[英]How do you plot a vertical line on a time series plot in Pandas?
vlines
)?vlines
或类似的东西来完成此操作?datetime
。plt.axvline(x_position)
它采用标准绘图格式选项( linestlye
、 color
等)
如果您有对axes
对象的引用:
ax.axvline(x, color='k', linestyle='--')
如果您有时间轴,并且将 Pandas 导入为 pd,则可以使用:
ax.axvline(pd.to_datetime('2015-11-01'), color='r', linestyle='--', lw=2)
对于多行:
xposition = [pd.to_datetime('2010-01-01'), pd.to_datetime('2015-12-31')]
for xc in xposition:
ax.axvline(x=xc, color='k', linestyle='-')
DataFrame 绘图函数返回AxesSubplot
对象,您可以在其上添加任意数量的行。 看看下面的代码示例:
%matplotlib inline
import pandas as pd
import numpy as np
df = pd.DataFrame(index=pd.date_range("2019-07-01", "2019-07-31")) # for sample data only
df["y"] = np.logspace(0, 1, num=len(df)) # for sample data only
ax = df.plot()
# you can add here as many lines as you want
ax.axhline(6, color="red", linestyle="--")
ax.axvline("2019-07-24", color="red", linestyle="--")
matplotlib.pyplot.vlines
pandas.to_datetime
将列转换为datetime
dtype。ymin
和ymax
被指定为特定的 y 值,而不是ylim
的百分比fig, axes = plt.subplots()
类的东西引用axes
,则将plt.xlines
更改为axes.xlines
python 3.10
、 pandas 1.4.2
、 matplotlib 3.5.1
、 seaborn 0.11.2
from datetime import datetime
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns # if using seaborn
# configure synthetic dataframe
df = pd.DataFrame(index=pd.bdate_range(datetime(2020, 6, 8), freq='1d', periods=500).tolist())
df['v'] = np.logspace(0, 1, num=len(df))
# display(df.head())
v
2020-06-08 1.000000
2020-06-09 1.004625
2020-06-10 1.009272
2020-06-11 1.013939
2020-06-12 1.018629
matplotlib.pyplot.plot
或matplotlib.axes.Axes.plot
fig, ax = plt.subplots(figsize=(9, 6))
ax.plot('v', data=df, label='v')
ax.set(xlabel='date', ylabel='v')
pandas.DataFrame.plot
ax = df.plot(ylabel='v', figsize=(9, 6))
seaborn.lineplot
fig, ax = plt.subplots(figsize=(9, 6))
sns.lineplot(data=df, ax=ax)
ax.set(ylabel='v')
y_min = df.v.min()
y_max = df.v.max()
# add x-positions as a list of date strings
ax.vlines(x=['2020-07-14', '2021-07-14'], ymin=y_min, ymax=y_max, colors='purple', ls='--', lw=2, label='vline_multiple')
# add x-positions as a datetime
ax.vlines(x=datetime(2020, 12, 25), ymin=4, ymax=9, colors='green', ls=':', lw=2, label='vline_single')
ax.legend(bbox_to_anchor=(1.04, 0.5), loc="center left")
plt.show()
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