how can i plot multiple graph into one with matplotlib or seaborn

Question

This is what my dataframe looks like: click on the line to download dataframe

enter link description here for dataframe

I have tried the following code :

plt.plot(LessDF['DeptAvg'][LessDF['classes'] == 'COA111'], LessDF['week1'])
plt.plot(LessDF['DeptAvg'][LessDF['classes'] == 'COA111'], LessDF['week2'])
plt.plot(LessDF['DeptAvg'][LessDF['classes'] == 'COA111'], LessDF['week3'])

I got the output below, which shows only one line, with my code.

I want output with separate lines, like this:

How can I get this output with matplotlib or seaborn??

Does this answer your question? How to plot multiple dataframes in subplots — T C Molenaar
– T C Molenaar, Commented Jan 20, 2023 at 10:44
No this can't helpful to me @T C Molenaar your suggested solution is for subplot on same cell. I want multiple plot on one subplot. — Dipam Soni
– Dipam Soni, Commented Jan 20, 2023 at 10:48
You should provide an example of your data to make your issue reproducible. It is not clear what LessDF looks like. It might be that your lines are just overlapping. stackoverflow.com/help/minimal-reproducible-example — Claudio Paladini
– Claudio Paladini, Commented Jan 20, 2023 at 10:57
I have updated the question & now can view the dataframe also. — Dipam Soni
– Dipam Soni, Commented Jan 20, 2023 at 11:00

ryu1kn · Accepted Answer · 2023-01-22 09:09:33Z

1

With Seaborn, with its object interface available from v0.12, you might do like this:

import pandas as pd
import seaborn as sns
import seaborn.objects as so

sns.set_theme()

First, convert the data frame into a long-form for easier processing in the second figure.

df = pd.read_csv("LessDF.csv", index_col=0)

df_long = (
    # Convert to a long-form
    pd.melt(df,
        id_vars=["Id", "classes", "LessAvg", "DeptAvg"],
        var_name=["week"],
        value_name="point"
    )

    # Make `week1` to `1`
    .assign(week=lambda df_: df_.week.str.replace("week", ""))
)

Then

(
    so.Plot(
        # We don't have to drop rows but since `DeptAvg` doesn't change
        # over `classes` and `week`, we can de-duplicate them
        df_long.drop_duplicates(["classes", "week"]),
        x="week", y="DeptAvg", color="classes"
    )
    .add(so.Line())
    .limit(y=(0, 100))
)

If you'd like to also render the individual Id's point of each week, you might do something like this:

(
    so.Plot(data=df_long, x="week", y="point", color="classes")
    .add(so.Dots(), so.Dodge(), so.Jitter(.3))
    .add(so.Line(linewidth=3, alpha=.8), y="DeptAvg")
    .limit(y=(0, 100))
)

edited Jan 22, 2023 at 9:09

answered Jan 21, 2023 at 5:14

ryu1kn

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1 Comment

Dipam Soni Over a year ago

This is the exact solution i wated @ryu 1 kn Thanks. This will helps me to solve my many of doubts.

Claudio Paladini · Accepted Answer · 2023-01-20 11:42:45Z

1

All your values in the DeptAvg column are 67 for the filter you applied.

Also, you are providing a boolean as your x: LessDF['DeptAvg'] == 'COA111'.

Also, you are applying the condition on the wrong column DeptAvg instead of classes

import pandas as pd
import numpy as np
import matplotlib.pyplot as plt

df = pd.read_csv('../../../Desktop/LessDF.csv')
df_filtered = df[df['classes'] == 'COA111' ]

plt.plot(df_filtered['week1'],df_filtered['DeptAvg'],alpha=.5,)
plt.plot(df_filtered['week2'],df_filtered['DeptAvg'],alpha=.5)
plt.plot(df_filtered['week3'],df_filtered['DeptAvg'],alpha=.5)

plt.legend(['week1','week2','week3'])

plt.show()

more info here

edited Jan 20, 2023 at 11:42

answered Jan 20, 2023 at 10:52

Claudio Paladini

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3 Comments

Claudio Paladini Over a year ago

what are you talking about? the answer is given..

Dipam Soni Over a year ago

My intention was not to you @Claudio Paladini

Dipam Soni Over a year ago

This solution is helpful to me @Claudio Paladini. Thanks

Harish Yadav · Accepted Answer · 2023-01-20 11:55:21Z

0

# I done this using seaborn you can use matplotlib in between to code
plt.figure(figsize=(16, 16)) 
plt.subplot(no_of_rows, no_of_columns, plot_num)
plt.title('Any title 1')
sns.boxplot(df['column_name'])

Example :- we want 2 rows with columns of plots then we use
plt.subplot(2, 2, 1)
plt.title('Any title 1')
sns.distplot(df['column_name'], bins=20)

plt.subplot(2, 2, 2)
plt.title('Any title 2')
sns.distplot(df['column_name'], bins=20)

plt.subplot(2, 2, 3)
plt.title('Any title 3')
sns.distplot(df['column_name'], bins=20)

plt.subplot(2, 2, 4)
plt.title('Any title 4')
sns.distplot(df['column_name'], bins=20)

plt.show()

answered Jan 20, 2023 at 11:55

Harish Yadav

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1 Comment

Claudio Paladini Over a year ago

as per the comments to the questions, he is not looking for subplots. Instead, he is looking for multiple lines in one plot.

Jayit Ghosh · Accepted Answer · 2023-01-21 05:18:41Z

0

fig, ax = plt.subplots(2,3, figsize=(16,10))

sns.boxplot(df,y="arpu_6",ax=ax[0,0])
ax[0,0].set_title("June ARPU")
ax[0,0].set_ylim([0, 5000])

sns.boxplot(df,y="arpu_7",ax=ax[0,1])
ax[0,1].set_title("July ARPU")
ax[0,1].set_ylim([0, 5000])

sns.boxplot(df,y="arpu_8",ax=ax[0,2])
ax[0,2].set_title("Aug ARPU")
ax[0,2].set_ylim([0, 5000])

I picked off the code from my own notebook, so doesn't match your dataframe, so just modify as per your needs.

answered Jan 21, 2023 at 5:18

Jayit Ghosh

1511 silver badge7 bronze badges

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