# Create a file
import pandas as pd
from save_load_vars import save_vars_pkl
df = pd.read_csv(
"https://raw.githubusercontent.com/pandas-dev/pandas/main/doc/data/titanic.csv"
)
def myfunction(x):
return str(x) + "bbbb"
myfunction2 = lambda k: myfunction(k)
partofframe = df.Name.copy()[:50]
# Save the global vars
save_vars_pkl(g=globals(), folder=f"f:\\pklsavetest", interface="dill", protocol=None)
from save_load_vars import load_vars_pkl
load_vars_pkl(folder=f'f:\\pklsavetest',
name=__name__,interface='dill')
print(df)
print(myfunction(44))
print(partofframe)
print(df.Cabin.apply(myfunction2))
from save_load_vars import globals_from_dict
didi={
'a':'bobo',
'b':'bobao',
'c': [4,3,3]
}
globals_from_dict(didi,__name__)
print(a)
print(b)
print(c)