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I want the use the index of a pandas DataFrame as x value for a seaborn plot. However, this raises a value error.
A small test example:
import pandas as pd import seaborn as sns sns.lineplot(x='index',y='test',hue='test2',data=pd.DataFrame({'test':range(9),'test2':range(9)})) It raises:
ValueError: Could not interpret input 'index' Is it not possible to use the index as x values? What am I doing wrong? Python 2.7, seaborn 0.9
572
Factor Plot is used to draw a different types of categorical plot . The default plot that is shown is a point plot, but we can plot other seaborn categorical plots by using of kind parameter, like box plots, violin plots, bar plots, or strip plots.
In order to set index to column in pandas DataFrame use reset_index() method. By using this you can also set single, multiple indexes to a column. If you are not aware by default, pandas adds an index to each row of the pandas DataFrame.
Seaborn is a library for making statistical graphics in Python. It builds on top of matplotlib and integrates closely with pandas data structures. Seaborn helps you explore and understand your data.
By default, seaborn automatically adds a legend to the graph. Notice the legend is at the top right corner. If we want to explicitly add a legend, we can use the legend() function from the matplotlib library. In this way, we can add our own labels explicitly.
I would rather prefer to use it this way. You need to remove hue as I assume it has a different purpose which doesn't apply in your current DataFrame because you have a single line. Visit the official docs here for more info.
df=pd.DataFrame({'test':range(9),'test2':range(9)}) sns.lineplot(x=df.index, y='test', data=df) Output
193
You would need to make sure the string you provide to the x argument is actually a column in your dataframe. The easiest solution to achieve that is to reset the index of the dataframe to convert the index to a column.
sns.lineplot(x='index', y='test', data=pd.DataFrame({'test':range(9),'test2':range(9)}).reset_index()) If you love us? You can donate to us via Paypal or buy me a coffee so we can maintain and grow! Thank you!
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