python从dataframe绘制多条曲线
我试图在一个图上画出几个电器的温度 数据来自下面的dataframe df,我首先创建date列作为索引python从dataframe绘制多条曲线,python,pandas,matplotlib,plot,Python,Pandas,Matplotlib,Plot,我试图在一个图上画出几个电器的温度 数据来自下面的dataframe df,我首先创建date列作为索引 df=df.set_index('Date') Date Appliance Value (degrees) 2016-07-05 03:00:00 Thermometer 22 2016-08-06 16:00:00 Thermometer . 19 2016-12-07 21:00:00 . Thermometer . 25
df=df.set_index('Date')
Date Appliance Value (degrees)
2016-07-05 03:00:00 Thermometer 22
2016-08-06 16:00:00 Thermometer . 19
2016-12-07 21:00:00 . Thermometer . 25
2016-19-08 23:00:00 . Thermostat . 21
2016-25-09 06:00:00 . Thermostat . 20
2016-12-10 21:00:00 . Thermometer . 18
2016-10-11 21:00:00 . Thermostat . 21
2016-10-12 04:00:00 . Thermometer . 20
2017-01-01 07:00:00 . Thermostat . 19
2017-01-02 07:00:00 . Thermometer . 23
我们希望能够显示两条曲线:一条是温度计的温度曲线,另一条是恒温器的温度曲线,随时间变化有两种不同的颜色
plt.plot(df.index, [df.value for i in range(len(appliance)]
ax = df.plot()
ax.set_xlim(pd.Timestamp('2016-07-05'), pd.Timestamp('2015-11-30'))
这样更好吗
我无法做到这一点当然有几种方法来绘制数据。 假设我们有这样一个数据帧
import pandas as pd
dates = ["2016-07-05 03:00:00", "2016-08-06 16:00:00", "2016-12-07 21:00:00",
"2016-19-08 23:00:00", "2016-25-09 06:00:00", "2016-12-10 21:00:00",
"2016-10-11 21:00:00", "2016-10-12 04:00:00", "2017-01-01 07:00:00",
"2017-01-02 07:00:00"]
app = ["Thermometer","Thermometer","Thermometer","Thermostat","Thermostat","Thermometer",
"Thermostat","Thermometer","Thermostat","Thermometer"]
values = [22,19,25,21,20,18,21,20,19,23]
df = pd.DataFrame({"Date" : dates, "Appliance" : app, "Value":values})
df.Date = pd.to_datetime(df['Date'], format='%Y-%d-%m %H:%M:%S')
df=df.set_index('Date')
使用matplotlib pyplot.plot
使用DataFrame.plot
import matplotlib.pyplot as plt
df1 = df[df["Appliance"] == "Thermostat"]
df2 = df[df["Appliance"] == "Thermometer"]
plt.plot(df1.index, df1["Value"].values, marker="o", label="Thermostat")
plt.plot(df2.index, df2["Value"].values, marker="o", label="Thermmeter")
plt.gcf().autofmt_xdate()
plt.legend()
df1 = df[df["Appliance"] == "Thermostat"]
df2 = df[df["Appliance"] == "Thermometer"]
ax = df1.plot(y="Value", label="Thermostat")
df2.plot(y="Value", ax=ax, label="Thermometer")
ax.legend()