Time  type1  type2  type3
0  2015-01-01    100    200    300
1  2015-02-01    150    250    350
2  2015-03-01    300    300    300
3  2015-04-01    350    350    350

#Setting up data
import seaborn as sns
import pandas as pd

data = [{'Time': '201501','type1': 100, 'type2': 200, 'type3':300},
        {'Time': '201502' ,'type1':150, 'type2': 250, 'type3': 350},
        {'Time': '201503' ,'type1':300, 'type2': 300, 'type3': 300},
        {'Time': '201504' ,'type1':350, 'type2': 350, 'type3': 350}]

data = pd.DataFrame(data)

#Data prep

#setting index
data['Time']=pd.to_datetime(data['Time'], format='%Y%m')
data.set_index(['Time'], inplace=True)
#setting type for line graph
data=data.astype(float)

data

############################# LINE PLOT ##################################################

#this loops over each column in my data set and produces a graph

for i in data:  # Loop over all columns except 'Location'
    sns.set() #defaults the background
    fig, ax = plt.subplots()
    sns.set(style="ticks")
    sns.lineplot(x=data.index,y=i,data=data,color=next(palette))  # column is chosen here
    sns.despine(offset=10, trim=True)
    fig.set_size_inches(18,12)
    ax.set_title('{} History'.format(i), fontweight='bold')

    plt.savefig('{}.pdf'.format(i), bbox_inches='tight')  #sets file name based on column name


############################# VIOLIN PLOT ###############################################
for i in data:  # Loop over all columns
    sns.set() #defaults the background
    fig, ax = plt.subplots()
    sns.set(style="ticks") #darkens grid lines
    sns.violinplot(y=i, data=data,color=next(palette))  #sets which coloumn to use
    sns.despine(offset=10, trim=True)
    fig.set_size_inches(18,12)
    ax.set_title('{} Violin Plot'.format(i), fontweight='bold') #sets chart title based on column
    plt.savefig('{}_violin.pdf'.format(i), bbox_inches='tight')  #sets file name based on column name