Python 如何在多个文件的打印之间打印最小-最大填充？

提前感谢您的帮助！（代码如下）（）

我正在尝试从第二个CSV（上图）导入数据，并基于该CSV数据在此绘图中添加第二行。这样做的最佳方法是什么？（下图）

曲线图上的曲线代表数据范围

import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import warnings
warnings.filterwarnings('ignore')

raw_data = pd.read_csv('all-deep-soil-temperatures.csv', index_col=1, parse_dates=True)
df_all_stations = raw_data.copy()

selected_soil_station = 'Minot'
df_selected_station = df_all_stations[df_all_stations['Station'] == selected_soil_station]
df_selected_station.fillna(method = 'ffill', inplace=True);
df_selected_station_D=df_selected_station.resample(rule='D').mean()
df_selected_station_D['Day'] = df_selected_station_D.index.dayofyear
mean=df_selected_station_D.groupby(by='Day').mean()
mean['Day']=mean.index

maxx=df_selected_station_D.groupby(by='Day').max()
minn=df_selected_station_D.groupby(by='Day').min()
mean['maxx20']=maxx['20 cm']
mean['minn20']=minn['20 cm']

plt.style.use('ggplot')
bx = mean.plot(x='Day', y='20 cm',color='black')
plt.fill_between(mean['Day'],mean['minn20'],mean['maxx20'],color='blue',alpha = 0.2);
bx.set_xlabel("Day of the year")
bx.set_ylabel("Temperature in Celsius")
bx.set_title("Soil Temp, Air Temp, and Snow Depth for " + str(selected_soil_station))

我所拥有的：

我想要的：

样本数据

• 所有深层土壤温度.csv

• allStationsDailyAirTemp1.csv

• 请参阅使用新代码的内联符号
• 删除了

  plt.style。使用（'ggplot'）

  ，因为这样很难在

  颜色之间看到
  填充

• 也看到
• 不要使用

• 将另一个文件中的数据加载到单独的数据帧中
• 清理并根据需要聚合新数据
  • 将日期列设置为日期时间格式
  • 每年的某一天

  • groupby

    年度天数和合计

    平均值

    ，

    最低值

    ，和

    最高值

    温度
• 将新数据绘制到与原始绘图相同的

  轴上，
  bx

df_all_station=pd.read_csv（'data/so_data/2020-09-29 64128817/all deep seal temperatures.csv'，index_col=1，parse_dates=True）
#加载空气温度数据
at=pd.read\U csv（'data/so\U data/2020-09-29 64128817/allStationsDailyAirTemp1.csv'））
#将日期设置为日期时间格式
at.Date=pd.to_datetime（at.Date）
#每年的某一天
在['doy']=at.Date.dt.dayofyear
#从Minot中选择数据
at=at[at.Station=='Minot']
#分组依据年度日期（doy）和合计最小最大值和平均值
atg=at.groupby（'doy'）['Temp'].agg（[min，max，'mean']）
所选土壤站='Minot'
df_selected_station=df_all_stations[df_all_stations['station']==selected_soil_station]。复制（）#在此处复制，否则会出现警告
df_selected_station.fillna（方法='ffill'，inplace=True）
df_selected_station_D=df_selected_station.重新采样（规则='D'）。平均值（）
df_选择的_站_D['Day']=df_选择的_站_D.index.dayofyear
mean=df\u所选站点\u D.groupby（by='Day'）。mean（）
平均[日]=平均指数
maxx=df_selected_station_D.groupby（by='Day'）.max（）
minn=df_selected_station_D.groupby（by='Day'）.min（）
平均值['maxx20']=maxx['20 cm']
平均值['minn20']=minn['20cm']
bx=平均图（x='Day'，y='20cm'，颜色='black'，figsize=（9,6），标签='20cm土壤温度'）
填充量介于（平均值['Day'，平均值['minn20'，平均值['maxx20'，颜色='blue'，α=0.2，标签='20cm土壤温度范围'）
#将空气温度图添加到ax=bx的bx图中
atg[“平均值”]绘图（ax=bx，标签=“平均空气温度”）
#将绘图之间的空气温度填充添加到bx绘图
bx.填充介于（atg.index、atg['min']、atg['max']、color='青色'，alpha=0.2、label='Air Temp Range'）
bx.设置标签（“一年中的某一天”）
bx.set_ylabel（“摄氏温度”）
bx.设置标题（“土壤温度、空气温度和”+str（选定土壤站））的雪深）
#网格
bx.grid（）
#设置图例位置
图例（bbox_to_anchor=（1.05,1），loc='左上角'）
#删除边距空间
利润率（0,0）
plt.show（）

