I have a two boxplotes
a1=a[['kCH4_sync','week_days']]
a1.boxplot(by = 'week_days', meanline=True, showmeans=True, showcaps=True, showbox=True,
showfliers=False)
a2=a[['CH4_sync','week_days']]
a2.boxplot(by = 'week_days', meanline=True, showmeans=True, showcaps=True, showbox=True,
showfliers=False)
But I want to place them in one graph to compare them. Have you any advice to solve this problem? Thanks!
To plot multiple boxplots on one matplotlib graph you can pass a list of data arrays to boxplot, as in:
import numpy as np
import matplotlib.pyplot as plt
x1 = 10*np.random.random(100)
x2 = 10*np.random.exponential(0.5, 100)
x3 = 10*np.random.normal(0, 0.4, 100)
plt.boxplot ([x1, x2, x3])
The only thing I am not sure of is if you want each boxplot to have a different color etc. Generally it won't plot in different colour
Use return_type='axes' to get a1.boxplot to return a matplotlib Axes object.
Then pass that axes to the second call to boxplot using ax=ax. This will cause both boxplots to be drawn on the same axes.
a1=a[['kCH4_sync','week_days']]
ax = a1.boxplot(by='week_days', meanline=True, showmeans=True, showcaps=True,
showbox=True, showfliers=False, return_type='axes')
a2 = a[['CH4_sync','week_days']]
a2.boxplot(by='week_days', meanline=True, showmeans=True, showcaps=True,
showbox=True, showfliers=False, ax=ax)
fig, (ax1, ax2) = plt.subplots(nrows=2). Then pass the desired axes to the boxplot calls: a1.boxplot(..., ax=ax1), and a2.boxplot(..., ax=ax2).a1.boxplot(column = ['kCH4_sync','week_days'], by='week_days',layout=(2,1)) I don't think I explained myself well: I'm looking to make a side by side plot like hue, but without melting the dataframe: stackoverflow.com/questions/16592222/matplotlib-group-boxplotsIt easy using pandas:
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
col1 = np.random.random(10)
col2 = np.random.random(10)
DF = pd.DataFrame({'col1': col1, 'col2': col2})
ax = DF[['col1', 'col2']].plot(kind='box', title='boxplot', showmeans=True)
plt.show()
Note that when using Pandas for this, the last command (ax = DF[[...) opens a new figure. I'm still looking for a way to combine this with existing subplots.
