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Last active January 3, 2016 03:29
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Get_Bitcoin_Prices_Fixed
{
"metadata": {
"name": ""
},
"nbformat": 3,
"nbformat_minor": 0,
"worksheets": [
{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"<center><h2>Python Script that charts bitcoin prices in US dollars</h2></center>"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"import pandas as pd\n",
"import matplotlib.pyplot as plt\n",
"from matplotlib.dates import YearLocator, MonthLocator, WeekdayLocator, DayLocator, DateFormatter\n",
"import dateutil\n",
"from matplotlib.ticker import MultipleLocator\n",
"from datetime import datetime\n",
"from datetime import date\n",
"\n",
"# Data metadata:\n",
"# CSV file where first column is string date in dd/mm/YYYY H:M:S format and second column is the bitcoin price in US dollars\n",
"# Pandas.read_csv has an awesome converters parameter that allows us to convert or modify a column's data on the fly!\n",
"# Therefore, we can read the first column as an actual Python datetime object instead of as a string.\n",
"# Because there is time info with the date, it causes the x-axis ticks to not correspond with the data.\n",
"# As a workaround, I stripped the time from the date values by invoking datetime.date()\n",
"bitcoin_data = pd.read_csv(\"http://blockchain.info/charts/market-price?showDataPoints=false&timespan=&show_header=true&daysAverageString=1&scale=0&format=csv&address=\",\n",
" index_col=0, names=['price'], converters={0: lambda x: datetime.date(datetime.strptime(x, '%d/%m/%Y %H:%M:%S'))})"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 124
},
{
"cell_type": "heading",
"level": 4,
"metadata": {},
"source": [
"Let's view just the last 5 rows of the bitcoin data:"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"bitcoin_data.tail()"
],
"language": "python",
"metadata": {},
"outputs": [
{
"html": [
"<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>price</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>2014-01-09</th>\n",
" <td> 927.11829</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2014-01-10</th>\n",
" <td> 918.41811</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2014-01-11</th>\n",
" <td> 970.51160</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2014-01-12</th>\n",
" <td> 975.35750</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2014-01-13</th>\n",
" <td> 922.95453</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"metadata": {},
"output_type": "pyout",
"prompt_number": 106,
"text": [
" price\n",
"2014-01-09 927.11829\n",
"2014-01-10 918.41811\n",
"2014-01-11 970.51160\n",
"2014-01-12 975.35750\n",
"2014-01-13 922.95453"
]
}
],
"prompt_number": 106
},
{
"cell_type": "heading",
"level": 4,
"metadata": {},
"source": [
"Now, let's plot the data. Top chart will be all data available in monthly x-ticks intervals, bottom chart will be just last 2 calendar months of data, with daily x-ticks intervals."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"fig, axes = plt.subplots(2, 1) # Make 2 rows and 1 column of plots (2 plots total)\n",
"\n",
"# These are just time intervals we can use to format our X axis tick intervals\n",
"year = YearLocator()\n",
"month = MonthLocator(bymonth=range(1,13), bymonthday=1, interval=1)\n",
"week = WeekdayLocator(byweekday=dateutil.rrule.MO) # Every MOnday or WeekdayLocator(byweekday=0) works too\n",
"day = DayLocator(bymonthday=range(1,32), interval=1)\n",
"\n",
"####################### Let's make the top plot ######################\n",
"# Use trial and error to get the size you want\n",
"axes[0] = fig.add_axes([0, 1.4, 1.5, 1]) # left, bottom, width, height\n",
"\n",
"# Format the x-axis, set tick labels as Month 'Yr format, turn on grid for major ticks\n",
"monthsFmt = DateFormatter(\"%b '%y\")\n",
"axes[0].xaxis.set_major_formatter(monthsFmt)\n",
"axes[0].xaxis.set_major_locator(month) # Make the x-axis tick interval to be monthly interval size\n",
"axes[0].xaxis.grid(which='major')\n",
"\n",
"# Format the y-axis\n",
"y_major_ticks = MultipleLocator(200)\n",
"axes[0].yaxis.set_major_locator(y_major_ticks)\n",
"axes[0].yaxis.set_ticks_position('right') # Not sure why 'both' don't work\n",
"axes[0].yaxis.set_label_position('right')\n",
