如何修复格式错误的数据框

Question

让我们假设我们有以下数据集Ram Price

我已经使用以下命令阅读了这个数据集

import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
from sklearn.model_selection import train_test_split
data = pd.read_csv('https://raw.githubusercontent.com/amueller/introduction_to_ml_with_python/master/data/ram_price.csv')

但是当我使用命令显示前几个项目时

print(data.head())

它向我展示了以下结果

  Unnamed: 0    date        price
0           0  1957.0  411041792.0
1           1  1959.0   67947725.0
2           2  1960.0    5242880.0
3           3  1965.0    2642412.0
4           4  1970.0     734003.0

请帮我解决这个问题？ 当我尝试删除 Unnamed 时，它显示没有 Unnamed 列，如何解决？

Answer 1

它看起来像索引列，您可以选择使用整数索引设置索引列，如下所示：

df = pd.read_csv(
'https://raw.githubusercontent.com/amueller/introduction_to_ml_with_python/master/data/ram_price.csv'
,index_col=[0])

print(df.head(5))
     date        price
0  1957.0  411041792.0
1  1959.0   67947725.0
2  1960.0    5242880.0
3  1965.0    2642412.0
4  1970.0     734003.0

Answer 2

您需要删除具有全名的列。

import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
from sklearn.model_selection import train_test_split
data = pd.read_csv('https://raw.githubusercontent.com/amueller/introduction_to_ml_with_python/master/data/ram_price.csv')

print(data.columns) #print all the columns in the dataframe
#Index(['Unnamed: 0', 'date', 'price'], dtype='object')

data = data.drop(['Unnamed: 0'], axis =1) #axis=` specifies to drop column
print(data.head())

#     date        price
#0  1957.0  411041792.0
#1  1959.0   67947725.0
#2  1960.0    5242880.0
#3  1965.0    2642412.0
#4  1970.0     734003.0