my_list = []
my_list = [1,2,3,4,'blabla']
Add an element to a list:
a.append(1)
Access an element at index i
a[i]
my_dict = {}
my_dict = {key1:val2, key2:val2, ...}
my_dict['key'] = val
for key in my_dict.keys():
print (key, my_dict[key])
Avoid closing the file using with:
# Open file in read mode:
# the file closes automatically at the end of the with block
with open('filename.csv', 'r') as f_in:
for line in f:
if "someword" in line:
# do something
pass
print line.split(',')
# Open the file in write mode, and create it if it doesn't exist:
# create a csv file type output:
with open('filename.csv', 'w+') as f_out:
f_out.write('something,something_else,last_thing\n')
# Open the file in append mode:
# Will continue writing at the end
with open('filename.csv', 'a') as f_out:
f_out.write('some_more,more_else,more_last_thing\n')
from pandas import read_csv
df = read_csv('filename.csv')
print (df['something'])
# For numerical columns, min, max, mean, ...
df['timing'].min()
df['ratio'].unique()
# Apply constraints to print only rows of interest:
df.loc[(df['ratio'] == 5) & (df['flux'] == 2000)]
Auto reload externally loaded files:
%load_ext autoreload
%autoreload 2
Paste code copied onto memory from somewhere else:
%paste
%cpaste
Show figures inline:
%matplotlib inline
%config InlineBackend.figure_format='retina'