使用 plotly 按年绘制数据

Question

I have a data look like this:-

Month    Year       Value
Jan      2015       2.8          
Jan      2015       2.0   
Mar      2016       0.9    
Feb      2015       3.1  
Mar      2016       4.2   
Feb      2015       2.1    
Mar      2016       2.3       
Feb      2015       1.1
Apr      2016       1.3
Apr      2016       0.5

Now I want to plot line chart, but by using this code, I am getting this output. below

Code I have used:-

df = rslt_bb.sort_values(by='Year')
trace = go.Scatter(
x = df["Year"],
y = df["Value"],
mode='markers+lines'
)

layout = go.Layout(
#title='Distribution by year',
xaxis=dict(title='Year'),
yaxis=dict(title='Value'),
showlegend=True    
)

fig = dict(data=[trace], layout=layout)
offline.iplot(fig)

I want the plotting should be like not aggregated all common year in the same line, I want spreaded. All year, single data should be visible separately, like this way below,

Answer 1

You need to crate a datetime object for plotting a Time Series . So instead of

x = df["Year"]

use

# import pandas as pd
x = pd.to_datetime(df.Year*100+df.Month, format='%Y%m')