Question

已解决

答案：更改了路径，实际上毕竟是错误的路径。使用绝对路径（alt + d +从文件资源管理器复制）。在路径之前也使用“ r”，因此该路径被视为原始字符串。

# load the data
BetterLifeIndex = pd.read_csv(r"C:\Users\brede\OneDrive\Dokumenter\Downloads\BetterLifeIndex2015.csv", thousands = ',')
gdp_per_capita = pd.read_csv(r"C:\Users\brede\OneDrive\Dokumenter\Downloads\gdpcapita.csv", thousands= ',', delimiter ='\t',
encoding = 'latin1' , na_values="n/a")

我是Python的新手，并且正在运行一本机器学习书中的Example。我无法让python读取我的csv文件。

代码：

import matplotlib
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
import sklearn.linear_model


def prepare_country_stats(oecd_bli, gdp_per_capita):
    oecd_bli = oecd_bli[oecd_bli["INEQUALITY"]=="TOT"]
    oecd_bli = oecd_bli.pivot(index="Country", columns="Indicator", values="Value")
    gdp_per_capita.rename(columns={"2015": "GDP per capita"}, inplace=True)
    gdp_per_capita.set_index("Country", inplace=True)
    full_country_stats = pd.merge(left=oecd_bli, right=gdp_per_capita,
                                  left_index=True, right_index=True)
    full_country_stats.sort_values(by="GDP per capita", inplace=True)
    remove_indices = [0, 1, 6, 8, 33, 34, 35]
    keep_indices = list(set(range(36)) - set(remove_indices))
    return full_country_stats[["GDP per capita", 'Life satisfaction']].iloc[keep_indices]

# load the data
oecd_bli = pd.read_csv("Downloads/BetterLifeIndex2015.csv", thousands = ',')
gdp_per_capita = pd.read_csv("C:/Users/brede/Downloads/gdpcapita.csv", thousands= ',', delimiter ='\t',
encoding = 'latin1' , na_values="n/a")

#prepare the data
country_stats = prepare_country_stats (oecd_bli, gdp_per_capita)
x = np.c_[country_stats["gdp per capita"]]
y = np.c_[country_stats["life satisfaction"]]

#visualize the data 
country_stats.plot(kind= 'scatter' , x = "GDP per capita", y ='Life satisfaction')

#select a linear model
model = sklearn.linear_model.LinearRegression()

#train the model
model.fit (x, y)

#make a prediction for Cyprus
X_new = [[22587]] #Cyprus GDP per capita
print(model.predict(X_new)) #outputs[[5.96242338]]

输出为：

runfile('C:/Users/brede/Downloads/practice_gdp.py', wdir='C:/Users/brede/Downloads')
Traceback (most recent call last):

  File "<ipython-input-59-2f130edd277c>", line 1, in <module>
    runfile('C:/Users/brede/Downloads/practice_gdp.py', wdir='C:/Users/brede/Downloads')

  File "C:\Users\brede\Anaconda3\lib\site-packages\spyder_kernels\customize\spydercustomize.py", line 827, in runfile
    execfile(filename, namespace)

  File "C:\Users\brede\Anaconda3\lib\site-packages\spyder_kernels\customize\spydercustomize.py", line 110, in execfile
    exec(compile(f.read(), filename, 'exec'), namespace)

  File "C:/Users/brede/Downloads/practice_gdp.py", line 31, in <module>
    oecd_bli = pd.read_csv("Downloads/BetterLifeIndex2015.csv", thousands = ',')

  File "C:\Users\brede\Anaconda3\lib\site-packages\pandas\io\parsers.py", line 685, in parser_f
    return _read(filepath_or_buffer, kwds)

  File "C:\Users\brede\Anaconda3\lib\site-packages\pandas\io\parsers.py", line 457, in _read
    parser = TextFileReader(fp_or_buf, **kwds)

  File "C:\Users\brede\Anaconda3\lib\site-packages\pandas\io\parsers.py", line 895, in __init__
    self._make_engine(self.engine)

  File "C:\Users\brede\Anaconda3\lib\site-packages\pandas\io\parsers.py", line 1135, in _make_engine
    self._engine = CParserWrapper(self.f, **self.options)

  File "C:\Users\brede\Anaconda3\lib\site-packages\pandas\io\parsers.py", line 1917, in __init__
    self._reader = parsers.TextReader(src, **kwds)

  File "pandas\_libs\parsers.pyx", line 382, in pandas._libs.parsers.TextReader.__cinit__

  File "pandas\_libs\parsers.pyx", line 689, in pandas._libs.parsers.TextReader._setup_parser_source

FileNotFoundError: [Errno 2] File b'Downloads/BetterLifeIndex2015.csv' does not exist: b'Downloads/BetterLifeIndex2015.csv'

我已经对文件的路径进行了三重检查，但似乎无法弄清楚！感谢所有帮助。

这是在Spyder中完成的，在Jupyter中也尝试了相同的结果。我什至复制了路径等。

帮助...

Answer 1

我认为您必须在文件路径中包含'/'。尝试使用'C：/ Users / brede / OneDrive...。'

FileNotFoundError：[错误2]文件b'Downloads / BetterLifeIndex2015.csv不存在：b'Downloads / BetterLifeIndex2015.csv'

1 个答案: