Python画折线图之seaborn

import matplotlib.pylab as plt
import seaborn as sns
import numpy as np
np.random.seed(0)

my_dpi=96
plt.figure(figsize=(480/my_dpi, 480/my_dpi), dpi=my_dpi)

values=np.cumsum(np.random.randn(1000,1))
plt.plot(values)
plt.show()

import matplotlib.pylab as plt
import seaborn as sns
import numpy as np
import pandas as pd
df=pd.DataFrame({'xvalues': range(1,101), 'yvalues': np.random.randn(100) })
my_dpi=96
plt.figure(figsize=(480/my_dpi, 480/my_dpi), dpi=my_dpi)

plt.plot( 'xvalues', 'yvalues', data=df)
plt.show()

 

import matplotlib.pylab as plt
import seaborn as sns
import numpy as np
import pandas as pd
df = sns.load_dataset('iris')
my_dpi=96
plt.figure(figsize=(480/my_dpi, 480/my_dpi), dpi=my_dpi)

plt.plot( 'sepal_width', 'sepal_length', data=df)
plt.show()

 

import matplotlib.pylab as plt
import seaborn as sns
import numpy as np
import pandas as pd
np.random.seed(0)
df=pd.DataFrame({'x': range(1,11), 'y': np.random.randn(10) })
my_dpi=96
plt.figure(figsize=(480/my_dpi, 480/my_dpi), dpi=my_dpi)

plt.plot( 'x', 'y', data=df, color='skyblue')
plt.show()

 

import matplotlib.pylab as plt
import seaborn as sns
import numpy as np
import pandas as pd
np.random.seed(0)
df=pd.DataFrame({'x': range(1,11), 'y': np.random.randn(10) })
my_dpi=96
plt.figure(figsize=(480/my_dpi, 480/my_dpi), dpi=my_dpi)

plt.plot( 'x', 'y', data=df, color='skyblue',  alpha=0.3)
plt.show()

 

import matplotlib.pylab as plt
import seaborn as sns
import numpy as np
import pandas as pd
np.random.seed(0)
df=pd.DataFrame({'x': range(1,11), 'y': np.random.randn(10) })
my_dpi=96
plt.figure(figsize=(480/my_dpi, 480/my_dpi), dpi=my_dpi)

plt.plot( 'x', 'y', data=df, linestyle='dashed')
plt.show()

 

import matplotlib.pylab as plt
import seaborn as sns
import numpy as np
import pandas as pd
np.random.seed(0)
df=pd.DataFrame({'x': range(1,11), 'y': np.random.randn(10) })
my_dpi=96
plt.figure(figsize=(480/my_dpi, 480/my_dpi), dpi=my_dpi)

plt.plot( [1,1.1,1,1.1,1], linestyle='-' , linewidth=4)
plt.text(1.5, 1.3, "linestyle = '-' ", horizontalalignment='left', size='medium', color='C0', weight='semibold')
plt.plot( [2,2.1,2,2.1,2], linestyle='--' , linewidth=4 )
plt.text(1.5, 2.3, "linestyle = '--' ", horizontalalignment='left', size='medium', color='C1', weight='semibold')
plt.plot( [3,3.1,3,3.1,3], linestyle='-.' , linewidth=4 )
plt.text(1.5, 3.3, "linestyle = '-.' ", horizontalalignment='left', size='medium', color='C2', weight='semibold')
plt.plot( [4,4.1,4,4.1,4], linestyle=':' , linewidth=4 )
plt.text(1.5, 4.3, "linestyle = ':' ", horizontalalignment='left', size='medium', color='C3', weight='semibold')
plt.axis('off')
plt.show()

 

import matplotlib.pylab as plt
import seaborn as sns
import numpy as np
import pandas as pd
np.random.seed(0)
df=pd.DataFrame({'x': range(1,11), 'y': np.random.randn(10) })
my_dpi=96
plt.figure(figsize=(480/my_dpi, 480/my_dpi), dpi=my_dpi)

plt.plot( 'x', 'y', data=df, linewidth=22)
plt.show()

