在Matplotlib图
我有一个如下所示的数据框：
MTGP_value MTGP PHP_value PHP WMTGP_value WMTGP
-0.0643 0 -0.0743 0.006004563 -0.0703 0
-0.0626 0.0052669 -0.072 0 -0.0685 0
-0.0609 0.00790035 -0.0697 0 -0.0667 0
-0.0592 0 -0.0673 0.012009127 -0.065 0
-0.0575 0 -0.065 0.012009127 -0.0632 0.002322503
-0.0559 0.0052669 -0.0627 0.006004563 -0.0614 0
-0.0542 0 -0.0604 0.006004563 -0.0597 0
-0.0525 0 -0.058 0.012009127 -0.0579 0.004645005
-0.0508 0.00790035 -0.0557 0 -0.0561 0.002322503
-0.0491 0.00790035 -0.0534 0.006004563 -0.0544 0.004645005
-0.0474 0.0105338 -0.0511 0.012009127 -0.0526 0.011612514
-0.0457 0.0105338 -0.0488 0.048036508 -0.0509 0.002322503
-0.0441 0.026334501 -0.0464 0.030022817 -0.0491 0.009290011
-0.0424 0.079003502 -0.0441 0.102077579 -0.0473 0.009290011
-0.0407 0.197508756 -0.0418 0.246187102 -0.0456 0.018580022
-0.039 0.474021015 -0.0395 0.444337697 -0.0438 0.034837541
-0.0373 0.94804203 -0.0371 0.942716465 -0.042 0.069675082
-0.0356 1.727543254 -0.0348 1.92146031 -0.0403 0.157930186
-0.034 3.046901746 -0.0325 3.39257836 -0.0385 0.336762896
-0.0323 4.371527138 -0.0302 6.004563468 -0.0367 0.68978331
-0.0306 6.133305243 -0.0279 8.148192626 -0.035 1.203056414
-0.0289 8.029389303 -0.0255 10.39389936 -0.0332 2.090252456
-0.0272 9.290811893 -0.0232 11.58880749 -0.0314 3.379241471
-0.0255 10.39949438 -0.0209 12.4594692 -0.0297 5.237243654
-0.0239 10.75501014 -0.0186 13.0178936 -0.0279 7.127760875
-0.0222 10.23358702 -0.0162 13.29410352 -0.0261 8.964860534
-0.0205 9.364548495 -0.0139 10.2557944 -0.0244 10.94131036
-0.0188 7.989887552 -0.0116 5.710339858 -0.0226 11.74025129
-0.0171 5.996365839 -0.00928 1.78335535 -0.0209 11.87727896
-0.0154 4.853448503 -0.00695 0.126095833 -0.0191 10.70209258
-0.0137 3.328680905 -0.00463 0 -0.0173 9.255173375
-0.0121 1.922418561 -0.00231 0 -0.0156 7.346076132
-0.0104 0.679430121 1.36E-05 0 -0.0138 5.371948812
-0.00869 0.094804203 0.00234 0 -0.012 2.552430499
-0.00701 0 0.00466 0 -0.0103 0.761780895
-0.00532 0 0.00698 0 -0.0085 0.092900109
-0.00364 0 0.0093 0 -0.00674 0
-0.00195 0 0.0116 0 -0.00497 0
-0.000269 0 0.0139 0 -0.00321 0
0.00142 0 0.0163 0 -0.00144 0
0.0031 0 0.0186 0.006004563 0.000321 0
0.00478 0 0.0209 0 0.00209 0
0.00647 0 0.0232 0 0.00385 0
0.00815 0 0.0256 0.006004563 0.00561 0
0.00984 0 0.0279 0 0.00738 0
0.0115 0 0.0302 0 0.00914 0
0.0132 0 0.0325 0 0.0109 0
0.0149 0 0.0349 0 0.0127 0
0.0166 0 0.0372 0 0.0144 0
0.0183 0.00263345 0.0395 0.006004563 0.0162 0.002322503
列MTGP，PHP和WMTP表示相应列的频率（以百分比表示）。我想在x轴上绘制MTGP_value，PHP_value和MTGP_value的图表，并在y轴上绘制频率。我正在使用此代码：
import pandas as pd
import matplotlib.pyplot as plt
from matplotlib.backends.backend_pdf import PdfPages
with PdfPages(C:\out_path_way\graphs.pdf')) as pdf:
plot=df.plot(x=df[[col for col in df.columns if 'value' in col]].min(axis=1), y=['WMTGP', 'MTGP', 'PHP'], title='GDD', lw=2.5)
plot.set_xlabel('SWIR32 Value')
plot.set_ylabel('Percent')
fig=plt.gcf()
plot.legend(loc='center left', bbox_to_anchor=(1, 0.5))
pdf.savefig(fig, bbox_inches='tight', pad_inches=0)
plt.close(fig)
返回：
但是当我在Excel中制作图表时，没有指定x轴（只是绘制MTGP，PHP和WMTGP）我得到了这个，这就是我想要的看起来像：
我很确定我的代码中的问题是这一行：
plot=df.plot(x=df[[col for col in df.columns if 'value' in col]].min(axis=1), y=['WMTGP', 'MTGP', 'PHP'], title='GDD', lw=2.5)
我要对该行进行的操作是确保MTGP_value，PHP_value和WMTGP_value的整个值范围都包含在x轴中，但它并不是＆＃39似乎是这样做的。
