使用我当前的脚本绘制 Y 误差线

Question

import os
from PIL import Image as PImage
import numpy as np
import pandas as pd
from sklearn.linear_model import LinearRegression
import matplotlib.pyplot as plt
from scipy.stats import chisquare


# Read in csv file
# File: https://github.com/mGalarnyk/Python_Tutorials/blob/master/Python_Basics/Linear_Regression/linear.csv
raw_data = pd.read_csv(r"C:\Users\Aidan\Desktop\NEW TASK\Amos_2001_4p2_APD_CONC_Fig2C_OC.csv")

# Removes rows with NaN in them
filtered_data = raw_data[~np.isnan(raw_data["y"])] 


x_y = np.array(filtered_data)

x, y, y_err = x_y[:,0], x_y[:,1], x_y[:,2]


# Reshaping
x, y = x.reshape(-1,1), y.reshape(-1, 1)

# Linear Regression Object 
lin_regression = LinearRegression()

# Fitting linear model to the data
lin_regression.fit(x,y)

# Get slope of fitted line
m = lin_regression.coef_

# Get y-Intercept of the Line
b = lin_regression.intercept_

# Get Predictions for original x values
# you can also get predictions for new data
predictions = lin_regression.predict(x)
chi= chisquare(predictions, y)

# following slope intercept form 
print ("formula: y = {0}x + {1}".format(m, b)) 
print(chi)

# Plot the Original Model (Black) and Predictions (Blue)
plt.scatter(x, y,  color='black')
plt.plot(x, predictions, color='blue',linewidth=3)
plt.errorbar(x, y, yerr=y_err, fmt='o', capsize=4, color='black')
plt.show()

Imported csv data:

1.01214,0.3609367,-0.01214

1.992202,0.341559,0.007798

2.995016,0.3510846,0.004984

3.974359,0.3405953,0.025641

4.976273,0.3612314,0.023727

5.954718,0.3618527,0.045282

6.984058,0.3536173,0.015942

7.962502,0.3542386,0.037498

8.967653,0.3348767,0.032347

9.969748,0.3532908,0.030252

错误：

runfile('C:/Users/Aidan/.spyder-py3/temp.py', wdir='C:/Users/Aidan/.spyder-py3') Traceback (most recent call last):

File "", line 1, in runfile('C:/Users/Aidan/.spyder-py3/temp.py', wdir='C:/Users/Aidan/.spyder-py3')

File "C:\Users\Aidan\Anaconda3\lib\site-packages\spyder\utils\site\sitecustomize.py", line 705, in runfile execfile(filename, namespace)

File "C:\Users\Aidan\Anaconda3\lib\site-packages\spyder\utils\site\sitecustomize.py", line 102, in execfile exec(compile(f.read(), filename, 'exec'), namespace)

File "C:/Users/Aidan/.spyder-py3/temp.py", line 15, in filtered_data = raw_data[~np.isnan(raw_data["y"])]

File "C:\Users\Aidan\Anaconda3\lib\site-packages\pandas\core\frame.py", line 2685, in getitem return self._getitem_column(key)

File "C:\Users\Aidan\Anaconda3\lib\site-packages\pandas\core\frame.py", line 2692, in _getitem_column return self._get_item_cache(key)

File "C:\Users\Aidan\Anaconda3\lib\site-packages\pandas\core\generic.py", line 2486, in _get_item_cache values = self._data.get(item)

File "C:\Users\Aidan\Anaconda3\lib\site-packages\pandas\core\internals.py", line 4115, in get loc = self.items.get_loc(item)

File "C:\Users\Aidan\Anaconda3\lib\site-packages\pandas\core\indexes\base.py", line 3065, in get_loc return self._engine.get_loc(self._maybe_cast_indexer(key))

File "pandas_libs\index.pyx", line 140, in pandas._libs.index.IndexEngine.get_loc

File "pandas_libs\index.pyx", line 162, in pandas._libs.index.IndexEngine.get_loc

File "pandas_libs\hashtable_class_helper.pxi", line 1492, in pandas._libs.hashtable.PyObjectHashTable.get_item

File "pandas_libs\hashtable_class_helper.pxi", line 1500, in pandas._libs.hashtable.PyObjectHashTable.get_item

KeyError: 'y'

因此，如果没有 CSV 中的第 3 列，此脚本可以完美执行。我想包含错误栏行的第三列数据。如何在我的脚本中实现 y 错误栏？

Answer 1

只需将错误栏保存在变量中，如下所示：

x, y, y_err = x_y[:,0], x_y[:,1], x_y[:,2]

并使用 plt.errorbar 作为

plt.errorbar(x, y, yerr=y_err, fmt='o', capsize=4, color='black')

具有以下输出。您可以从此页面使用更多参数自定义 errorbar：https://matplotlib.org/api/_as_gen/matplotlib.pyplot.errorbar.html

使用我当前的脚本绘制 Y 误差线

Plotting Y error bar using my current script

python

csv

import

matplotlib

errorbar