熊貓鍵錯誤：0繪製海豹盒圖

Question

我使用下面的代碼來讀取Excel文件並使用seaborn軟件包繪製boxplot。

import scipy.stats as sps 
import pandas as pd 
import numpy as np 
import matplotlib.pyplot as plt 
import seaborn as sns 
from openpyxl import load_workbook 
sns.set() 


inpath=r"P:\Data.xlsx" 

df=pd.read_excel(io=inpath,header=0,sheetname="65051045") 
df1=df[df["Gel.Menge"]!=0]["Gel.Menge"] 
print(df1) 
fig2=plt.figure(figsize=(15,10)) 
sns.boxplot(data=df1) 
sns.swarmplot(data=df1,color="black",alpha=0.5) 
plt.title("65051045") 

Excel表格的樣子：

Gel.Menge Erf.datum Freig. 
0,000 26.11.2014 26.11.2014 
10,000 06.11.2014 07.11.2014 
5,000 19.12.2014 08.01.2015 
7,000 07.07.2015 17.07.2015 
1,000 21.07.2015 22.07.2015 
5,000 18.03.2016 22.03.2016 
10,000 29.03.2016 31.03.2016 
10,000 20.07.2016 21.07.2016 
20,000 13.10.2016 17.10.2016 
5,000 01.12.2014 01.12.2014 
3,000 20.04.2015 20.04.2015 

如果我運行代碼，我得到了以下錯誤消息：

KeyError Traceback (most recent call last) in() 84 print(df1) 85 fig2=plt.figure(figsize=(15,10)) ---> 86 sns.boxplot(data=df1) 87 sns.swarmplot(data=df1,color="black",alpha=0.5) 88 plt.title("65051045 - Laserschweißen Getriebeabtrieb Rundnaht")

C:\ProgramData\Anaconda3\lib\site-packages\seaborn\categorical.py in boxplot(x, y, hue, data, order, hue_order, orient, color, palette, saturation, width, fliersize, linewidth, whis, notch, ax, **kwargs)
2173 plotter = _BoxPlotter(x, y, hue, data, order, hue_order,
2174 orient, color, palette, saturation, -> 2175 width, fliersize, linewidth) 2176 2177 if ax is None:

C:\ProgramData\Anaconda3\lib\site-packages\seaborn\categorical.py in init(self, x, y, hue, data, order, hue_order, orient, color, palette, saturation, width, fliersize, linewidth) 424 width, fliersize, linewidth): 425 --> 426 self.establish_variables(x, y, hue, data, orient, order, hue_order) 427 self.establish_colors(color, palette, saturation) 428

C:\ProgramData\Anaconda3\lib\site-packages\seaborn\categorical.py in establish_variables(self, x, y, hue, data, orient, order, hue_order, units) 94 if hasattr(data, "shape"): 95 if len(data.shape) == 1: ---> 96 if np.isscalar(data[0]): 97 plot_data = [data] 98 else:

C:\ProgramData\Anaconda3\lib\site-packages\pandas\core\series.py in getitem(self, key) 599 key = com._apply_if_callable(key, self) 600 try: --> 601 result = self.index.get_value(self, key) 602 603 if not is_scalar(result):

C:\ProgramData\Anaconda3\lib\site-packages\pandas\core\indexes\base.py in get_value(self, series, key) 2426 try: 2427
return self._engine.get_value(s, k, -> 2428 tz=getattr(series.dtype, 'tz', None)) 2429 except KeyError as e1: 2430 if len(self) > 0 and self.inferred_type in ['integer', 'boolean']:

pandas_libs\index.pyx in pandas._libs.index.IndexEngine.get_value (pandas_libs\index.c:4363)()

pandas_libs\index.pyx in pandas._libs.index.IndexEngine.get_value (pandas_libs\index.c:4046)()

pandas_libs\index.pyx in pandas._libs.index.IndexEngine.get_loc (pandas_libs\index.c:5085)()

pandas_libs\hashtable_class_helper.pxi in pandas._libs.hashtable.Int64HashTable.get_item (pandas_libs\hashtable.c:13913)()

pandas_libs\hashtable_class_helper.pxi in pandas._libs.hashtable.Int64HashTable.get_item (pandas_libs\hashtable.c:13857)()

KeyError: 0

令人驚訝的情節（DF1）命令工作，它地塊：

1  10 
2  5 
3  7 
4  1 
5  5 
6  10 
7  10 
8  20 
9  5 
10  3 
Name: Gel.Menge, dtype: int64 

什麼我做錯了嗎？

Answer 1

我假設的問題是，我已經定義：

df1=df[df["Gel.Menge"]!=0]["Gel.Menge"] 

與之DF1不再是一個數據幀和seaborn將被混淆。

如果我改變：

df1=df[df["Gel.Menge"]!=0]["Gel.Menge"] 

到

df1["Gel.Menge"]=df["Gel.Menge"].where(df["Gel.Menge"]!=0).dropna() 

，並明確定義DF1到BA與數據框：

df1= pd.DataFrame() 

代碼工作。

工作代碼如下：

inpath=r"P:\Data.xlsx" 
df1=pd.DataFrame() 

df=pd.read_excel(io=inpath,header=0,sheetname="65051045") 
df1["Gel.Menge"]=df["Gel.Menge"].where(df["Gel.Menge"]!=0).dropna() 
print(df1) 
fig2=plt.figure(figsize=(15,10)) 
sns.boxplot(data=df1) 
sns.swarmplot(data=df1,color="black",alpha=0.5) 
plt.title("65051045")