时间刻度决定了坐标轴上显示日期的间隔。使用mdates.DayLocator()可以设置日期间隔为每天: ax.xaxis.set_major_locator(mdates.DayLocator()) 你还可以使用其他定位器,例如mdates.HourLocator()、mdates.WeekdayLocator()等,根据需要调整间隔。 3. 自动旋转日期标签 为了防止日期标签重叠,可以使用fig.autofmt_xdate()...
# 以周一作为主刻度 ma_loc = md.WeekdayLocator(byweekday=) # 次刻度,除周一外的日期 mi_loc = md.DayLocator() ax.xaxis.set_major_locator(ma_loc) ax.xaxis.set_major_formatter(md.DateFormatter('%Y-%m-%d')) ax.xaxis.set_minor_locator(mi_loc) # 日期数据类型转换,更适合绘图 dates = ...
1. 前言 当日期数据作为图表的坐标轴时通常需要特殊处理，应为日期字符串比较长，容易产生重叠现象 2. 设定主/次刻度 2.1 引用库 from matplotlib.dates import DateFormatter, WeekdayLocator, DayLocator, MONDAY,YEARLY1 2.2 获取每月/周/日数据 获取每月一日数据 monthdays = MonthLocator()1 获取...
date2 = (2016, 1, 1) # 结束日期,格式:(年,月,日)元组 mondays = WeekdayLocator(MONDAY) # 主要刻度 alldays = DayLocator() # 次要刻度 #weekFormatter = DateFormatter('%b %d') # 如:Jan 12 mondayFormatter = DateFormatter('%m-%d-%Y') # 如:2-29-2015 dayFormatter = DateFormatter('%d...
from matplotlib.dates import DateFormatter, WeekdayLocator, DayLocator, MONDAY from matplotlib.dates import date2num import matplotlib.ticker as ticker 2. 准备数据 K线图通常需要开盘价(Open)、最高价(High)、最低价(Low)和收盘价(Close)数据。可以从金融数据提供商如Yahoo Finance、Alpha Vantage等获取数据...
frommatplotlib.financeimportcandlestick_ohlcfrommatplotlib.datesimportDateFormatter, WeekdayLocator, DayLocator, MONDAYdefpandas_candlestick_ohlc(stock_data, otherseries=None):# 设置绘图参数,主要是坐标轴mondays = WeekdayLocator(MONDAY) alldays = DayLocator() dayFormatter = DateFormatter('%d') fig, ax =...
df_month.loc[:, 'pct_change'] = df.Close.pct_change()*100fig, ax = plt.subplots()df_month['pct_change' ].plot(kind='bar', color='coral', ax=ax)ax.xaxis.set_major_locator(mdates.WeekdayLocator())ax.xaxis.set_major_formatter(mdates.DateFormatter('%b %d'))plt.xticks(rotation=...
mondays = WeekdayLocator(MONDAY) alldays = DayLocator() dayFormatter = DateFormatter('%d') transdat = dat.loc[:,["Open", "High", "Low", "Close"]] if (type(stick) == str): if stick == "day": plotdat = transdat stick = 1 ...
mondays = WeekdayLocator(MONDAY) # major ticks on the mondays alldays = DayLocator() # minor ticks on the days dayFormatter = DateFormatter('%d') # e.g., 12 # Create a new DataFrame which includes OHLC data for each period specified by stick input ...
frommatplotlib.dates importDateFormatter,WeekdayLocator,DayLocator,MONDAY defpandas_candlestick_ohlc(stock_data,otherseries=None): # 设置绘图参数,主要是坐标轴 mondays=WeekdayLocator(MONDAY) alldays=DayLocator() dayFormatter=DateFormatter('%d') fig,ax=plt.subplots() ...