How can I show multi lines in seaborn graph?

Question

I want to draw three lines in seaborn pointplot graph. Three lines are based on the label named for Total Confirmed, Total Death, Total Recovered

Here is my dataset

      Date     Total Confirmed  Total Death Total Recovered
0   1/22/20         555            17           28
1   1/23/20         654            18           30
2   1/24/20         941            26           36
3   1/25/20         1434           42           39
4   1/26/20         2118           56           52

The code I wrote is shown only one value and not shown other two values. How can I fix my code to show all three lines in terms of log graph because their results are different each other.

plt.figure(figsize=(18,7))
ax = sns.pointplot(data = df, x='Date', y='Total Confirmed', color="b")
plt.title('General Trend', fontsize=22, y=1.015)
plt.xlabel('month-day-year', labelpad=16)
plt.ylabel('# of people', labelpad=16)
ax.figure.legend()
plt.xticks(rotation=90);
plt.savefig('images/image1.png')

Take a look in this issue: [https://stackoverflow.com/questions/40050597/matplotlib-plot-multiple-lines-on-the-same-chart](https://stackoverflow.com/questions/40050597/matplotlib-plot-multiple-lines-on-the-same-chart) — Michel Guimarães, Apr 14 '20 at 20:26

kjul · Answer 1 · 2020-04-14T20:35:53.190

2

you need to use melt on the df:

df = df.melt("Date", ["Total Confirmed","Total Death","Total Recovered"])
ax = sns.pointplot(data = df, x='Date', y='value', hue="variable")

edited Apr 14 '20 at 20:35

answered Apr 14 '20 at 20:28

kjul

156
6

score 2 · Accepted Answer · answered Apr 14 '20 at 20:46

Create the three pointplots separately and add them into the same figure. You can have the y-scale be logarithmic setting yscale="log" in ax.set:

fig, ax = plt.subplots(figsize=(18,7))
c=sns.pointplot(data = df, x='Date', y='TotalConfirmed', color="b", 
                label='Total Confirmed')
d=sns.pointplot(data = df, x='Date', y='TotalDeath', color="r", 
                label='Total Death')
r=sns.pointplot(data = df, x='Date', y='TotalRecovered', color="g", 
                label='Total Recovered')
ax.set_title('GeneralTrend', fontsize=22, y=1.015)
ax.set_xlabel('month-day-year', labelpad=16)
ax.set_ylabel('# of people', labelpad=16)
ax.set(yscale="log")
t=plt.xticks(rotation=45)

score 1 · Answer 3 · answered Apr 14 '20 at 20:36

You can just make other plots in the same figure, like that:

plt.figure(figsize=(18,7))

sns.pointplot(data = df, x='Date', y='Total Confirmed', color="b")
sns.pointplot(data = df, x='Date', y='Total Death', color="g")
sns.pointplot(data = df, x='Date', y='Total Recovered', color="r")

score 1 · Answer 4 · answered Apr 14 '20 at 20:52

Another option to the ones mentioned is to use the .plot() method of a pandas.DataFrame:

fig, ax = plt.subplots(figsize=(18,7))
df.plot(x='Date')

You may also provide colors in a dictionary if you want to specify custom colors:

fig, ax = plt.subplots(figsize=(18,7))
df.plot(x='Date', colors=['r', 'g', 'b'])

How can I show multi lines in seaborn graph?

4 Answers4