"axes[0].yaxis.grid(which='major')\n",
"\n",
"# Plot the data...\n",
"axes[0].plot_date(bitcoin_data.index, bitcoin_data.values, 'r')\n",
"axes[0].set_title(\"Bitcoin Value in US$\", weight=\"bold\")\n",
"axes[0].set_xlabel(\"Month - Year\")\n",
"axes[0].set_ylabel(\"US$\")\n",
"plt.setp(axes[0].get_xticklabels(), rotation=-90)\n",
"\n",
"############# Let's get last 2 calendar months' worth of bitcoin prices ###########\n",
"# But first, we must account for situation where current month is January\n",
"today = datetime.today()\n",
"this_month = today.month\n",
"if this_month==1:\n",
" last_year = today.year - 1 # if month is January, then year will be one less than current year\n",
" last_month = 12 # if month is January, then previous month is Dec (12)\n",
"else:\n",
" last_year = today.year # Otherwise, last year is really same as current year and\n",
" last_month = this_month - 1 # last month will equal current month minus 1\n",
"\n",
"this_year = today.year\n",
"\n",
"# Pandas' filtering by date ranges only work if the dates are of type datetime.datetime\n",
"# Unfortunately, the data parsed from the CSV file, was parsed as datetime.date\n",
"# So we will convert the datetime.date to datetime.datetime:\n",
"dates = [datetime(date.year,date.month,date.day) for date in bitcoin_data.index]\n",
"prices = [price[0] for price in bitcoin_data.values]\n",
"ts = pd.DataFrame(data=prices, index=dates, columns=[\"price\"])\n",
"\n",
"# Now I will take advantage of Pandas partial string indexing described below to get just 2 months of data:\n",
"# http://pandas.pydata.org/pandas-docs/stable/timeseries.html#partial-string-indexing\n",
"last2months = ts[str(last_month)+'-'+str(last_year):str(this_month)+'-'+str(this_year)]\n",
"\n",
"# Get current price and also the current date, convert it to a datetime.date, then make a string from it in mm/dd/YYYY format\n",
"current_price = last2months[-1:].values[0][0]\n",
"last_date = last2months[-1:].index\n",
"current_date_unformatted = date(last_date.year[0], last_date.month[0], last_date.day[0])\n",
"current_date = datetime.strftime(current_date_unformatted, \"%m/%d/%Y\")\n",
"\n",
"####################### Let's make the bottom plot ######################\n",
"axes[1] = fig.add_axes([0, 0, 1.5, 1]) # left, bottom, width, height\n",
"\n",
"# Format the x-axis tick labels as mm/dd/YYYY format, turn on grid for major ticks\n",
"dayFmt = DateFormatter(\"%b-%d-%Y\")\n",
"axes[1].xaxis.set_major_locator(day) # Make x-axis tick interval to be daily interval size\n",
"axes[1].xaxis.set_major_formatter(dayFmt)\n",
"axes[1].xaxis.grid(which='major')\n",
"\n",
"# Format the y-axis\n",
"y_major_ticks = MultipleLocator(20)\n",
"axes[1].yaxis.set_major_locator(y_major_ticks)\n",
"axes[1].yaxis.set_ticks_position('right') # Not sure why 'both' don't work\n",
"axes[1].yaxis.set_label_position('right')\n",
"axes[1].yaxis.grid(which='major')\n",
"\n",
"# Plot the data...\n",
"axes[1].plot_date(last2months.index, last2months.values, 'r')\n",
"axes[1].set_title(\"Current Value@\"+current_date+\": \"+str(current_price), weight=\"bold\", size=10)\n",
"# MATPLOTLIB does not have a good way of creating a title with 2 rows of text with different font sizes\n",
"# Below is a workaround(http://matplotlib.org/users/text_intro.html), sort of \"hackish\" and requires trial and error (x,y)\n",
"axes[1].text(.22,1.07, \"Last 2 Calendar Months of Bitcoin Values in US$\", transform=axes[1].transAxes,\n",
" weight=\"bold\", size=14)\n",
"axes[1].set_xlabel(\"Month - Day - Year\")\n",
"axes[1].set_ylabel(\"US$\")\n",
"plt.setp(axes[1].get_xticklabels(), rotation=-90, size=8)\n",
"plt.setp(axes[1].get_yticklabels(), size=9)\n",
"plt.show()"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "display_data",
"png": 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eJ4tiW/phbMnhi43ZbMzksjWbrblA2bzGxkwuG7PZmMllc7bS8mRRLCIiIiISSOopFhER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ulJubS8+fP6fatWuTUqmkuLi4It3GIiIiyNHRkeLj40mlUlG3bt3o9OnTOuXYuHFjSkxMLLLP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\nP+aygq9WVzlIAAAAAElFTkSuQmCC\n",
"text": [
"<matplotlib.figure.Figure at 0x7263990>"
]
}
],
"prompt_number": 130
}
],
"metadata": {}
}
]
}
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