 

import matplotlib.pylab as plt
import seaborn as sns
import numpy as np
import pandas as pd
np.random.seed(0)
df=pd.DataFrame({'x': range(1,11), 'y1': np.random.randn(10), 'y2': np.random.randn(10)+range(1,11), 'y3': np.random.randn(10)+range(11,21) })
my_dpi=96
plt.figure(figsize=(480/my_dpi, 480/my_dpi), dpi=my_dpi)

plt.plot( 'x', 'y1', data=df, marker='o', markerfacecolor='blue', markersize=12, color='skyblue', linewidth=4)
plt.plot( 'x', 'y2', data=df, marker='', color='olive', linewidth=2)
plt.plot( 'x', 'y3', data=df, marker='', color='olive', linewidth=2, linestyle='dashed', label="toto")
plt.legend()
plt.show()

 

import matplotlib.pylab as plt
import seaborn as sns
import numpy as np
import pandas as pd
np.random.seed(0)
df=pd.DataFrame({'x': range(1,11), 'y1': np.random.randn(10), 'y2': np.random.randn(10)+range(1,11), 'y3': np.random.randn(10)+range(11,21), 'y4': np.random.randn(10)+range(6,16), 'y5': np.random.randn(10)+range(4,14)+(0,0,0,0,0,0,0,-3,-8,-6), 'y6': np.random.randn(10)+range(2,12), 'y7': np.random.randn(10)+range(5,15), 'y8': np.random.randn(10)+range(4,14) })
plt.style.use('seaborn-darkgrid')
my_dpi=96
plt.figure(figsize=(480/my_dpi, 480/my_dpi), dpi=my_dpi)

for column in df.drop('x', axis=1):  
    plt.plot(df['x'], df[column], marker='', color='grey', linewidth=1, alpha=0.4)
plt.show()

 

import matplotlib.pylab as plt
import seaborn as sns
import numpy as np
import pandas as pd
np.random.seed(0)
df=pd.DataFrame({'x': range(1,11), 'y1': np.random.randn(10), 'y2': np.random.randn(10)+range(1,11), 'y3': np.random.randn(10)+range(11,21), 'y4': np.random.randn(10)+range(6,16), 'y5': np.random.randn(10)+range(4,14)+(0,0,0,0,0,0,0,-3,-8,-6), 'y6': np.random.randn(10)+range(2,12), 'y7': np.random.randn(10)+range(5,15), 'y8': np.random.randn(10)+range(4,14) })
plt.style.use('seaborn-darkgrid')
my_dpi=96
plt.figure(figsize=(480/my_dpi, 480/my_dpi), dpi=my_dpi)

plt.plot(df['x'], df['y5'], marker='', color='orange', linewidth=4, alpha=0.7)
# 设置x轴长度
plt.xlim(0,12)

num=0
for i in df.values[9][1:]:
    num+=1
    name=list(df)[num]
    if name != 'y5':
        plt.text(10.2, i, name, horizontalalignment='left', size='small', color='grey')

# 添加感兴趣的注释
plt.text(10.2, df.y5.tail(1), 'Mr Orange', horizontalalignment='left', size='small', color='orange')
    
# 添加标题
plt.title("Evolution of Mr Orange vs other students", loc='left', fontsize=12, fontweight=0, color='orange')
plt.xlabel("Time")
plt.ylabel("Score")
plt.show()

 

import matplotlib.pylab as plt
import seaborn as sns
import numpy as np
import pandas as pd
np.random.seed(0)
df=pd.DataFrame({'x': range(1,11), 'y1': np.random.randn(10), 'y2': np.random.randn(10)+range(1,11), 'y3': np.random.randn(10)+range(11,21), 'y4': np.random.randn(10)+range(6,16), 'y5': np.random.randn(10)+range(4,14)+(0,0,0,0,0,0,0,-3,-8,-6), 'y6': np.random.randn(10)+range(2,12), 'y7': np.random.randn(10)+range(5,15), 'y8': np.random.randn(10)+range(4,14), 'y9': np.random.randn(10)+range(4,14), 'y10': np.random.randn(10)+range(2,12) })

plt.style.use('seaborn-darkgrid')
my_dpi=96
plt.figure(figsize=(480/my_dpi, 480/my_dpi), dpi=my_dpi)

palette = plt.get_cmap('Set1')
num=0
for column in df.drop('x', axis=1):  
    num+=1
    plt.plot(df['x'], df[column], marker='', color=palette(num), linewidth=1, alpha=0.9, label=column)

# 添加图例
plt.legend(loc=2, ncol=2)

plt.title("A (bad) Spaghetti plot", loc='left', fontsize=12, fontweight=0, color='orange')
plt.xlabel("Time")
plt.ylabel("Score")
plt.show()

