使用Docker-compose进行云部署中的分布式memcached(Distributed memcached in cloud deployment with Docker-compose)

 如果对np.genfromtxt使用names=True选项，它将在.csv的第一行中读取列名。 
 
 例如： 
 
import matplotlib.pyplot as plt
import numpy as np

# Make dummy csv file for this example
from io import StringIO 
result_csv = StringIO(u"""
xstuff, data1, data2, data3
0, 1, 2, 3
1, 1, 3, 4
2, 2, 1, 3
3, 1, 2, 5
""")

# Read in csv. Use names=True to also store column headers
per_data=np.genfromtxt(result_csv,delimiter=',',names=True)

# Loop over columns. Here I assume you have the x-data in the first column, so skip that one
for name in per_data.dtype.names[1:]:
    # Set the line's label to the column name
    plt.plot(per_data['xstuff'],per_data[name],label=name)

# Add a legend
plt.legend(loc=0)

plt.xlabel ('x stuff')
plt.ylabel ('y stuff')
plt.title('my test result')
plt.grid()
plt.show()
 
  

If you use the names=True option to np.genfromtxt, it will read in the first line of the .csv as the column names. 
 
For example:
 
import matplotlib.pyplot as plt
import numpy as np

# Make dummy csv file for this example
from io import StringIO 
result_csv = StringIO(u"""
xstuff, data1, data2, data3
0, 1, 2, 3
1, 1, 3, 4
2, 2, 1, 3
3, 1, 2, 5
""")

# Read in csv. Use names=True to also store column headers
per_data=np.genfromtxt(result_csv,delimiter=',',names=True)

# Loop over columns. Here I assume you have the x-data in the first column, so skip that one
for name in per_data.dtype.names[1:]:
    # Set the line's label to the column name
    plt.plot(per_data['xstuff'],per_data[name],label=name)

# Add a legend
plt.legend(loc=0)

plt.xlabel ('x stuff')
plt.ylabel ('y stuff')
plt.title('my test result')
plt.grid()
plt.show()