Python 以偶数间隔绘制无连续天数
我正在使用下面的函数绘制一个图表，显示6年内每年2个月的数字Python 以偶数间隔绘制无连续天数,python,pandas,matplotlib,Python,Pandas,Matplotlib,我正在使用下面的函数绘制一个图表，显示6年内每年2个月的数字 def plot_report(property_type, first_period, year_periods, month_periods): reporting_periods = get_reporting_periods(first_period, year_periods, month_periods) data = get_rows(df, property_type, reporting_period
def plot_report(property_type, first_period, year_periods, month_periods):
reporting_periods = get_reporting_periods(first_period, year_periods, month_periods)
data = get_rows(df, property_type, reporting_periods)
suburbs = data.groupby(['state', 'suburb'])
fig, ax = plt.subplots()
for i, suburb in suburbs:
suburb.plot(x='yrend', y='median_price', ax=ax, linewidth=2)
ax.xaxis.set_ticks(reporting_periods)
ax.xaxis.set_major_formatter(DateFormatter("%b %y"))
ax.yaxis.set_major_formatter(formatter)
ax.grid(False)
ax.legend().set_visible(False)
fig.autofmt_xdate()
locs, labels = plt.xticks()
plt.setp(labels, rotation=90)
return plt.show()
[datetime.datetime(2004, 12, 1, 0, 0), datetime.datetime(2005, 1, 1, 0, 0), datetime.datetime(2003, 12, 1, 0, 0), datetime.datetime(2004, 1, 1, 0, 0), datetime.datetime(2002, 12, 1, 0, 0), datetime.datetime(2003, 1, 1, 0, 0), datetime.datetime(2001, 12, 1, 0, 0), datetime.datetime(2002, 1, 1, 0, 0), datetime.datetime(2000, 12, 1, 0, 0), datetime.datetime(2001, 1, 1, 0, 0), datetime.datetime(1999, 12, 1, 0, 0), datetime.datetime(2000, 1, 1, 0, 0)]
import pandas as pd
from StringIO import StringIO
table = """suburb state house yrend median_price
CHARNWOOD ACT H 31/01/91 0:00 91000
CHARNWOOD ACT H 28/02/91 0:00 90000
...
BRUCE ACT H 30/11/96 0:00 312000
"""
table = table.replace("0:00", "")
sio = StringIO(table)
df = pd.read_table(sio, sep=r"\s+", parse_dates=['yrend'])
df = df.pivot(index="yrend", columns="suburb", values="median_price")
df.plot()
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import matplotlib.dates as dates
from matplotlib.ticker import FuncFormatter, NullFormatter
import pylab
from StringIO import StringIO
table = table.replace("0:00", "")
sio = StringIO(table)
df = pd.read_table(sio, sep=r"\s+", parse_dates=['yrend'])
df = df.pivot_table(index=["yrend"], columns=["state","suburb"], values=["median_price"])
fig, ax = plt.subplots()
# plot the lines
for col in df.columns:
ax.plot(df.index, df[col])
# tune the tickers
locator = dates.MonthLocator(range(1, 13), bymonthday=1, interval=6)
ax.xaxis.set_minor_locator(locator)
def _monthFmt(x, pos):
dt = pylab.num2date(x)
return dt.strftime('%Y') if dt.month == 2 else dt.strftime("%b")
formatter = FuncFormatter(_monthFmt)
ax.xaxis.set_minor_formatter(formatter)
# quiet major formatter - default the years
ax.xaxis.set_major_formatter(NullFormatter())
ax.xaxis.grid(True, which="minor")
ax.yaxis.grid()
plt.show()
ax.xaxis.set_major_locator(YearLocator())