Basic Plotting

import numpy as np

from numpy.random import randn

import matplotlib.pyplot as plt

import pandas as pd

from pandas import Series, DataFrame,date_range

from matplotlib import cm

dat=pd.read_csv("C:\\Users\duan\Desktop\PythonDataProcessingVisualization\metaDataMean.txt", sep='\s+')

dat

%matplotlib inline

plt.figure()
dat.samplemeans.plot()

plt.figure()
dat.samplemeans.plot(secondary_y=True, style='g')

plt.figure();dat.samplemeans.plot(style='k--', label='sample means'); plt.legend()

plt.figure();
dat.samplemeans.plot(kind='bar')

plt.figure();
dat.samplemeans.plot(kind='bar'); plt.axhline(10,linewidth=4, color='r')

plt.figure();
dat.samplemeans.plot(kind='barh',color="pink")

plt.figure();
dat.samplemeans.plot(kind='barh',color = [cm.rainbow(i) for i in np.linspace(0, 1, len(dat.samplemeans))])

plt.figure();
dat.samplemeans.hist()

plt.figure();
bp = dat.boxplot()

plt.figure();
bp=dat.boxplot()
bp.set_title('My box plot')

plt.figure();
bp = dat.boxplot(by='genotype')

plt.figure();
bp = dat.boxplot(by='genotype')
plt.suptitle('') # that's what you're after
plt.show()

plt.figure();
bp = dat.boxplot(column=['samplemeans'], by=['celltype','genotype'])
title_boxplot = 'expression means'
plt.title( title_boxplot )
plt.suptitle('')
plt.show()