Seaborn：线图看起来像一个阶梯图

Question

我正在尝试使用以下代码在 Jupyter Notebook 中使用 Seaborn 构建线图：

import pandas as pd
import seaborn as sns

# load csv
df=pd.read_csv('C:/Users/1/Desktop/graphs/seaborn/Data.csv')
# make sure date is in datetime
df['Date'] = pd.to_datetime(df['Date'], format='%m-%d-%y')
# generate graph
g = sns.lineplot(x="Date", y="Data", data=df)

plt.show()

但是，结果如下所示：

而所需的输出如下（内置于 Excel）：

为了使情节更流畅，我缺少什么论点？

.csv 看起来像这样：

Date,Data
01-09-97,
01-10-97,
01-11-97,
01-12-97,
01-01-98,
01-02-98,
01-03-98,
01-04-98,
01-05-98,309.5
01-06-98,
...
01-07-14,44726.5
01-08-14,45735.1
01-09-14,47430
01-10-14,49887.7
01-11-14,51799.5
01-12-14,54258.1
01-01-15,52079.1
01-02-15,51110.6
01-03-15,49614.8
01-04-15,49989.2

Answer 1

简单的错误，您的日期格式不是%m-%d-%y ，而是%d-%m-%y ：

import pandas as pd
import seaborn as sns
from matplotlib import pyplot as plt

# load csv
df=pd.read_csv("test.csv")
# make sure date is in datetime
df['Date'] = pd.to_datetime(df['Date'], format='%d-%m-%y')
# generate graph
g = sns.lineplot(x="Date", y="Data", data=df)

plt.show()

输出：