---

谢谢你的帮助，特伦顿！

Station,Time,5 cm,10 cm,20 cm,30 cm,40 cm,50 cm,60 cm,80 cm,100 cm,125 cm,150 cm,175 cm,200 cm,225 cm
Adams,2018-06-21 1700,32.8,27.74,23.06,20.28,18.16,16.64,15.33,13.07,11.19,9.35,7.919,6.842,6.637,5.686
Adams,2018-06-21 1800,31.78,27.66,23.41,20.52,18.31,16.77,15.46,13.23,11.34,9.51,8.06,6.894,6.681,5.781
Adams,2018-06-21 1900,30.5,27.24,23.61,20.73,18.54,17.02,15.73,13.51,11.63,9.8,8.36,7.262,6.681,5.893
Adams,2018-06-21 2000,29.12,26.74,23.72,20.9,18.66,17.14,15.85,13.62,11.8,10.03,8.69,7.65,6.684,5.904
Adams,2018-06-21 2100,27.5,26.08,23.74,21.07,18.86,17.36,16.12,13.96,12.19,10.43,9.11,8.1,6.823,6.069
Adams,2018-06-21 2200,26.05,25.41,23.66,21.2,18.98,17.43,16.15,13.96,12.15,10.41,9.09,8.11,6.909,6.164
Adams,2018-06-21 2300,24.89,24.75,23.48,21.21,19.01,17.42,16.1,13.9,12.07,10.33,9.01,7.997,6.886,6.132
Adams,2018-06-22 0000,24.09,24.19,23.31,21.22,19.06,17.43,16.1,13.88,12.04,10.31,8.97,7.964,6.887,6.125
Adams,2018-06-22 0100,23.49,23.74,23.11,21.2,19.1,17.49,16.13,13.87,12.01,10.23,8.88,7.89,6.89,6.128
Adams,2018-06-22 0200,22.92,23.3,22.91,21.19,19.15,17.53,16.16,13.88,12.02,10.25,8.91,7.911,6.902,6.14
Adams,2018-06-22 0300,22.32,22.86,22.68,21.11,19.14,17.52,16.14,13.84,11.98,10.21,8.87,7.858,6.892,6.121
Adams,2018-06-22 0400,21.81,22.46,22.44,21.05,19.15,17.55,16.16,13.85,11.99,10.21,8.86,7.84,6.899,6.111
Williston,2020-09-21 0500,14.69,15.29,15.61,15.68,15.48,15.22,14.99,14.7,14.51,14.27,14.06,13.85,,
Williston,2020-09-21 0600,14.39,15.09,15.49,15.61,15.43,15.19,14.99,14.68,14.46,14.2,13.97,13.73,,
Williston,2020-09-21 0700,14.16,14.93,15.39,15.56,15.4,15.18,14.99,14.69,14.47,14.22,13.99,13.74,,
Williston,2020-09-21 0800,13.72,14.54,15.05,15.22,15.05,14.84,14.68,14.37,14.09,13.92,13.64,13.35,,
Williston,2020-09-21 0900,13.64,14.35,14.87,15.08,14.95,14.78,14.63,14.32,14.04,13.88,13.61,13.33,,
Williston,2020-09-21 1000,13.9,14.33,14.79,15.06,14.99,14.85,14.72,14.41,14.14,13.99,13.74,13.51,,
Williston,2020-09-21 1100,14.46,14.43,14.78,15.07,15.04,14.93,14.78,14.49,14.24,14.07,13.84,13.62,,
Williston,2020-09-21 1200,15.34,14.77,14.89,15.15,15.17,15.09,14.97,14.7,14.47,14.28,14.06,13.87,,
Williston,2020-09-21 1300,16.26,15.19,15.03,15.22,15.28,15.24,15.16,14.89,14.69,14.49,14.28,14.06,,
Williston,2020-09-21 1400,17.2,15.74,15.24,15.29,15.35,15.31,15.24,15,14.82,14.62,14.41,14.22,,
Williston,2020-09-21 1500,18.04,16.35,15.54,15.35,15.37,15.32,15.23,14.97,14.77,14.55,14.35,14.15,,
Williston,2020-09-21 1600,18.59,16.89,15.83,15.42,15.36,15.28,15.16,14.89,14.69,14.47,14.28,14.09,,
Williston,2020-09-21 1700,18.68,17.21,16.1,15.52,15.4,15.3,15.23,14.95,14.78,14.54,14.35,14.14,,

Station,Date,Temp
Adams,2018-06-21,22.723
Adams,2018-06-22,23.358
Adams,2018-06-23,20.986
Adams,2018-06-24,20.524
Adams,2018-06-25,19.699
Adams,2018-06-26,22.146
Adams,2018-06-27,21.239
Adams,2018-06-28,21.367
Adams,2018-06-29,20.701
Adams,2018-06-30,18.613
Adams,2018-07-01,19.376
Adams,2018-07-02,19.079
Adams,2018-07-03,20.747
Adams,2018-07-04,19.622
Adams,2018-07-05,18.029
Adams,2018-07-06,18.883
Adams,2018-07-07,25.655
Adams,2018-07-08,22.953
Adams,2018-07-09,20.281
Williston,2020-09-05,21.69
Williston,2020-09-06,16.595
Williston,2020-09-07,5.917
Williston,2020-09-08,3.863
Williston,2020-09-09,8.996
Williston,2020-09-10,14.488
Williston,2020-09-11,15.689
Williston,2020-09-12,16.002
Williston,2020-09-13,11.219
Williston,2020-09-14,16.695
Williston,2020-09-15,12.77
Williston,2020-09-16,9.523
Williston,2020-09-17,13.186
Williston,2020-09-18,16.992
Williston,2020-09-19,16.85
Williston,2020-09-20,17.235
Williston,2020-09-21,17.595
Williston,2020-09-22,19.115
Williston,2020-09-23,16.43
Williston,2020-09-24,21.035
Williston,2020-09-25,17.01
Williston,2020-09-26,14.109