Matplotlib plot is a no-show
Question:
When I run this code
import pandas as pd
import numpy as np
def add_prop(group):
births = group.births.astype(float)
group['prop'] = births/births.sum()
return group
pieces = []
columns = ['name', 'sex', 'births']
for year in range(1880, 2012):
path = 'yob%d.txt' % year
frame = pd.read_csv(path, names = columns)
frame['year'] = year
pieces.append(frame)
names = pd.concat(pieces, ignore_index = True)
total_births = names.pivot_table('births', rows = 'year', cols = 'sex', aggfunc = sum)
total_births.plot(title = 'Total Births by sex and year')
I get no plot. This is from Wes McKinney’s book on using Python for data analysis.
Can anyone point me in the right direction?
Answers:
Put
import matplotlib.pyplot as plt
at the top, and
plt.show()
at the end.
In the IPython notebook you could also use %matplotlib inline
at the top of the notebook to automatically display the created plots in the output cells.
your code is correct.
just put:
import matplotlib as plt
for displaying your plot:
plt.show()
When I run this code
import pandas as pd
import numpy as np
def add_prop(group):
births = group.births.astype(float)
group['prop'] = births/births.sum()
return group
pieces = []
columns = ['name', 'sex', 'births']
for year in range(1880, 2012):
path = 'yob%d.txt' % year
frame = pd.read_csv(path, names = columns)
frame['year'] = year
pieces.append(frame)
names = pd.concat(pieces, ignore_index = True)
total_births = names.pivot_table('births', rows = 'year', cols = 'sex', aggfunc = sum)
total_births.plot(title = 'Total Births by sex and year')
I get no plot. This is from Wes McKinney’s book on using Python for data analysis.
Can anyone point me in the right direction?
Put
import matplotlib.pyplot as plt
at the top, and
plt.show()
at the end.
In the IPython notebook you could also use %matplotlib inline
at the top of the notebook to automatically display the created plots in the output cells.
your code is correct.
just put:
import matplotlib as plt
for displaying your plot:
plt.show()