plt.plot(df['date'], df['value'], marker='o') plt.title('Sample Plot with Date on X-axis') plt.xlabel('Date') plt.ylabel('Value') plt.grid(True) 设置日期格式 plt.gca().xaxis.set_major_formatter(mdates.DateFormatter('%Y-%m-%d')) plt.gca().xaxis.set_major_locator(mdates....
4,1),datetime(2020,5,1),datetime(2020,6,1)]y=[0,4,3,7,9,5]fig,ax=plt.subplots()ax.plot(x,y)ax.xaxis.set_major_locator(mdates.MonthLocator())ax.xaxis.set_major_formatter(mdates.DateFormatter('%b %Y'))plt.show()
(10,6)) 27 ax = fig.add_subplot(111) 28 29 ax.plot(fcst_t, fcst['yhat'], ls='-', c='#0072B2') 30 31 locator = AutoDateLocator(interval_multiples=False) 32 formatter = AutoDateFormatter(locator) 33 ax.xaxis.set_major_locator(locator) 34 ax.xaxis.set_major_formatter(formatter...
系统管理员和开发者经常需要监控服务器或个人电脑的性能,以便及时发现瓶颈、优化资源利用率,甚至预测潜在问题。Python 的psutil库提供了一个强大、跨平台的方式来获取各种系统指标,如 CPU 使用率、内存占用、磁盘 I/O、网络流量等。本文将深入探讨psutil的功能,结合大量代码示例(包括详细的中文注释)和 LaTeX 数学公式,...
'axes.unicode_minus']=False #用来正常显示负号 df.groupby('区域')['销售额'].sum().plot.bar...
from datetime import datetime fig = plt.figure() ax = fig.add_subplot(1, 1, 1) data = pd.read_csv('examples/spx.csv', index_col=0, parse_dates=True) spx = data['SPX'] spx.plot(ax=ax, style='k-') crisis_data = [ (datetime(2007, 10, 11), 'Peak of bull market'), (da...
def fill_missing_date(df: pd.DataFrame(), column_datetime: str ='DATE_TIME'): print(f'输入形状: {df.shape}') data_s = df.drop([column_datetime], axis=1) datetime_s = df[column_datetime].astype(str) start_date = min(df[column_datetime]) ...
s3 = figure(width=250, height=250, x_range=s1.x_range, title='deep learning') #share only one axis ranges3.square(df['Mes'], df['deep learning'], size=5, color='green', alpha=0.5)p = gridplot([[s1, s2, s3]])save(p)结果如下: 6. altair我认为Altair不会给我们已经与其他...
tick_params(axis='both',**kwargs) 1. 案例二: 1.代码如下: import matplotlib.pyplot as plt from datetime import datetime from matplotlib.dates import DateFormatter, HourLocator ax = plt.gca() hour_loc = HourLocator(interval=2) date_fmt = DateFormatter('%Y/%m/%d') ...
plt.title('Simple Line Plot') plt.xlabel('X Axis') plt.ylabel('Y Axis') plt.show() 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 3. Seaborn进阶:统计图形之美 Seaborn基于Matplotlib之上,提供了更高级的接口用于绘制统计图形。 安装Seaborn: ...