chu kỳ biểu đồ
- Thay đổi giá
- Lần thay đổi cuối cùng
- Âm lượng
Ví dụ
# from datetime libraray 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 rspective 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.
# 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()