I have the following dataframe ( ordered_recurrent_df
) which I wish to plot in Seaborn's countplot:
ordered_recurrent_df
:
Month Card
January 4
February 7
March 11
April 32
May 96
June 704
When I try plotting it using countplot, I get the following:
sns.countplot(data = ordered_recurrent_df, x = ordered_recurrent_df.index)
The same outcome occurs when I try transposing it, it seems to me is not taking into account the values from the " Card " column. Like if it only recognizes the values as labels, but that's it.
Any help is appreciated Thanks in advance
barplot
should work in your case:
ordered_recurrent_df = pd.DataFrame(
{'Month':['January','February','March', 'April', 'May', 'June'],
'Card':[4, 7, 11, 32, 96, 704]
}
).set_index('Month')
sns.barplot(x='Month', y='Card', data=ordered_recurrent_df.reset_index())
NB I did set an index because in your countplot
example you also used the month
index.
countplot
can be used when your data looks like:
ordered_recurrent_df = pd.DataFrame(
{'Month':['January','February','March', 'April', 'May', 'June'],
'Card':[range(4), range(7), range(11), range(32), range(96), range(704)]
}
).set_index('Month').explode('Card')
sns.countplot(data = ordered_recurrent_df, x = ordered_recurrent_df.index)
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