我的数据帧来自cvs,如下所示:
Date Open High Low Close Adj Close Volume
0 1996-01-01 4.06250 4.12500 3.8750 3.90625 3.093209 7048800
1 1996-02-01 3.84375 3.96875 3.5000 3.62500 2.870497 12864000
2 1996-03-01 3.50000 4.25000 3.5000 4.12500 3.266428 9526400
3 1996-04-01 4.06250 4.68750 4.0625 4.50000 3.563378 5693600
4 1996-05-01 4.40625 4.65625 4.1250 4.21875 3.340666 30480000
当我尝试绘制它时,图表底部没有日期。这是我正在使用的代码:
df = pd.read_csv('ABC.csv') #read cvs
df2 = df.loc[0:12] #select rows
df2.set_index('Date', inplace=True) #set Date as index
df2['Close'].plot() #plot
答案 0 :(得分:2)
您的日期是一个字符串,因此matplotlib
不会自动绘制标签。首先将其更改为datetime
,然后绘制。
import pandas as pd
df['Date'] = pd.to_datetime(df.Date)
您的情节:
df2 = df.loc[0:12]
df2.set_index('Date', inplace=True)
df2['Close'].plot()
答案 1 :(得分:2)
将列日期设置为datetime类型:)
df = pd.read_csv('ABC.csv') #read cvs
df2 = df.loc[0:12] #select rows
df2['Date'] = pd.to_datetime(df2['Date'])
df2.set_index('Date', inplace=True) #set Date as index
df2['Close'].plot() #plot