plt cheatsheet

py-cheatsheet.py

import matplotlib.pyplot as plt
import statistics
import collections
d = collections.defaultdict(lambda: 0)
 
x = statistics.mean(data1)
sys.argv;
"{0: <5}".format("abc")
"{:.2f}".format(0.001)

fig, ax = plt.subplots() #2, 2, sharex=True, sharey=True
ax.set_xlabel()
ax.set_xlim()
ax2 = ax.twinx()                                                                             
ax.plot(x, y_validloss, label="loss", color="blue", linewidth=4)
ax2.plot(x, y_validmse, label="MSE", color="red")
fig.suptitle("subtutile")
fig.legend()
plt.tight_layout()
plt.savefig(outname)
plt.clf()

with open("x.json") as fp:
    data = json.load(fp)
    
with open("x2.json", "w") as fp:
    json.dump(data, fp)

with open("stock3.pickle", "rb") as fp:
    stock = pickle.load(fp)
    
with open("stock3.pickle", "wb") as handle:
    pickle.dump(data, handle, protocol=pickle.HIGHEST_PROTOCOL)
    
    
if __name__ == "__main__":
    sys.argv[1]
    
    "{:.2f}.ckpt".format(testd)