How do we plot a histogram for non-numeric data with an initial condition?











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I'm working on a huge dataset with 271116 rows. I was trying to plot a bar graph of categorical data depending on the frequency with which they appear using this piece of code -



fig, ax = plt.subplots()

df['Team'].value_counts().plot(ax = ax, kind= 'bar', width = 0.8, figsize = (10,10))

plt.show()


Since there are a lot of categories, I can't make any sense of the
graph:



enter image description here



So, I thought of filtering the data that I'm plotting by plotting only those categories with a frequency greater than 500. How do I achieve such a plot?






python matplotlib graph data-analysis







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  • You can filter a Series as usual, s[s>500].
    – ImportanceOfBeingErnest
    Nov 8 at 11:38















up vote
-1
down vote

favorite












I'm working on a huge dataset with 271116 rows. I was trying to plot a bar graph of categorical data depending on the frequency with which they appear using this piece of code -



fig, ax = plt.subplots()

df['Team'].value_counts().plot(ax = ax, kind= 'bar', width = 0.8, figsize = (10,10))

plt.show()


Since there are a lot of categories, I can't make any sense of the
graph:



enter image description here



So, I thought of filtering the data that I'm plotting by plotting only those categories with a frequency greater than 500. How do I achieve such a plot?






python matplotlib graph data-analysis







share|improve this question
























  • You can filter a Series as usual, s[s>500].
    – ImportanceOfBeingErnest
    Nov 8 at 11:38













up vote
-1
down vote

favorite









up vote
-1
down vote

favorite











I'm working on a huge dataset with 271116 rows. I was trying to plot a bar graph of categorical data depending on the frequency with which they appear using this piece of code -



fig, ax = plt.subplots()

df['Team'].value_counts().plot(ax = ax, kind= 'bar', width = 0.8, figsize = (10,10))

plt.show()


Since there are a lot of categories, I can't make any sense of the
graph:



enter image description here



So, I thought of filtering the data that I'm plotting by plotting only those categories with a frequency greater than 500. How do I achieve such a plot?






python matplotlib graph data-analysis







share|improve this question















I'm working on a huge dataset with 271116 rows. I was trying to plot a bar graph of categorical data depending on the frequency with which they appear using this piece of code -



fig, ax = plt.subplots()

df['Team'].value_counts().plot(ax = ax, kind= 'bar', width = 0.8, figsize = (10,10))

plt.show()


Since there are a lot of categories, I can't make any sense of the
graph:



enter image description here



So, I thought of filtering the data that I'm plotting by plotting only those categories with a frequency greater than 500. How do I achieve such a plot?






python matplotlib graph data-analysis




python matplotlib graph data-analysis






share|improve this question















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edited Nov 8 at 11:24









Bart

4,36321841




4,36321841










asked Nov 8 at 11:09









Rithvik K

185




185












  • You can filter a Series as usual, s[s>500].
    – ImportanceOfBeingErnest
    Nov 8 at 11:38


















  • You can filter a Series as usual, s[s>500].
    – ImportanceOfBeingErnest
    Nov 8 at 11:38
















You can filter a Series as usual, s[s>500].
– ImportanceOfBeingErnest
Nov 8 at 11:38




You can filter a Series as usual, s[s>500].
– ImportanceOfBeingErnest
Nov 8 at 11:38

















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