编辑： 问题可能会出现，因为我循环遍历多个文件并使用groupby制作图表。整个代码段是这样的：
import pandas as pd, os
from simpledbf import Dbf5
import matplotlib.pyplot as plt
from matplotlib.backends.backend_pdf import PdfPages
import numpy as np
out=r'F:\Sheyenne\Pixel_Regression\GAP_histos\intersects'
#
folders=r'F:\Sheyenne\Pixel_Regression\GAP_histos\intersects'
for folder in os.listdir(folders):
if not os.path.isdir(os.path.join(out,folders,folder,'figures')):
os.mkdir(os.path.join(out,folders,folder,'figures'))
for sub in os.listdir(os.path.join(folders,folder)):
if ('monthly' not in sub) and ('figures' not in sub):
if not os.path.isdir(os.path.join(out,folders,folder,'figures',sub)):
os.mkdir(os.path.join(out,folders,folder,'figures',sub))
#
for f in os.listdir(os.path.join(folders,folder,sub)):
if '.dbf' in f:
table = Dbf5(os.path.join(folders, folder, sub,f))
df = table.to_dataframe()
df=df.iloc[:, (-1,-7,-6,-5)]
df=df[df.iloc[:,0] .isin (['planted herbaceous perennials', 'prairie - mesic tall grass', 'prairie - wheatgrass prairie', 'prairie - bluestem-needlegrass-wheatgrass', 'prairie - sand', 'wetland - palustrine seasonal', 'wetland - palustrine semipermanent', 'woodland - deciduous', 'wetland - palustrine temporary', 'prairie - wet-mesic tall grass', 'woodland - floodplain', 'shrubland - lowland deciduous', 'wetland - riverine'])]
replacements = {'planted herbaceous perennials': 'PHP', 'prairie - mesic tall grass': 'MTGP', 'prairie - wheatgrass prairie': 'WGP', 'prairie - bluestem-needlegrass-wheatgrass': 'BNW', 'prairie - sand': 'SP', 'wetland - palustrine seasonal': 'Wetland', 'woodland - deciduous': 'Forest', 'wetland - palustrine temporary': 'Wetland', 'prairie - wet-mesic tall grass' : 'WMTGP', 'woodland - floodplain': 'Forest', 'shrubland - lowland deciduous': 'Shrubland', 'wetland - riverine': 'Wetland', 'wetland - palustrine semipermanent': 'Wetland'}
df.replace(replacements, regex=True, inplace=True)
df=df[df.iloc[:,0] .isin (['WMTGP', 'MTGP', 'PHP'])]
df=df[df.iloc[:,3] .isin (['Yes'])]
list1=[]
for i, outgrp in df.groupby(['LAND_COVER']):
minimum=outgrp.iloc[:,1].min()
maximum=outgrp.iloc[:,1].max()
bins=np.linspace(minimum,maximum,51)
categories=pd.cut(outgrp.iloc[:,1],bins)
outgrp['categories']=pd.cut(outgrp.iloc[:,1], bins)
outgrp['Frequencies']=1
outgrp2=outgrp.groupby(['categories'])[['Frequencies']].sum().fillna(0).reset_index()
outgrp2['Frequencies']=outgrp2.Frequencies/outgrp2.Frequencies.sum()*100
outgrp2.rename(columns={'categories': i +'_value','Frequencies': i }, inplace=True)
outgrp2.iloc[:,0]=outgrp2.iloc[:,0].str.replace('(','')
outgrp2.iloc[:,0]=outgrp2.iloc[:,0].str.replace(']','')
outgrp2.iloc[:,0]=outgrp2.iloc[:,0].map(lambda x: x.split(',')[1])
outgrp2.sort_values(by= i + '_value', inplace=True)
list1.append(outgrp2)
frame=pd.concat(list1, axis=1)
with PdfPages(os.path.join(out,folders,folder,'figures',sub,sub+'_GAP_graphs.pdf')) as pdf:
plot=frame.plot(x=frame[[col for col in frame.columns if 'value' in col]].min(axis=1), y=['WMTGP', 'MTGP', 'PHP'], title=folder.split('_')[0], lw=2.5)
plot.set_xlabel(sub + ' Value')
plot.set_ylabel('Percent')
fig=plt.gcf()
plot.legend(loc='center left', bbox_to_anchor=(1, 0.5))
pdf.savefig(fig, bbox_inches='tight', pad_inches=0)
plt.close(fig)
在此示例中，frame代表我原始示例中的df。
0 个答案:
没有答案
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