I have a pandas dataframe with three columns and I am plotting each column separately using the following code:
data.plot(y='value')
Which generates a figure like this one:
What I need is a subset of these values and not all of them. For example, I want to plot values at rows 500 to 1000 and not from 0 to 3500. Any idea how I can tell the plot function to only pick those?
Thanks
Make rows of Pandas plot. Use iloc() function to slice the df and print specific rows. To display the figure, use show() method.
To plot a specific column, use the selection method of the subset data tutorial in combination with the plot() method. Hence, the plot() method works on both Series and DataFrame .
use iloc
to slice your df:
data.iloc[499:999].plot(y='value')
this will slice from row 500 up to but not including row 1000
Example:
In [35]:
df = pd.DataFrame(np.random.randn(10,2), columns=list('ab'))
df.iloc[2:6]
Out[35]:
a b
2 0.672884 0.202798
3 0.514998 1.744821
4 -1.982109 -0.770861
5 1.364567 0.341882
df.iloc[2:6].plot(y='b')
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