File:Stock-indices-2020crash.svg
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Size of this PNG preview of this SVG file: 504 × 378 pixels. Other resolutions: 320 × 240 pixels | 640 × 480 pixels | 1,024 × 768 pixels | 1,280 × 960 pixels | 2,560 × 1,920 pixels.
Original file (SVG file, nominally 504 × 378 pixels, file size: 79 KB)
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Summary[edit]
DescriptionStock-indices-2020crash.svg |
English: Stock index chart at the 2020 stock market crash |
Date | |
Source | Own work |
Author | Geek3 |
SVG development InfoField | This plot was created with Matplotlib. |
Source code InfoField | Python code#!/usr/bin/python3
# -*- coding: utf8 -*-
import csv
import datetime
import matplotlib as mpl
import matplotlib.pyplot as plt
import numpy as np
class Stock:
def __init__(self, name):
self.data = self.get_csv(name)
self.convert_types()
self.filter_date(datetime.datetime(2020, 1, 1), datetime.datetime(2020, 4, 6))
def get_csv(self, name):
try:
with open(name, 'r' ) as f:
reader = csv.DictReader(f)
return [line for line in reader]
except FileNotFoundError as ex:
print(ex)
print('get data from', 'https://finance.yahoo.com/quote/DAX/history?p=DAX')
exit()
def convert_types(self):
for il, l in enumerate(self.data):
for k in l.keys():
try:
if k == 'Date':
l[k] = datetime.datetime.strptime(l[k], '%Y-%m-%d')
else:
l[k] = float(l[k])
except Exception:
del self.data[il]
def filter_date(self, date, date2=None):
self.data = [i for i in self.data if i['Date'] >= date]
if date2 is not None:
self.data = [i for i in self.data if i['Date'] <= date2]
def get_dates(self):
return [l['Date'] for l in self.data]
def get_values(self):
return np.array([float(l['Close']) for l in self.data])
def get_values_norm(self):
v = self.get_values()
#vmean = np.mean([v for i, v in enumerate(v) if self.data[i]['Date'].month == 1])
#return v / vmean
return v / max(v)
# data is found on finance.yahoo.com
data_spx = Stock('^GSPC.csv')
data_DJI = Stock('^DJI.csv')
data_stoxx50e = Stock('^STOXX50E.csv')
data_DAX = Stock('^GDAXI.csv')
plt.figure(figsize=[5.6, 4.2])
ax = plt.gca()
ax.set_prop_cycle(color=['#0072bd', '#d95319', '#edb120', '#7e2f8e'])
plt.plot(data_spx.get_dates(), 100*data_spx.get_values_norm(), 'o-', ms=3, label='S&P 500')
plt.plot(data_DJI.get_dates(), 100*data_DJI.get_values_norm(), 'o-', ms=3, label='Dow Jones')
plt.plot(data_stoxx50e.get_dates(), 100*data_stoxx50e.get_values_norm(), 'o-', ms=3, label='EURO STOXX 50')
plt.plot(data_DAX.get_dates(), 100*data_DAX.get_values_norm(), 'o-', ms=3, label='DAX')
ax.xaxis.set_major_locator(mpl.dates.MonthLocator())
ax.xaxis.set_major_formatter(mpl.dates.DateFormatter("%Y-%m"))
ax.yaxis.set_major_formatter(mpl.ticker.FormatStrFormatter('%.0f%%'))
plt.axvline(datetime.datetime(2020, 3, 9), color='k')
ax.text(datetime.datetime(2020, 3, 9), 0.64, 'BMI', fontsize=11, ha='left', va='bottom',
transform=mpl.transforms.blended_transform_factory(ax.transData, ax.transAxes))
ax.text(datetime.datetime(2020, 3, 16), 0.51, 'BMII', fontsize=11, ha='left', va='bottom',
transform=mpl.transforms.blended_transform_factory(ax.transData, ax.transAxes))
plt.axvline(datetime.datetime(2020, 3, 16), color='k')
plt.xlabel('date')
plt.ylabel('value relative to 2020 maximum')
plt.grid(True)
plt.legend(loc='center left', framealpha=1, edgecolor='k', borderpad=0.7, borderaxespad=2)
plt.tight_layout()
plt.savefig('stock-indices-2020crash.svg')
plt.show()
|
Licensing[edit]
I, the copyright holder of this work, hereby publish it under the following license:
This file is licensed under the Creative Commons Attribution-Share Alike 4.0 International license.
- You are free:
- to share – to copy, distribute and transmit the work
- to remix – to adapt the work
- Under the following conditions:
- attribution – You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
- share alike – If you remix, transform, or build upon the material, you must distribute your contributions under the same or compatible license as the original.
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Date/Time | Thumbnail | Dimensions | User | Comment | |
---|---|---|---|---|---|
current | 11:48, 7 April 2020 | 504 × 378 (79 KB) | Geek3 (talk | contribs) | Uploaded own work with UploadWizard |
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Height | 302.4pt |