 

import matplotlib.pylab as plt
import seaborn as sns
import numpy as np
import pandas as pd
df=pd.DataFrame({'x': range(1,11), 'y1': np.random.randn(10), 'y2': np.random.randn(10)+range(1,11), 'y3': np.random.randn(10)+range(11,21), 'y4': np.random.randn(10)+range(6,16), 'y5': np.random.randn(10)+range(4,14)+(0,0,0,0,0,0,0,-3,-8,-6), 'y6': np.random.randn(10)+range(2,12), 'y7': np.random.randn(10)+range(5,15), 'y8': np.random.randn(10)+range(4,14), 'y9': np.random.randn(10)+range(4,14) })

plt.style.use('seaborn-darkgrid')
my_dpi=96
plt.figure(figsize=(480/my_dpi, 480/my_dpi), dpi=my_dpi)

palette = plt.get_cmap('Set1')
num=0
for column in df.drop('x', axis=1):  
    num+=1
    
    plt.subplot(3,3, num)
    
    plt.plot(df['x'], df[column], marker='', color=palette(num), linewidth=1.9, alpha=0.9, label=column)

    plt.xlim(0,10)
    plt.ylim(-2,22)
    
    if num in range(7) :
        plt.tick_params(labelbottom='off')   
    if num not in [1,4,7] :
        plt.tick_params(labelleft='off')   
    
    plt.title(column, loc='left', fontsize=12, fontweight=0, color=palette(num) )
             
# 标题
plt.suptitle("How the 9 students improved\nthese past few days?", fontsize=13, fontweight=0, color='black', style='italic', y=1.02)

plt.show()

 

import matplotlib.pyplot as plt
import numpy as np
import pandas as pd

df=pd.DataFrame({'x': range(1,11), 'y1': np.random.randn(10), 'y2': np.random.randn(10)+range(1,11), 'y3': np.random.randn(10)+range(11,21), 'y4': np.random.randn(10)+range(6,16), 'y5': np.random.randn(10)+range(4,14)+(0,0,0,0,0,0,0,-3,-8,-6), 'y6': np.random.randn(10)+range(2,12), 'y7': np.random.randn(10)+range(5,15), 'y8': np.random.randn(10)+range(4,14), 'y9': np.random.randn(10)+range(4,14) })

plt.style.use('seaborn-darkgrid')
my_dpi=96
fig=plt.figure(figsize=(700/my_dpi, 700/my_dpi), dpi=my_dpi)

palette = plt.get_cmap('Set1')

num=0
for column in df.drop('x', axis=1):  
    num+=1
    
    plt.subplot(3,3, num)
    
    for v in df.drop('x', axis=1):  
        plt.plot(df['x'], df[v], marker='', color='grey', linewidth=0.6, alpha=0.3)

    plt.plot(df['x'], df[column], marker='', color=palette(num), linewidth=2.4, alpha=0.9, label=column)

    plt.xlim(0,10)
    plt.ylim(-2,22)
    
    if num in range(7) :
        plt.tick_params(labelbottom='off')   
    if num not in [1,4,7] :
        plt.tick_params(labelleft='off')   
    
    plt.title(column, loc='left', fontsize=12, fontweight=0, color=palette(num) )
             
plt.suptitle("How the 9 students improved\nthese past few days?", fontsize=13, fontweight=0, color='black', style='italic', y=1.02)

fig.text(0.5, 0.02, 'Time', ha='center', va='center')
fig.text(0.06, 0.5, 'Note', ha='center', va='center', rotation='vertical')
plt.show()

 

import matplotlib.pyplot as plt
import numpy as np
import seaborn as sns
import pandas as pd
 
# https://www.kaggle.com/c/bike-sharing-demand/data
df = pd.read_csv('http://python-graph-gallery.com/wp-content/uploads/bike.csv', sep=",", index_col=0, parse_dates=True)

df['weekday'] = df.index.weekday
df['hour'] = df.index.hour
df['year'] = df.index.year
df['date'] = df.index.date

plt.plot(df['date'], df['count'])

fig, ax = plt.subplots(1)
x.plot(df['date'], df['count'])

fig.autofmt_xdate()
plt.show()

 

 

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本文来自：https://github.com/holtzy/The-Python-Graph-Gallery/blob/master/PGG_notebook.py