CODEWITHSUNDEEP
pythonpandasmatplotlibplotseaborn
Avinash
Avinash

Reputation: 2191

how to plot graph for one pandas dataframe cell with respect to some columns

I am new to data plotting, matplotlib or sns library. There is a 

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

y = np.random.rand(10,4)
y[:,0]= np.arange(10)
df = pd.DataFrame(y, columns=["X", "A", "B", "C"])

df.head()

enter image description here

df.plot(x='X', y=['A', 'B', 'C'], kind='bar')

enter image description here

How can I plot df.plot(y='1.0', x=['A', 'B', 'C'], kind='bar') # I want to put cell as X or Y axis.

I have copied the example from StackOverflow itself.

Upvotes: 0

Views: 2560

Answers (1)

M. Ali Öztürk
M. Ali Öztürk

Reputation: 342

in the code below, you can select row values and graph them by their types, you can do this for each row, and you can analyse each col/row you want with it.

#df.plot(x='X',y=['A','B','C'],kind = 'bar')
y1 = df.iloc[0,1:].values #for first column (horizontal values)
x1 = ['A','B','C']
plt.plot(x1,y1)

this one was for 0.th row,

Upvotes: 2

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