python subplot

Owner #: @aviviguixiang 
# CreateTime: 2019/7/22 
# mission: Mans 20190326-20190328,20190330-20190401 meteorological field monitoring data hourly polyline 

Import PANDAS AS pd 
Import matplotlib.pyplot AS plt 
Import matplotlib.font_manager AS fm 
zhfont1 . = FM FontProperties ( fname = r'D: \ pycharm_project \ 190 325 \ taihexian \ Data \ SIMKAI.TTF ') 


DEF Draw ( Data, A, B, P1, P2, P3, P4, P5, P6) : 
Fig, ( ax00, AX10, AX20, AX30) = PLT. subplots ( . 4, . 1, sharex = True, figsize=(10, 11))
 # fig, ax = plt.subplots(4, 1, figsize=(10, 11))
 ax00 .plot(data.loc[a:b,p1].values,'k-',linewidth=2)
 ax00.set_ylabel(r'温度(℃)',fontproperties=zhfont1,size=12)
 ax10 .plot(data.loc[a:b,p2].values,'k-',linewidth=2)
 ax10.set_ylabel(r'十米风速(m/s)', fontproperties=zhfont1, size=12)
 ax20 .plot(data.loc[a:b,p3].values,'k-',linewidth=2)
 ax20.set_ylabel(r'气压(hPa)', fontproperties=zhfont1, size=12)
 ax30 .plot(data.loc[a:b,p4].values,'k-',linewidth=2)
 ax30.set_ylabel(r'相对湿度(%)', fontproperties=zhfont1, size=12)
 x_lable=list(data.loc[a:b,p6].values[0:72:10])
 print(x_lable)
 # x_lable.append(data.loc[a:b,p6].values[0])
 new_x=sorted(x_lable)
 print(type(new_x))
 plt.xlim(0,71)
 ax30.set_xlabel('日期', fontproperties=zhfont1, size=12)
 ax30.set_xticklabels(new_x, fontproperties=zhfont1, size=12)
 print(new_x)
 plt.savefig(r'D:\pycharm_project\1205\mangshi\png\qi_2.png')
 plt.show()


def draw_1(data,a,b,p1,p2,p3,p4,p5,p6):
 fig,(ax00, ax10, ax20, ax30,ax40) = plt.subplots(5, 1, sharex=True,figsize=(10, 11))
 # fig, ax = plt.subplots(4, 1, figsize=(10, 11))
 ax00 .plot(data.loc[a:b,p1].values,'k-',linewidth=2)
 ax00.set_ylabel(r'$PM_{2.5}$'+r'($\mu{g/m}^{3}$)',fontproperties=zhfont1,size=12)
 ax10 .plot(data.loc[a:b,p2].values,'k-',linewidth=2)
 ax10.set_ylabel(r'$PM_{10}$'+r'($\mu{g/m}^{3}$)', fontproperties=zhfont1, size=12)
 ax20 .plot(data.loc[a:b,p3].values,'k-',linewidth=2)
 ax20.set_ylabel(r'CO'+r'($m{g/m}^{3}$)', fontproperties=zhfont1, size=12)
 ax30 .plot(data.loc[a:b,p4].values,'k-',linewidth=2)
 ax30.set_ylabel(r'$SO_{2}$'+r'($\mu{g/m}^{3}$)', fontproperties=zhfont1, size=12)
 ax40.plot(data.loc[a:b, p5].values,'k-',linewidth=2)
 ax40.set_ylabel(r'$NO_{2}$'+r'($\mu{g/m}^{3}$)', fontproperties=zhfont1, size=12)
 x_lable = list(data.loc[a:b, p6].values[0:72:10])
 print(x_lable)
 new_x = sorted(x_lable)
 print(type(new_x))
 plt.xlim(0, 71)
 ax40.set_xlabel('日期', fontproperties=zhfont1, size=12)
 ax40.set_xticklabels(new_x, fontproperties=zhfont1, size=12)
 print(new_x)
 plt.savefig(r'D:\pycharm_project\1205\mangshi\png\qi_4.png')
 plt.show()




if __name__ == '__main__':

 file=r'D:\pycharm_project\1205\mangshi\data\1\ms_0722.xlsx'
 data1=pd.read_excel(file,sheet_name='average')
 data2=pd.read_excel(file,sheet_name='56844')
 print(data1)
 # draw(data2,0,72,'TEM','WIN_S_Avg_10mi','PRS','RHU','','TimeStamp')
 # draw(data2,96,168,'TEM','WIN_S_Avg_10mi','PRS','RHU','','TimeStamp')
 # draw_1(data1,0,72,'pm25','pm10','co','so2','no2','aqitime')draw_1(data1,96,168,# Print (Data2)'Aqitime')'No2',','so'Co.','PM10','Pm25',